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Cloud Computing | NPTEL 2023 | Week 3 Assignment Solutions

This set of MCQ(multiple choice questions) focuses on the  Cloud Computing NPTEL 2023 Week 3 Assignment Solutions .

Cloud Computing NPTEL week 3 assignment answers

Cloud computing is a scalable services consumption and delivery platform that provides on-demand computing service for shared pool of resources, namely servers, storage, networking, software, database, applications etc., over the Internet. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources, which can be rapidly provisioned and released with minimal management effort. This course will introduce various aspects of cloud computing, including fundamentals, management issues, security challenges and future research trends.

Course layout

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Week 0: Assignment answers Week 1:  Introduction to Cloud Computing Week 2: Cloud Computing Architecture Week 3: Service Management in Cloud Computing Week 4: Data Management in Cloud Computing Week 5:  Resource Management in Cloud Week 6: Cloud Security Week 7:  Open Source and Commercial Clouds, Cloud Simulator Week 8:  Research trend in Cloud Computing, Fog Computing Week 9:  VM Resource Allocation, Management and Monitoring Week 10:  Cloud-Fog-Edge enabled Analytics Week 11: Serverless Computing and FaaS Model Week 12: Case Studies and Recent Advancements

NOTE:  You can check your answer immediately by clicking show answer button. Cloud Computing NPTEL 2023 Week 3 Assignment Solution” contains 10 questions.

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Cloud Computing NPTEL 2023 Week 3 Assignment Solutions

Q1. In the context of aggregated demand in resource provisioning in the cloud, how does adding n independent demands affect the coefficient of variation (Cv)?

a) Increases the Cv b) Decreases the Cv c) Does not change the Cv d) Inversely proportional to the mean

Q2. What does the term “biasness towards vendors” imply in the context of SLA monitoring?

a) Vendor-driver selection of monitoring parameters b) Customer-driver selection of monitoring parameters c) Balanced approach in monitoring parameters d) Lack of active monitoring on the customer’s side

Q3. In the Openstack storage concept __________ storate persists until the VM is terminated and is managed by _____________.

a) Nova, Cinder b) Ephemeral, Cinder c) Cinder, Ephemeral d) Ephemeral, Nova

Q4. What condition makes periodic provisioning acceptable in the presence of linear demand?

a) High resource utilization b) Non-linear demand c) Instantaneous demand d) Flat demand

Q5. What is(are) the key factor(s) to consider in a hybrid model for utility pricing?

a) Reliability and accessibility b) Network cost and usage costs c) Peak to average demand ratio d) Interoperability overhead

Q6. What architecture is used in a parallel database for the efficient execution of SQL queries?

a) Shared memory architecture b) Shared disk architecture c) Shared nothing architecture d) Shared cache architecture

Q7. What type of environment benefits from utility pricing?

a) Environments with fixed demand levels b) Environments with limited resource scalability c) Environments with variable demand levels d) Environments with prepaid resource allocation

Q8. What is the role of Neutron in the provisioning flow in OpenStack?

a) Fetches information about the whole cluster from the database b) Publishes a message to the compute queue to trigger VM provisioning c) Configures IP, gateway, DNS name, and L2 connectivity d) Contacts Cinder to get volumne data

Q9. How does the master node in the Google File System maintain communication with chunk servers?

a) Command messages b) Update messages c) Query messages d) Heartbeat messages

Q10. What does the ‘availability’ metric represent in the monitoring and auditing of SLAs?

a) The speed at which a service responds b) The percentage of uptime for a service c) How often the service is available d) The ability for a resource to grow infinitely

Q1. Which of the following is/are properties of Web Services SLAs?

a) SLA automation is required for negotiation, provisioning, service delivery and monitoring. b) the QoS parameters are response time, SLA violation rate for reliability, availability and cost of service. c) UDDI (Universal Description Discovery and Integration) is used for resource allocation. d) The QoS parameters are related to security, privacy, trust, management, etc.

Answer: b), c)

Q2. A task takes time T in a uniprocessor system. In a parallel implementation, the task runs on P processors parallely. The parallel efficiency is Eff, where 0<Eff<1. What is the time taken by each processor (M) in this implementation?

a) M = T b) M = T/(EffxP) c) M = T/P d) M = (TxEff)/P

Q3. Row-oriented storage is optimal for transaction processing applications.

a) True b) False

Cloud Computing NPTEL 2022 Week 3 Assignment Solutions

Q4. Which of the following is/are the SLA requirement(s) for PaaS cloud delivery model?

a) Transparency b) Data Retention and Deletion c) Privacy d) Regulatory compliance

Answer: a), c), d)

Q5. In a cloud, total service uptime is 175 minutes and availability of the service is 0.85. What is the service downtime?

a) 55 minutes b) 148.75 minutes c) 26.25 minutes d) 45 minutes

Q6. Which of the following database system/architecture follow(s) Quorum protocol for a large number of concurrent reads & writes?

a) BigTable b) Dynamo c) Datastore d) Google File System (GFS)

Q7. Match the components of OpenStack with their functions.

a) 1-B, 2-D, 3-A, 4-C b) 1-B, 2-A, 3-D, 4-C c) 1-C, 2-B, 3-D, 4-A d) 1-D, 2-A, 3-B, 4-C

Q8. Let D(t) and R(t) be the instantaneous demand and resources at time t respectively. If demand is exponential (D(t)=e t ), any fixed provisioning interval (tp) according to the current demands will fall linearly behind.

Q9. Which of the following statement(s) regarding OpenStack storage is/are wrong?

a) Object storage is managed by Cinder b) Both ephemeral storage and block storage are accessible from within VM c) Block storage persists until VM is terminated d) Ephemeral storage is used to run operating system and/or scratch space

Answer: a), c)

Q10. Statement 1: Multiple KPIs are aggregated to SLA Statement 2: SLA contains SLO

a) Both statement 1 and 2 are correct b) Statement 1 is correct and Statement 2 is incorrect c) Statement 2 is correct and statement 1 is incorrect d) Both statement 1 and 2 are incorrect

Q1. Which of the following is/are NOT SLA requirement(s) of PaaS cloud delivery model?

a) Privacy b) Data Retention and Deletion c) Machine-Readable SLAs d) Certification

Q2. Which of the following is/are true regarding penalty cost?

a) Penalty cost ∝ ∫|D(t)/R(t)|dt b) If demand is flat, penalty is equal to 0. c) If demand is exponential (D(t)=e t ), any fixed provisioning interval (tp) according to the current demand will fall linearly behind. d) The penalty cost for exponential demand is exponential

Q3. Row-oriented storage is efficient for data-warehouse workloads.

