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3 Hours / 70 Marks: Seat No

The document outlines an examination paper consisting of multiple sections with questions related to cloud computing, machine learning, and data pipelines. It includes instructions for the exam, such as the prohibition of electronic devices and the requirement for sketches where necessary. The questions cover definitions, advantages, models, architectures, and comparisons within the field of cloud computing and machine learning.

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Aariz
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162 views2 pages

3 Hours / 70 Marks: Seat No

The document outlines an examination paper consisting of multiple sections with questions related to cloud computing, machine learning, and data pipelines. It includes instructions for the exam, such as the prohibition of electronic devices and the requirement for sketches where necessary. The questions cover definitions, advantages, models, architectures, and comparisons within the field of cloud computing and machine learning.

Uploaded by

Aariz
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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22594
3 Hours / 70 Marks Seat No.

Instructions : (1) All Questions are compulsory.


(2) Illustrate your answers with neat sketches wherever necessary.
(3) Figures to the right indicate full marks.
(4) Assume suitable data, if necessary.
(5) Mobile Phone, Pager and any other Electronic Communication
devices are not permissible in Examination Hall.

Marks
1. Attempt any FIVE of the following : 10
(a) Define :
(i) Cloud computing
(ii) Hardware virtualization
(b) List any two features of Infrastructure as a Service (IaaS).
(c) State what is cloud data warehouse.
(d) Define data collection and data ingestion in data pipelines.
(e) List any two advantages of Elastic Resources.
(f) List any two features of Azure ML studio.
(g) Define key-value databases.

2. Attempt any THREE of the following : 12


(a) State advantages of cloud computing in ML.
(b) Describe private cloud deployment model with suitable example.

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(c) Compare different cloud storage types.
(d) Describe different challenges and risks in cloud computing.

3. Attempt any THREE of the following : 12


(a) State any 4 characteristics of a cloud computing.
(b) Explain SLA and SLO in detail.
(c) Describe any 4 benefits of using data pipeline.
(d) Explain Platform as a Service (PaaS) in detail.

4. Attempt any THREE of the following : 12


(a) Explain evolution of cloud computing from Mainframe to cloud computing.
(b) Describe cloud computing architecture with diagram.
(c) Explain data delivery in cloud computing.
(d) Explain container registries.

5. Attempt any TWO of the following : 12


(a) Explain Batch data and Streaming data in machine learning with example.
(b) What is Kubernetes in the cloud and explain Kubernetes verses Docker ?
(c) Explain AWS SageMaker and state features of AWS SageMaker.

6. Attempt any TWO of the following : 12


(a) Describe Architecture of Moder Data pipelines.
(b) Explain different states of Docker container. State features of Docker.
(c) Describe ML Systems available in market. State any four benefits of ML
platform.
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