1
Important Questions and Answers
CP25C06-Cloud and Big Data Analytics
Syllabus
1. Cloud Computing: Introduction to Cloud Computing - Service Models: IaaS, PaaS, SaaS -
Deployment Models: Public, Private, Hybrid, Community - Virtualization: Hypervisors, VM
provisioning - Cloud providers: AWS, Azure, Google Cloud overview.
Activities: Create a free-tier AWS account and explore EC2, S3.
2. Big Data Ecosystem & Hadoop: Big Data characteristics (Volume, Velocity, Variety,
Veracity, Value) - Challenges in Big Data - Hadoop Architecture and HDFS - MapReduce
Programming Model –YARN.
Activities: Watch Hadoop tutorial and submit a summary report.
3. Data Storage & Processing Techniques: NoSQL Databases: MongoDB, Cassandra, HBase
- Data Ingestion: Sqoop, Flume - Hive, Pig – Architecture and Querying - Data Cleaning and
Preparation.
Activities: HiveQL assignments on datasets from Kaggle.
4. Advanced Big Data Analytics: Introduction to Apache Spark - Spark vs. MapReduce -
Spark SQL, Data Frames, RDDs- Machine Learning using Spark MLlib - Real-time
processing: Kafka and Spark Streaming.
Activities: Mini-project using PySpark on COVID or Traffic dataset.
5. Cloud Integration and Security: Data on Cloud – Storage and Compute Services - Data
Security and Privacy in Cloud - Cloud-based Data Analytics Use Cases - Cloud-Native vs
Traditional Applications - Case Study: Smart Cities / Healthcare Analytics.
Activities: Create a cloud deployment report using Azure/AWS.
S.No. Description
V.
Unit-I
U
m
Cloud Computing
ap
Basic Concepts
at
S.No. Concept Definition / Key Points
hy
,
Delivery of computing resources such as servers, storage, databases, and
Pr
1 Cloud Computing
software over the Internet on demand.
of
./
EC
N
ot
es
, 2
Essential On-demand self-service, broad network access, resource pooling, rapid
2
Characteristics elasticity, and measured service.
IaaS (Infrastructure as
Provides virtual machines, networks, and storage. The user manages the
3
a Service) OS and applications. Example: AWS EC2.
PaaS (Platform as a Provides a platform to develop, test, and deploy applications without
4
Service) managing the underlying infrastructure. Example: Google App Engine.
SaaS (Software as a Ready-to-use software accessed through a browser or app. Example:
5
Service) Microsoft 365.
Services are provided over the Internet using shared infrastructure.
6 Public Cloud
Example: AWS.
Cloud infrastructure dedicated to a single organization, offering greater
7 Private Cloud
control and customization.
Combines public and private clouds to balance flexibility, security, and
8 Hybrid Cloud
cost.
Infrastructure shared by organizations with common security or
9 Community Cloud
operational requirements.
Creates virtual versions of computing resources, enabling multiple
10 Virtualization
virtual machines (VMs) to run on one physical server.
Software that creates and manages VMs. Type 1 runs directly on
11 Hypervisor
hardware; Type 2 runs on a host operating system.
Process of creating, configuring, allocating resources to, and deploying
12 VM Provisioning
a virtual machine.
Amazon Web Services; offers EC2, S3, RDS, and many other cloud
13 AWS
services.
Provides virtual machines, storage, databases, networking, and
14 Microsoft Azure
application-hosting services.
15 Google Cloud Provides computing, storage, databases, analytics, and AI/ML services.
Important equations (copy to Word)
1. Total Cloud Cost
Total Cost = Compute Cost + Storage Cost + Network Cost
V.