Answer: b) False

Q4. Which of the following is/are example(s) of cloud SLA(s) with IaaS delivery model?

a) Amazon EC2 b) Google App Engine c) Salesforce CRM d) Zoho mail

Answer: a) Amazon EC2

Q5. Which of the following OpenStack components is used for block storage services?

a) Keystone b) Cinder c) Swift d) Neutron

Answer: b) Cinder

Cloud Computing NPTEL week 3 Assignment Solutions

Q6. In cloud, service downtime is 30 minutes and availability of the service is 0.80. What is the service uptime?

a) 120 minutes b) 60 minutes c) 150 minutes d) 135 minutes

Answer: c) 150 minutes

Q7. In Google File System (GFS), the master maintains regular communication with the chunk servers.

Answer: a) True

Q8. In a system, 400 unit workloads have been added. What will be the penalty?

a) 40% b) 100% c) 20% d) 8000%

Answer: c) 20%

Q9. Which of the following option(s) is/are correct?

a) Service Level Agreement(SLA) contains Service Level Objectives(SLO) b) Service Level Objectives(SLO) contains Service Level Agreement(SLA) c) Multiple Service Level Agreements (SLAs) are aggregated to Key Performance Indiocator (KPI) d) Key Performance Indiocators (KPIs) are aggregated to Service Level Ojbectives(SLO)

Answer: a), d)

Q10. Statement 1: In OpenStack block storage, the stored objects persist until the VM is terminated. Statement 2: In OpenStack ephemeral storage, the stored objects are accessible from within VM as local file system.

a) Both statement 1 and 2 are correct b) Statement 1 is correct and statement 2 is incorrect c) Statement 2 is correct and statement 1 is incorrect d) Both statement 1 and 2 are incorrect

Answer: c) Statement 2 is correct and statement 1 is incorrect

Previous Course – Week 3 Assignment Solutions

Q1. Which of the following is false about SLA contents

a) A complete, specific definition of each service b) An auditing mechanism to monitor the services c) The responsibilities of the service provider and consumer d) None of these

Answer: d) None of these

Q2. In cloud, computing resources are allocated

a) Through a centralized service discovering agent b) By service level agreement c) Globally without any centralized agent d) All of them

Answer: c) Globally without any centralized agent

Q3. Which of the following is correct about Availability?

a) Availability = 1- (UpTime / TotalTime) b) Availability = 1+ (DownTime / UpTime) c) Availability = 1+ (UpTime / DownTime) d) Availability = 1- (DownTime / UpTime)

Answer: d) Availability = 1- (DownTime / UpTime)

Q4. Statement 1: Coefficient of variance represents the ratio of standard deviation to mean. Statement 2: Coefficient of variance is a useful statistic for comparing the degree of uniformity from one data series to another.

a) Only statement 1 is true b) Only statement 2 is true c) Both the statements are true d) Both the statements are False

Answer: a) Both the statements are true

Q5. Say a cloud service is well maintaining it’s 95% availability as mentioned in Service Level Agreement. However, still the services are not performing as expected when the load increases abruptly. The problem can be referred to as an issue of

a) Load balancing b) Linearity c) Reliability d) Durability

Answer: b) Linearity

Q6. Which of the following is true about penalty, where D(t) is instantaneous demand at time t and R(t) is response at time t?

a) Penalty ∝ ∫ | R(t) * D(t) | dt b) Penalty ∝ ∫ | D(t) + R(t) | dt c) Penalty ∝ ∫ | D(t) – R(t) | dt d) None of these

Answer: c) Penalty ∝ ∫ | D(t) – R(t) | dt

Q7. It is absolutely beneficial to purchase a cloud service when

a) Utility premium < the peak to average demand ratio b) Utility premium > the peak to average demand ratio c) Utility premium <= the peak to average demand ratio d) Utility premium >= the peak to average demand ratio

Answer: a) Utility premium < the peak to average demand ratio

Q8. If R t is the ratio of execution time taken by a process in sequential and parallel architecture, and p is the number of parallel computing nodes available, then the parallel efficiency is

a) R t / p b) p / R t c) None of the above d) p x R t

Answer: a) Rt / p

Q9. Statement 1: Hadoop Distributed File System is an open source implementation of GFS architecture. Statement 2: In Google File System, the master maintains regular communication with the chunk servers.

a) Only statement 1 is true b) Only statement 2 is true c) Both the statements are true d) Both the statements are false

Answer: c) Both the statements are true

Q10. Which of the following is true?

a) IaaS can be built on PaaS b) PaaS can be built on SaaS c) IaaS can be built on SaaS d) None of the above

Answer: d) None of the above

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NPTEL Assignment Answers and Solutions 2024 (July-Dec). Get Answers of Week 1 2 3 4 5 6 7 8 8 10 11 12 for all courses. This guide offers clear and accurate answers for your all assignments across various NPTEL courses

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Nptel assignment answers 2024 with solutions (july-dec), how to use this repo to see nptel assignment answers and solutions 2024.

If you're here to find answers for specific NPTEL courses, follow these steps:

Access the Course Folder:

  • Navigate to the folder of the course you are interested in. Each course has its own folder named accordingly, such as cloud-computing or computer-architecture .

Locate the Weekly Assignment Files:

  • Inside the course folder, you will find files named week-01.md , week-02.md , and so on up to week-12.md . These files contain the assignment answers for each respective week.

Select the Week File:

  • Click on the file corresponding to the week you are interested in. For example, if you need answers for Week 3, open the week-03.md file.

Review the Answers:

  • Each week-XX.md file provides detailed solutions and explanations for that week’s assignments. Review these files to find the information you need.

By following these steps, you can easily locate and use the assignment answers and solutions for the NPTEL courses provided in this repository. We hope this resource assists you in your studies!

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  • Deep Learning IIT Ropar
  • Digital Circuits
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  • Introduction to Industry 4.0 and Industrial IoT
  • Introduction to Internet of Things
  • Introduction to Machine Learning IIT KGP
  • Introduction to Machine Learning
  • Introduction to Operating Systems
  • ML and Deep Learning Fundamentals and Applications
  • Problem Solving Through Programming in C
  • Programming DSA Using Python
  • Programming in Java
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  • Python for Data Science
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  • Computer Science and Engineering
  • NOC:Cloud computing (Video) 
  • Co-ordinated by : IIT Kharagpur
  • Available from : 2017-06-08
  • Intro Video
  • Lecture 11:
  • Lecture 12:
  • Lecture 13 :
  • lecture 14 :
  • Lecture 15 :
  • Lecture 17:
  • Lecture 18:
  • Lecture 19:
  • Lecture 20:
  • Lecture 21 : SLA-Tutorial
  • Lecture 22 : Cloudonomics-Tutorial
  • Lecture 23 : MapReduce-Tutorial
  • Lecture 24 : ResourceMgmt-I
  • Lecture 25 : ResourceMgmt-II
  • Lecture 26: Cloud Computing: Security I
  • Lecture 27: Cloud Computing: Security II
  • Lecture 28: Cloud Computing: Security III
  • Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud
  • Lecture 30; Cloud Computing: Broker for Cloud Marketplace
  • Lecture 31: Mobile Cloud Computing -I
  • Lecture 32: Mobile Cloud Computing -II
  • Lecture 33: Fog Computing-I
  • Lecture 34: Fog Computing-II
  • Lecture 35:Use Case-Geo-spatial Cloud
  • Lecture 36 : Introduction to DOCKER Container
  • Lecture 37 : Green Cloud
  • Lecture 38 : Sensor Cloud Computing
  • Lecture 39 : IoT Cloud
  • Lecture 40 : Course Summary and Research Areas
  • Lecture - 41 Cloud–Fog Computing - Overview
  • Lecture - 42 Resource Management - I
  • Lecture 43 Resource Management - II
  • Lecture 44 Cloud Federation
  • Lecture 45 "VM Migration - Basics Migration strategies"
  • Lecture 46 "VM Migration - Basics Migration strategies"
  • Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container "
  • Lecture 48 "Docker Container – Overview Docker – Components Docker – Architecture"
  • Lecture 49 Docker Container - Demo
  • Lecture 50 Docker Container - Demo
  • Lecture 51 Dew Computing
  • Lecture 52 Serverless Computing - I
  • Lecture 53 Serverless Computing - II
  • Lecture 54 Sustainable Cloud Computing - I
  • Lecture 55 Sustainable Cloud Computing - II
  • Live Session 11-03-2020
  • Watch on YouTube
  • Assignments
  • Download Videos
  • Transcripts
  • Lecture Notes (1)
NameDownloadDownload Size
Lecture Note 38M
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21Lecture 21 : SLA-Tutorial
22Lecture 22 : Cloudonomics-Tutorial
23Lecture 23 : MapReduce-Tutorial
24Lecture 24 : ResourceMgmt-I
25Lecture 25 : ResourceMgmt-II
26Lecture 26: Cloud Computing: Security I
27Lecture 27: Cloud Computing: Security II
28Lecture 28: Cloud Computing: Security III
29Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud
30Lecture 30; Cloud Computing: Broker for Cloud Marketplace
31Lecture 31: Mobile Cloud Computing -I
32Lecture 32: Mobile Cloud Computing -II
33Lecture 33: Fog Computing-I
34Lecture 34: Fog Computing-II
35Lecture 35:Use Case-Geo-spatial Cloud
36Lecture 36 : Introduction to DOCKER Container
37Lecture 37 : Green Cloud
38Lecture 38 : Sensor Cloud Computing
39Lecture 39 : IoT Cloud
40Lecture 40 : Course Summary and Research Areas
41Lecture - 41 Cloud–Fog Computing - Overview
42Lecture - 42 Resource Management - I
43Lecture 43 Resource Management - II
44Lecture 44 Cloud Federation
45Lecture 45 "VM Migration - Basics Migration strategies"
46Lecture 46 "VM Migration - Basics Migration strategies"
47Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container "
48Lecture 48 "Docker Container – Overview Docker – Components Docker – Architecture"
49Lecture 49 Docker Container - Demo
50Lecture 50 Docker Container - Demo
51Lecture 51 Dew Computing
52Lecture 52 Serverless Computing - I
53Lecture 53 Serverless Computing - II
54Lecture 54 Sustainable Cloud Computing - I
55Lecture 55 Sustainable Cloud Computing - II
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23Lecture 23 : MapReduce-Tutorial
24Lecture 24 : ResourceMgmt-I
25Lecture 25 : ResourceMgmt-II
26Lecture 26: Cloud Computing: Security I
27Lecture 27: Cloud Computing: Security II
28Lecture 28: Cloud Computing: Security III
29Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud
30Lecture 30; Cloud Computing: Broker for Cloud Marketplace
31Lecture 31: Mobile Cloud Computing -I
32Lecture 32: Mobile Cloud Computing -II
33Lecture 33: Fog Computing-I
34Lecture 34: Fog Computing-II
35Lecture 35:Use Case-Geo-spatial Cloud
36Lecture 36 : Introduction to DOCKER Container
37Lecture 37 : Green Cloud
38Lecture 38 : Sensor Cloud Computing
39Lecture 39 : IoT Cloud
40Lecture 40 : Course Summary and Research Areas
41Lecture - 41 Cloud–Fog Computing - OverviewPDF unavailable
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47Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container "PDF unavailable
48Lecture 48 "Docker Container – Overview Docker – Components Docker – Architecture"PDF unavailable
49Lecture 49 Docker Container - DemoPDF unavailable
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51Lecture 51 Dew ComputingPDF unavailable
52Lecture 52 Serverless Computing - IPDF unavailable
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23Lecture 23 : MapReduce-Tutorial
24Lecture 24 : ResourceMgmt-I
25Lecture 25 : ResourceMgmt-II
26Lecture 26: Cloud Computing: Security I
27Lecture 27: Cloud Computing: Security II
28Lecture 28: Cloud Computing: Security III
29Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud
30Lecture 30; Cloud Computing: Broker for Cloud Marketplace
31Lecture 31: Mobile Cloud Computing -I
32Lecture 32: Mobile Cloud Computing -II