U
m
2. Resource Utilization
ap
at
Resource Utilization (%) = (Used Resources / Total Available Resources) × 100
hy
,Pr
of
./
EC
N
ot
es
, 3
3. Virtual Machine Density
VM Density = Number of Virtual Machines / Number of Physical Servers
4. Availability
Availability (%) = (Uptime / Total Time) × 100
5. Elasticity
Elasticity = Ability to increase or decrease resources according to workload demand
Exam tip: Remember the three service models (IaaS, PaaS, SaaS), four deployment models, two
hypervisor types, and the major services offered by AWS, Azure, and Google Cloud. These are key
basic concepts for short-answer questions.
Multiple Choice QA
1. Which cloud service model provides virtual machines, storage, and networking resources?
A) SaaS
B) PaaS
C) IaaS
D) Community Cloud
Answer: C) IaaS
Reason: Infrastructure as a Service (IaaS) provides virtualized computing resources such as virtual
machines, storage, and networks. Example: Amazon EC2.
2. Which cloud service model provides a platform for developing, testing, and deploying
V.
applications?
U
m
ap
A) IaaS
at
hy
B) PaaS
,Pr
of
./
EC
N
ot
es
, 4
C) SaaS
D) Private Cloud
Answer: B) PaaS
Reason: Platform as a Service (PaaS) provides development tools, runtime environments, and
application platforms without requiring users to manage the underlying infrastructure. Example:
Google App Engine.
3. Which deployment model combines public and private cloud environments?
A) Public Cloud
B) Private Cloud
C) Community Cloud
D) Hybrid Cloud
Answer: D) Hybrid Cloud
Reason: A hybrid cloud combines public and private cloud environments, allowing organizations to
keep sensitive data private while using public cloud resources when required.
4. What is the primary function of a hypervisor in cloud computing?
A) To develop websites
B) To manage virtual machines
C) To encrypt emails
D) To design databases
V.
U
Answer: B) To manage virtual machines
m
ap
Reason: A hypervisor creates and manages virtual machines by allocating physical hardware
at
hy
resources such as CPU, memory, and storage. Examples include VMware ESXi and Microsoft Hyper-
,
V.
Pr
of
./
EC
N
ot
es
Important Questions and Answers
CP25C06-Cloud and Big Data Analytics
Syllabus
1. Cloud Computing: Introduction to Cloud Computing - Service Models: IaaS, PaaS, SaaS -
Deployment Models: Public, Private, Hybrid, Community - Virtualization: Hypervisors, VM
provisioning - Cloud providers: AWS, Azure, Google Cloud overview.
Activities: Create a free-tier AWS account and explore EC2, S3.
2. Big Data Ecosystem & Hadoop: Big Data characteristics (Volume, Velocity, Variety,
Veracity, Value) - Challenges in Big Data - Hadoop Architecture and HDFS - MapReduce
Programming Model –YARN.
Activities: Watch Hadoop tutorial and submit a summary report.
3. Data Storage & Processing Techniques: NoSQL Databases: MongoDB, Cassandra, HBase
- Data Ingestion: Sqoop, Flume - Hive, Pig – Architecture and Querying - Data Cleaning and
Preparation.
Activities: HiveQL assignments on datasets from Kaggle.
4. Advanced Big Data Analytics: Introduction to Apache Spark - Spark vs. MapReduce -
Spark SQL, Data Frames, RDDs- Machine Learning using Spark MLlib - Real-time
processing: Kafka and Spark Streaming.
Activities: Mini-project using PySpark on COVID or Traffic dataset.
5. Cloud Integration and Security: Data on Cloud – Storage and Compute Services - Data
Security and Privacy in Cloud - Cloud-based Data Analytics Use Cases - Cloud-Native vs
Traditional Applications - Case Study: Smart Cities / Healthcare Analytics.
Activities: Create a cloud deployment report using Azure/AWS.
S.No. Description
V.
Unit-I
U
m
Cloud Computing
ap
Basic Concepts
at
S.No. Concept Definition / Key Points
hy
,
Delivery of computing resources such as servers, storage, databases, and
Pr
1 Cloud Computing
software over the Internet on demand.
of
./
EC
N
ot
es
, 2
Essential On-demand self-service, broad network access, resource pooling, rapid
2
Characteristics elasticity, and measured service.