33Lecture 33: Fog Computing-I
34Lecture 34: Fog Computing-II
35Lecture 35:Use Case-Geo-spatial Cloud
36Lecture 36 : Introduction to DOCKER Container
37Lecture 37 : Green Cloud
38Lecture 38 : Sensor Cloud Computing
39Lecture 39 : IoT Cloud
40Lecture 40 : Course Summary and Research Areas
41Lecture - 41 Cloud–Fog Computing - OverviewNot Available
42Lecture - 42 Resource Management - INot Available
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51Lecture 51 Dew ComputingNot Available
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22Lecture 22 : Cloudonomics-Tutorial
23Lecture 23 : MapReduce-Tutorial
24Lecture 24 : ResourceMgmt-I
25Lecture 25 : ResourceMgmt-II
26Lecture 26: Cloud Computing: Security I
27Lecture 27: Cloud Computing: Security II
28Lecture 28: Cloud Computing: Security III
29Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud
30Lecture 30; Cloud Computing: Broker for Cloud Marketplace
31Lecture 31: Mobile Cloud Computing -I
32Lecture 32: Mobile Cloud Computing -II
33Lecture 33: Fog Computing-I
34Lecture 34: Fog Computing-II
35Lecture 35:Use Case-Geo-spatial Cloud
36Lecture 36 : Introduction to DOCKER Container
37Lecture 37 : Green Cloud
38Lecture 38 : Sensor Cloud Computing
39Lecture 39 : IoT Cloud
40Lecture 40 : Course Summary and Research Areas
41Lecture - 41 Cloud–Fog Computing - OverviewNot Available
42Lecture - 42 Resource Management - INot Available
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22Lecture 22 : Cloudonomics-Tutorial
23Lecture 23 : MapReduce-Tutorial
24Lecture 24 : ResourceMgmt-I
25Lecture 25 : ResourceMgmt-II
26Lecture 26: Cloud Computing: Security I
27Lecture 27: Cloud Computing: Security II
28Lecture 28: Cloud Computing: Security III
29Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud
30Lecture 30; Cloud Computing: Broker for Cloud Marketplace
31Lecture 31: Mobile Cloud Computing -I
32Lecture 32: Mobile Cloud Computing -II
33Lecture 33: Fog Computing-I
34Lecture 34: Fog Computing-II
35Lecture 35:Use Case-Geo-spatial Cloud
36Lecture 36 : Introduction to DOCKER Container
37Lecture 37 : Green Cloud
38Lecture 38 : Sensor Cloud Computing
39Lecture 39 : IoT Cloud
40Lecture 40 : Course Summary and Research Areas
41Lecture - 41 Cloud–Fog Computing - OverviewNot Available
42Lecture - 42 Resource Management - INot Available
43Lecture 43 Resource Management - IINot Available
44Lecture 44 Cloud FederationNot Available
45Lecture 45 "VM Migration - Basics Migration strategies"Not Available
46Lecture 46 "VM Migration - Basics Migration strategies"Not Available
47Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container "Not Available
48Lecture 48 "Docker Container – Overview Docker – Components Docker – Architecture"Not Available
49Lecture 49 Docker Container - DemoNot Available
50Lecture 50 Docker Container - DemoNot Available
51Lecture 51 Dew ComputingNot Available
52Lecture 52 Serverless Computing - INot Available
53Lecture 53 Serverless Computing - IINot Available
54Lecture 54 Sustainable Cloud Computing - INot Available
55Lecture 55 Sustainable Cloud Computing - IINot Available
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22Lecture 22 : Cloudonomics-Tutorial
23Lecture 23 : MapReduce-Tutorial
24Lecture 24 : ResourceMgmt-I
25Lecture 25 : ResourceMgmt-II
26Lecture 26: Cloud Computing: Security I
27Lecture 27: Cloud Computing: Security II
28Lecture 28: Cloud Computing: Security III
29Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud
30Lecture 30; Cloud Computing: Broker for Cloud Marketplace
31Lecture 31: Mobile Cloud Computing -I
32Lecture 32: Mobile Cloud Computing -II
33Lecture 33: Fog Computing-I
34Lecture 34: Fog Computing-II
35Lecture 35:Use Case-Geo-spatial Cloud
36Lecture 36 : Introduction to DOCKER Container
37Lecture 37 : Green Cloud
38Lecture 38 : Sensor Cloud Computing
39Lecture 39 : IoT Cloud
40Lecture 40 : Course Summary and Research Areas
41Lecture - 41 Cloud–Fog Computing - OverviewNot Available
42Lecture - 42 Resource Management - INot Available
43Lecture 43 Resource Management - IINot Available
44Lecture 44 Cloud FederationNot Available
45Lecture 45 "VM Migration - Basics Migration strategies"Not Available
46Lecture 46 "VM Migration - Basics Migration strategies"Not Available
47Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container "Not Available
48Lecture 48 "Docker Container – Overview Docker – Components Docker – Architecture"Not Available
49Lecture 49 Docker Container - DemoNot Available
50Lecture 50 Docker Container - DemoNot Available
51Lecture 51 Dew ComputingNot Available
52Lecture 52 Serverless Computing - INot Available
53Lecture 53 Serverless Computing - IINot Available
54Lecture 54 Sustainable Cloud Computing - INot Available
55Lecture 55 Sustainable Cloud Computing - IINot Available
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22Lecture 22 : Cloudonomics-Tutorial
23Lecture 23 : MapReduce-Tutorial
24Lecture 24 : ResourceMgmt-I
25Lecture 25 : ResourceMgmt-II
26Lecture 26: Cloud Computing: Security I
27Lecture 27: Cloud Computing: Security II
28Lecture 28: Cloud Computing: Security III
29Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud
30Lecture 30; Cloud Computing: Broker for Cloud Marketplace
31Lecture 31: Mobile Cloud Computing -I
32Lecture 32: Mobile Cloud Computing -II
33Lecture 33: Fog Computing-I
34Lecture 34: Fog Computing-II
35Lecture 35:Use Case-Geo-spatial Cloud
36Lecture 36 : Introduction to DOCKER Container
37Lecture 37 : Green Cloud
38Lecture 38 : Sensor Cloud Computing
39Lecture 39 : IoT Cloud
40Lecture 40 : Course Summary and Research Areas
41Lecture - 41 Cloud–Fog Computing - OverviewNot Available
42Lecture - 42 Resource Management - INot Available
43Lecture 43 Resource Management - IINot Available
44Lecture 44 Cloud FederationNot Available
45Lecture 45 "VM Migration - Basics Migration strategies"Not Available
46Lecture 46 "VM Migration - Basics Migration strategies"Not Available
47Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container "Not Available
48Lecture 48 "Docker Container – Overview Docker – Components Docker – Architecture"Not Available
49Lecture 49 Docker Container - DemoNot Available
50Lecture 50 Docker Container - DemoNot Available
51Lecture 51 Dew ComputingNot Available
52Lecture 52 Serverless Computing - INot Available
53Lecture 53 Serverless Computing - IINot Available
54Lecture 54 Sustainable Cloud Computing - INot Available
55Lecture 55 Sustainable Cloud Computing - IINot Available
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22Lecture 22 : Cloudonomics-Tutorial
23Lecture 23 : MapReduce-Tutorial
24Lecture 24 : ResourceMgmt-I
25Lecture 25 : ResourceMgmt-II
26Lecture 26: Cloud Computing: Security I
27Lecture 27: Cloud Computing: Security II
28Lecture 28: Cloud Computing: Security III
29Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud
30Lecture 30; Cloud Computing: Broker for Cloud Marketplace
31Lecture 31: Mobile Cloud Computing -I
32Lecture 32: Mobile Cloud Computing -II
33Lecture 33: Fog Computing-I
34Lecture 34: Fog Computing-II
35Lecture 35:Use Case-Geo-spatial Cloud
36Lecture 36 : Introduction to DOCKER Container
37Lecture 37 : Green Cloud
38Lecture 38 : Sensor Cloud Computing
39Lecture 39 : IoT Cloud
40Lecture 40 : Course Summary and Research Areas
41Lecture - 41 Cloud–Fog Computing - OverviewNot Available
42Lecture - 42 Resource Management - INot Available
43Lecture 43 Resource Management - IINot Available
44Lecture 44 Cloud FederationNot Available
45Lecture 45 "VM Migration - Basics Migration strategies"Not Available
46Lecture 46 "VM Migration - Basics Migration strategies"Not Available
47Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container "Not Available
48Lecture 48 "Docker Container – Overview Docker – Components Docker – Architecture"Not Available
49Lecture 49 Docker Container - DemoNot Available
50Lecture 50 Docker Container - DemoNot Available
51Lecture 51 Dew ComputingNot Available
52Lecture 52 Serverless Computing - INot Available
53Lecture 53 Serverless Computing - IINot Available
54Lecture 54 Sustainable Cloud Computing - INot Available
55Lecture 55 Sustainable Cloud Computing - IINot Available
Sl.No Chapter Name Tamil
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21Lecture 21 : SLA-Tutorial
22Lecture 22 : Cloudonomics-Tutorial
23Lecture 23 : MapReduce-Tutorial
24Lecture 24 : ResourceMgmt-I
25Lecture 25 : ResourceMgmt-II
26Lecture 26: Cloud Computing: Security I
27Lecture 27: Cloud Computing: Security II
28Lecture 28: Cloud Computing: Security III
29Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud
30Lecture 30; Cloud Computing: Broker for Cloud Marketplace
31Lecture 31: Mobile Cloud Computing -I
32Lecture 32: Mobile Cloud Computing -II
33Lecture 33: Fog Computing-I
34Lecture 34: Fog Computing-II
35Lecture 35:Use Case-Geo-spatial Cloud
36Lecture 36 : Introduction to DOCKER Container
37Lecture 37 : Green Cloud
38Lecture 38 : Sensor Cloud Computing
39Lecture 39 : IoT Cloud
40Lecture 40 : Course Summary and Research Areas
41Lecture - 41 Cloud–Fog Computing - OverviewNot Available
42Lecture - 42 Resource Management - INot Available
43Lecture 43 Resource Management - IINot Available
44Lecture 44 Cloud FederationNot Available
45Lecture 45 "VM Migration - Basics Migration strategies"Not Available
46Lecture 46 "VM Migration - Basics Migration strategies"Not Available
47Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container "Not Available
48Lecture 48 "Docker Container – Overview Docker – Components Docker – Architecture"Not Available
49Lecture 49 Docker Container - DemoNot Available
50Lecture 50 Docker Container - DemoNot Available
51Lecture 51 Dew ComputingNot Available
52Lecture 52 Serverless Computing - INot Available
53Lecture 53 Serverless Computing - IINot Available
54Lecture 54 Sustainable Cloud Computing - INot Available
55Lecture 55 Sustainable Cloud Computing - IINot Available
Sl.No Chapter Name Telugu
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21Lecture 21 : SLA-Tutorial
22Lecture 22 : Cloudonomics-Tutorial
23Lecture 23 : MapReduce-Tutorial
24Lecture 24 : ResourceMgmt-I
25Lecture 25 : ResourceMgmt-II
26Lecture 26: Cloud Computing: Security I
27Lecture 27: Cloud Computing: Security II
28Lecture 28: Cloud Computing: Security III
29Lecture 29: Cloud Computing: Security Issues in Collaborative SaaS Cloud
30Lecture 30; Cloud Computing: Broker for Cloud Marketplace
31Lecture 31: Mobile Cloud Computing -I
32Lecture 32: Mobile Cloud Computing -II
33Lecture 33: Fog Computing-I
34Lecture 34: Fog Computing-II
35Lecture 35:Use Case-Geo-spatial Cloud
36Lecture 36 : Introduction to DOCKER Container
37Lecture 37 : Green Cloud
38Lecture 38 : Sensor Cloud Computing
39Lecture 39 : IoT Cloud
40Lecture 40 : Course Summary and Research Areas
41Lecture - 41 Cloud–Fog Computing - OverviewNot Available
42Lecture - 42 Resource Management - INot Available
43Lecture 43 Resource Management - IINot Available
44Lecture 44 Cloud FederationNot Available
45Lecture 45 "VM Migration - Basics Migration strategies"Not Available
46Lecture 46 "VM Migration - Basics Migration strategies"Not Available
47Lecture 47 "Containers Container based Virtualization Kubernetes Docker Container "Not Available
48Lecture 48 "Docker Container – Overview Docker – Components Docker – Architecture"Not Available
49Lecture 49 Docker Container - DemoNot Available
50Lecture 50 Docker Container - DemoNot Available
51Lecture 51 Dew ComputingNot Available
52Lecture 52 Serverless Computing - INot Available
53Lecture 53 Serverless Computing - IINot Available
54Lecture 54 Sustainable Cloud Computing - INot Available
55Lecture 55 Sustainable Cloud Computing - IINot Available
Sl.No Language Book link
1English
2Bengali
3GujaratiNot Available
4Hindi
5Kannada
6Malayalam
7Marathi
8Tamil
9Telugu