IaaS (Infrastructure as
Provides virtual machines, networks, and storage. The user manages the
3
a Service) OS and applications. Example: AWS EC2.
PaaS (Platform as a Provides a platform to develop, test, and deploy applications without
4
Service) managing the underlying infrastructure. Example: Google App Engine.
SaaS (Software as a Ready-to-use software accessed through a browser or app. Example:
5
Service) Microsoft 365.
Services are provided over the Internet using shared infrastructure.
6 Public Cloud
Example: AWS.
Cloud infrastructure dedicated to a single organization, offering greater
7 Private Cloud
control and customization.
Combines public and private clouds to balance flexibility, security, and
8 Hybrid Cloud
cost.
Infrastructure shared by organizations with common security or
9 Community Cloud
operational requirements.
Creates virtual versions of computing resources, enabling multiple
10 Virtualization
virtual machines (VMs) to run on one physical server.
Software that creates and manages VMs. Type 1 runs directly on
11 Hypervisor
hardware; Type 2 runs on a host operating system.
Process of creating, configuring, allocating resources to, and deploying
12 VM Provisioning
a virtual machine.
Amazon Web Services; offers EC2, S3, RDS, and many other cloud
13 AWS
services.
Provides virtual machines, storage, databases, networking, and
14 Microsoft Azure
application-hosting services.
15 Google Cloud Provides computing, storage, databases, analytics, and AI/ML services.
Important equations (copy to Word)
1. Total Cloud Cost
Total Cost = Compute Cost + Storage Cost + Network Cost
V.
U
m
2. Resource Utilization
ap
at
Resource Utilization (%) = (Used Resources / Total Available Resources) × 100
hy
,Pr
of
./
EC
N
ot
es
, 3
3. Virtual Machine Density
VM Density = Number of Virtual Machines / Number of Physical Servers
4. Availability
Availability (%) = (Uptime / Total Time) × 100
5. Elasticity
Elasticity = Ability to increase or decrease resources according to workload demand
Exam tip: Remember the three service models (IaaS, PaaS, SaaS), four deployment models, two
hypervisor types, and the major services offered by AWS, Azure, and Google Cloud. These are key
basic concepts for short-answer questions.
Multiple Choice QA
1. Which cloud service model provides virtual machines, storage, and networking resources?
A) SaaS
B) PaaS
C) IaaS
D) Community Cloud
Answer: C) IaaS
Reason: Infrastructure as a Service (IaaS) provides virtualized computing resources such as virtual
machines, storage, and networks. Example: Amazon EC2.
2. Which cloud service model provides a platform for developing, testing, and deploying
V.
applications?
U
m
ap
A) IaaS
at
hy
B) PaaS
,Pr
of
./
EC
N
ot
es
, 4
C) SaaS
D) Private Cloud
Answer: B) PaaS
Reason: Platform as a Service (PaaS) provides development tools, runtime environments, and
application platforms without requiring users to manage the underlying infrastructure. Example:
Google App Engine.
3. Which deployment model combines public and private cloud environments?
A) Public Cloud
B) Private Cloud
C) Community Cloud
D) Hybrid Cloud
Answer: D) Hybrid Cloud
Reason: A hybrid cloud combines public and private cloud environments, allowing organizations to
keep sensitive data private while using public cloud resources when required.
4. What is the primary function of a hypervisor in cloud computing?
A) To develop websites
B) To manage virtual machines
C) To encrypt emails
D) To design databases
V.
U
Answer: B) To manage virtual machines
m
ap
Reason: A hypervisor creates and manages virtual machines by allocating physical hardware
at
hy
resources such as CPU, memory, and storage. Examples include VMware ESXi and Microsoft Hyper-
,
V.
Pr
of
./
EC
N
ot
es