NPTEL Cloud Computing Week 3 Assignment Answers July 2023

NPTEL Cloud Computing Week 3 Assignment Answers 2023 :- All the Answers are provided here to help the students as a reference, You must submit your assignment at your own knowledge.

NPTEL Cloud Computing Week 3 Assignment Answers 2023

1. In the context of aggregated demand i n resource provisioning in the cloud, how does adding n independent demands affect the coefficient of variation (C)?

  • A) Increases the Cv
  • B) Decreases the Cv
  • C) Does not change the E x
  • D) Inversely proportional to the mean

2. What does the term “biasness towards vendors” imply in the context of SLA monitoring? A) Vendor-driven selection of monitoring parameters B) Customer-driven selection of monitoring parameters C) Balanced approach i n monitoring parameters D) Lack of active monitoring on the customer’s side

3. In the Openstack storage concept ______ storage persists until the VM is terminated and is managed by _________ A) Nova, Cinder B) Ephemeral, Cinder C) Cinder, Ephemeral D) Ephemeral , Nova

4. What condition makes periodic provisioning acceptable in the presence of linear demand? A) High resource utilization B) Non-linear demand C) Instantaneous demand D) Flat demand

5. What is (are) the key factor(s) to consider in a hybrid model for utility pricing? A) Reliability a n d accessibility B) Network cost and usage costs C) Peak to average demand ratio D) Interoperability overhead

6. What architecture is used in a parallel database for the efficient execution of SQL queries? A) Shared memory architecture B) Shared d i sk architecture C) Shared nothing architecture D) Shared cache architecture

7. What type of environment benefits from utility pricing? A) Environments with fixed demand levels B) Environments with limited resource scalability C) Environments w i th variable demand levels D) Environments with prepaid resource allocation

8. What is the role of Neutron in the provisioning flow in Open Stack? A) Fetches information about the whole cluster from the database B) Publishes a message to the compute queue to trigger VM provisioning C) Configures IP, gateway, DNS name, and L2 connectivity. D) Contacts C i nder to get volume data

9. How does the master node in the Google File System maintain communication with chunk servers? A) Command messages B) Update messages C) Query messages D) Heartbe a t messages

10. What does the ‘availability’ metric represent in the monitoring and auditing of SLAs? A) The speed at which a service responds B) The percentage of uptime for a service C) How often the service i s available D) The ability for a resource to grow infinitely

NPTEL Cloud Computing Week 3 Assignment Answers 2022 [July-Dec]

1. Which of the following is/are NOT SLA requirement(s) of PaaS cloud delivery model? a. Privacy b. Data Retention and Deletion c. Machine-Readable SLAs d. Certification

2. Which of the following is/are true regarding penalty cost? (Here D(t) and R(t) are instantaneous demand and resources at time t.) a. Penalty cost ox ID()/R()|dt b. If demand is flat, penalty is equal to 0. c. If demand is exponential (D(t)=e’), any fixed provisioning interval (tp) according to the current demands will fall linearly behind. d. The penalty cost for exponential demand is exponential.

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NPTEL Cloud Computing Week 3 Assignment Answers July 2023

3. Row-oriented storage is efficient for data-warehouse workloads. a . TRUE b. FALSE

4. Which of the following is/are example(s) of cloud SLA(s) with IlaaS delivery model? a. Amazon EC2 b. Google App Engine c. Salesforce CRM d. Zoho mail

5. Which of the following OpenStack components is used for block storage services? a. Keystone b. Cinder c. Swift d. Neutron

6. In cloud , service downtime is 30 minutes and availability of the service is 0.80. What is the service uptime? (a) 120 minutes (b) 60 minutes (c) 150 minutes (d) 135 minutes

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7 . In Google File System (GFS), the master maintains regular communication with the chunk servers. a. TRUE b. FALSE

8. In a system, 400 unit workloads have been added. What will be the penalty? a. 40% b. 100 % c. 20% d. 8000%

9. Which of the following option(s) is/are correct? a. Service Level Agreement(SLA) contains Service Level Objectives(SLO) b. Service Level Objectives(SLO) contains Service Level Agreement(SLA) c. Multiple Service Level Agreements (SLAs) are aggregated to Key Performance Indiocator (KPI) d. Key Performance Indiocators (KP I s) are aggregated to Service Level Objectives(SLO)

10. Statement 1: In OpenStack block storage, the stored objects persist until the VM is terminated. Statement 2: In OpenStack ephemeral storage, the stored objects are accessible from within VM as local file system. a. Both statement 1 and 2 are correct b. Statement 1 is correct and statement 2 is incorrect c. Statement 2 is correct and statement 1 is incorrect d. Both statement 1 and 2 are incorrect

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What is Cloud Computing?

Cloud computing is a scalable services consumption and delivery platform that provides on-demand computing service for a shared pool of resources, namely servers, storage, networking, software, database, applications, etc, over the internet is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources, which can be rapidly provisioned and released with minimal management effort. This course will introduce various aspects of cloud computing, including fundamentals, management issues, security challenges, and future research trends. This will help students (both UG and PG levels) and researchers to use and explore the cloud computing platforms.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

NPTEL Cloud Computing Week 3 Assignment Answers 2022 [Jan 2022]

Q1. Which of the following is false about SLA contents 

a) A complete, specific definition of each service  b) An auditing mechanism to monitor the services  c) The responsibilities of the service provider and consumer  d) None of these

Answer:- d) None of these

FOR NEXT WEEK ASSIGNMENT ANSWERS

Q2. In cloud, computing resources are allocated 

a) Through a centralized service discovering agent  b) By service level agreement  c) Globally without any centralized agent  d) All of them

Answer:- c) Globally without any centralized agent 

Q3. Which of the following is correct about Availability? 

a) Availability = 1- (UpTime / TotalTime)  b) Availability = 1+ (DownTime / UpTime)  c) Availability = 1+ (UpTime / DownTime)  d) Availability = 1- (DownTime / UpTime)

Answer:- d) Availability = 1- (DownTime / UpTime)

Q4. Statement 1: Coefficient of variance represents the ratio of standard deviation to mean. Statement 2: Coefficient of variance is a useful statistic for comparing the degree of uniformity from one data series to another. 

a) Only statement 1 is true  b) Only statement 2 is true  c) Both the statements are true  d) Both the statements are False

Answer:- c) Both the statements are true 

Q5. Say a cloud service is well maintaining it’s 95% availability as mentioned in Service Level Agreement. However, still the services are not performing as expected when the load increases abruptly. The problem can be referred to as an issue of 

a) Load balancing  b) Linearity  c) Reliability  d) Durability

Answer:- c) Reliability 

Q6. Which of the following is true about penalty, where D(t) is instantaneous demand at time t and R(t) is response at time t? 

a) Penalty ∝ ∫ | R(t) * D(t) | dt  b) Penalty ∝ ∫ | D(t) + R(t) | dt  c) Penalty ∝ ∫ | D(t) – R(t) | dt  d) None of these

Answer:- c) Penalty ∝ ∫ | D(t) – R(t) | dt 

Q7. It is absolutely beneficial to purchase a cloud service when 

a) Utility premium < the peak to average demand ratio  b) Utility premium > the peak to average demand ratio  c) Utility premium <= the peak to average demand ratio  d) Utility premium >= the peak to average demand ratio

Answer:- a) Utility premium < the peak to average demand ratio 

Q8. If R t is the ratio of execution time taken by a process in sequential and parallel architecture, and p is the number of parallel computing nodes available, then the parallel efficiency is

a) R t /p b) p / R t c) None of the above d) px Rt

Answer:- a) R t /p

Q9. Statement 1: Hadoop Distributed File System is an open source implementation of GFS architecture. Statement 2: In Google File System, the master maintains regular communication with the chunk servers. 

a) Only statement 1 is true  b) Only statement 2 is true  c) Both the statements are true  d) Both the statements are false

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Q10. Which of the following is true? 

a) IaaS can be built on PaaS  b) PaaS can be built on SaaS  c) IaaS can be built on SaaS  d) None of the above

Answer:- d) None of the above

Disclaimer :- We do not claim 100% surety of solutions, these solutions are based on our sole expertise, and by using posting these answers we are simply looking to help students as a reference, so we urge do your assignment on your own.

NPTEL Cloud Computing Week 3 Assignment Answers 2022 :- All the Answers provided here to help the students as a reference, You must submit your assignment at your own knowledge.

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Cloud Computing | Week 7

Session: JAN-APR 2024

Course Name: Cloud Computing

Course Link: Click Here

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These are Nptel Cloud Computing Week 7 Assignment 7 Answers

Q1. Which of the following is/are key requirement(s) of Mobile Cloud Computing? A) Simple APIs offering access to mobile services B) Internet access to remotely stored applications in the cloud C) Sophisticated APIs requiring knowledge of underlying network technologies D) Web interface

Answer: A), B), D)

Q2. In Mobile Cloud Computing, the synchronizer module collects results of split execution and combines them, and makes the execution details transparent to the user. A) TRUE B) FALSE

Answer: A) TRUE

Q3. Geographical distribution of server nodes is Cloud Computing. in Fog Computing and in A) Distributed, Centralized B) Distributed, Distributed C) Centralized, Distributed D) Centralized, Centralized

Answer: A) Distributed, Centralized

Q4. Formulate the amount of energy saved (E) during offloading for the given data. Energy cost/second while when mobile phone is doing computation = C1 Energy cost/second while when mobile phone is idle = C2 Energy cost/second while when mobile phone is transmitting the data = C3 Speed of cloud to compute k instructions = Sc Speed of mobile to compute k instructions = Sm Data need to transmit = D Bandwidth of the wireless Internet = B A) E = C2(k/Sm) – C1(k/Sc) – C3(D/B) B) E = C1(k/Sm) – C2(k/Sc) – C3(D/B) C) E = C3(k/Sm) – C2(k/Sc) – C1(D/B) D) E = C1(k/Sc) – C2(k/Sm) – C3(D/B)

Answer: B) E = C1(k/Sm) – C2(k/Sc) – C3(D/B)

Q5. Which of the following is/are not a benefit of Fog computing? A) Location awareness B) Higher latency as compared to cloud computing C) Improved QoS D) Man-in-the-middle-attack

Answer: B), D)

Q6. Population of a city/town is a static geographic information. A)TRUE B)FALSE

Answer: B)FALSE

Q7. Which of the following statement(s) is/are FALSE about Fog Computing? A) Intelligence is brought to the cloud from the end users. B) Fog computing is used for real-time applications C) Fog nodes’ response time is higher than cloud server D) Network routers, WiFi Gateways will be capable of running applications

Answer: A), C)

Q8. Fog Computing has _______ number of server nodes and _______ has delay jitter compared to Cloud Computing. A) small, higher B) large, higher C) small, lower D) large, lower

Answer: D) large, lower

Q9. In Geospatial Cloud Models, which level of interoperability ensures the ability to “consume” the information? A) Service Level Interoperability B) Security Level Interoperability C) Data Level Interoperability D) None of the above

Answer: C) Data Level Interoperability

Q10. Consider the statements and select the correct answer: Statement I: In Geospatial cloud, data services in cloud can be run through IaaS service model. Statement II: Web service is the key technology to provide Geospatial services. A) Statement 1 is correct but Statement 2 is incorrect B) Statement 2 is correct but Statement 1 is incorrect C) Both the statements are correct D) Both the statements are incorrect.

Answer: B) Statement 2 is correct but Statement 1 is incorrect

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Session: JULY-DEC 2023

These are Nptel Cloud Computing week 7 Assignment 7 Answers

Q1. ______ ensures the ability to exchange/obtain the information to be “consumed”. a) Data Level Interoperability b) Security Level Interoperability c) Service Level Interoperability d) None of the above

Answer: c) Service Level Interoperability

Q2. Fog computing enablers are a. Virtualization b. Big data c. Service oriented architecture d. None of these

Answer: a, c

Q3. Consider the following statements: Statement 1: In Geospatial Cloud, it is needed to integrate data from heterogeneous back-end data services. Statement 2: Data services can be inside and/or outside of the cloud environment in Geospatial Cloud. a. Statement 1 is Correct, but Statement 2 is Incorrect. b. Statement 2 is Correct, but Statement 1 is Incorrect. c. Both statements are Correct. d. Both statements are Incorrect

Answer: c. Both statements are Correct.

Q4. Which of the following statements is false about Code offloading using cloudlet? (Choose the most appropriate option) Statement 1: The architecture reduces latency by using multi-hop network. Statement 2: It potentially lowers battery consumption by using short range radio. a. Statement 1 is correct but Statement 2 is incorrect b. Statement 2 is correct but Statement 1 is incorrect c. Both the statements are correct d. Both the statements are incorrect.

Answer: b. Statement 2 is correct but Statement 1 is incorrect

Q5. Which of the following is/are a feature(s) of Mobile Cloud Computing? a) Uses lesser mobile device resources because applications are cloud-supported b) Reduces reliability with information backed up and stored in the cloud c) Mobile devices connect to services delivered through an API architecture d) Facilitates slower development, delivery and management of mobile apps

Q6. Which of the following statement(s) is/are FALSE about Fog Computing? a) Fog nodes present near to the end-user b) Fog computing enables real-time applications c) Fog nodes’ response time is much higher than Cloud’s d) Network routers, WiFi Gateways will not be capable of running applications

Answer: c, d

Q7. Which of the following options is correct about geographic information? Statement 1: Geographic information could be static or dynamic. Statement 2: Geographic information varies in scale. Statement 3 : Population of a city/town is a static geographic information a. Statement 1 & 2 are True, but Statement 3 is False. b. Statement 2 & 3 are True, but Statement 1 is False. c. Statement 1 & 3 are True, but Statement 2 is False. d. All the statements are True.

Answer: a. Statement 1 & 2 are True, but Statement 3 is False.

Q8. Benefits of Fog Computing is/are: a. Immobility b. Low latency and location-aware. c. Homogeneity d. Widespread geographical distribution.

Answer: b, d

Q9. Distance between the client and server in Cloud Computing is of _________ and Fog computing is _______. a) One Hop, Multiple Hop b) One Hop, One Hop c) Multiple Hop, One Hop d) Multiple Hop, Multiple Hop

Answer: c) Multiple Hop, One Hop

Q10. Match the following tables related to Mobile Cloud Computing key components: Table-I Table – II 1. Profiler į. Collects results of split execution and combine, and make the execution details transparent to the user 2. Solver ii. Monitors application execution to collect data about execution time, power consumption, network traffic 3. Synchronizer iii. The task of selecting which parts of an app runs on mobile and cloud a. 1.-> (ii), 2.-> (iii), 3.-> (1) b. 1.-> (iii), 2.-> (1), 3.-> (ii) c. 1.-> (i), 2.-> (ii), 3.-> (iii) d. 1.-> (ii), 2.-> (1), 3.-> (iii)

Answer: a. 1.-> (ii), 2.-> (iii), 3.-> (1)

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Q1. Fog Computing is applicable in a) Smart Grid b) Smart Traffic Light c) Connected Vehicles d) None of the above

Answer: a, b, c

Q2. Fog Computing has ________ probability to attack on data enrouter and required _______ number of server nodes than Cloud Computing. a) lower, less b) lower, large c) higher, less d) higher, large

Answer: b) lower, large

Q3. Consider the following statements: Statement 1: In Geospatial Cloud, it is needed to integrate data from heterogeneous back-end data service. Statement 2: Data services be inside and/or outside of the cloud environment in Geospatial Cloud. a. Statement 1 is Correct, but Statement 2 is Incorrect. b. Statement 2 is Correct, but Statement 1 is Incorrect. c. Both statements are Correct. d. Both statements are Incorrect

Q4. Which of the following is/are the challenge(s) of the Geospatial Cloud? a) Scaling of Spatial Databases b) Policy management among the tenants c) Implementation of Spatial Databases d) None of the above

Q5. Which of the following is/are feature(s) of Mobile Cloud Computing? a) Uses less mobile device resources because applications are cloud-supported b) Reduces reliability with information backed up and stored in the cloud c) Mobile devices connect to services delivered through an API architecture d) Facilitates slower development, delivery and management of mobile apps

Q6. Which of the following statement(s) is/are FALSE about Fog Computing? a) Fog nodes present near to the end-user b) Fog computing enables real-time applications c) Fog nodes’ response time is much higher than Cloud’s d) Network routers, WiFi Gateways will not be capable of running applications

Q7. Choose the most appropriate option regarding CLOUDLET code offloading. Statement 1: The architecture reduces latency by using a multi-hop network. Statement 2: It potentially lowers battery consumption by using Wi-Fi or short range radio. a. Statement | is correct but Statement 2 is incorrect b. Statement 2 is correct but Statement 1 is incorrect c. Both the statements are correct d. Both the statements are incorrect.

Q9. Distance between the client and server in Cloud Computing is of ______ and Fog computing is ______. a) One Hop, Multiple Hop b) One Hop, One Hop c) Multiple Hop, One Hop d) Multiple Hop, Multiple Hop

Q10. Match the following tables related to Mobile Cloud Computing key components:

image 9

a. 1. -> (i), 2. -> (iii), 3. -> (i) b. 1. -> (iii), 2. -> (i), 3. -> (ii) c. 1. -> (i), 2. -> (ii), 3. -> (iii) d. 1. -> (ii), 2. -> (i), 3. -> (iii)

Answer: a. 1. -> (i), 2. -> (iii), 3. -> (i)

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Q1. Which of the following options is corect about geographie information? Statement 1: Geographic information could be static or dynamic. Statement 2: Geographic information varies in scale Statement 3: Population ofa city/town is a static geographic information a. Statement 1 & 2 are True, but Statement 3 is False. b. Statement 2 & 3 are True, but Statement 1 is False. c. Statement 1& 3 are True, but Statement 2 is False. d. All the statements are True.

Q2. Which of the following is true about geographical information system? Choose the most appropriate option. a) Variable load of the GIS server needs dynamie scaling of resources. b) GIS uses network intensive web services c) GIS requires a high level of reliability. d) All of these.

Q3. Which of the following is/are not a benefit of Fog computing ? a. Location awareness b. Improved Qos c. High latency d. Man-in-the-middle-attack

Q4. Which of the following statements is false about Code otfloading using cloudlet? Statement 1: The architecture reduces latency by using multi-hop network. Statement 2: It potentially lowers battery consumption by using short range radio. a. Statement 1 is correct but Statement 2 is incorrect b. Statement 2 is correet but Statement 1 is incorrect c. Both the statements are correct d. Both the statements are incorrect.

Q5. Which of the following are some of the key components of Mobile cloud computing ? Choose the most appropriate option. a. Solver b. Synchromizer c. Profiler d. All of the above

Q6. Which of the following statement(s) is/are FALSE about Fog Computing? a. Intelligence is brought to the cloud from the end users. b. Fog computing is used for real-time applications c. Fog nodes’ response time is much higher than cloud server d. Network routers, WiFi Gateways will not be capable of running applications

Answer:- a, c, d

Q7. Fog computing enablers are a. Virtualization b. Big data c. Service oriented architecture d. None of these

Q8. Which of the following is/are feature(s) of Mobile Cloud Computing? a. Use less mobile device resources because applications are cloud-supported b. Reduce reliability with information backed up and stored in the cloud c. Mobile devices connect to services delivered through an API architecture d. Facilitates slower development, delivery and management of mobile apps

Q9. Which of the following is/are the challenge(s) of Geospatial Cloud? a) Scaling of Spatial Databases b) Policy management among the tenants c) Implementation of Spatial Databases d) None of the above

Q10. Consider following statements: Statement 1: Geospatial Cloud helps to integrate data from heterogeneous back-end data service. Statement 2: Data services can be inside and/or outside of the cloud environment in Geospatial Cloud. a. Statement 1 is Correct, but Statement 2 is Incorect. b. Statement 2 is Correct, but Statement 1 is Incorect. c. Both statements are Correct. d. Both statements are Incorrect.

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