Cloud Computing for Data Science: Master AWS, Azure, and GCP for Data Analysis

Question 1

Which of the following is NOT a primary benefit of using cloud computing for data science?

Accepted Answer

Eliminated security risks

Answer

Reduced infrastructure costs

Answer

Access to high-performance computing resources

Answer

On-demand scalability

Question 2

Which cloud platform provides a fully managed, serverless machine learning service with options for GPU-optimized instances?

Accepted Answer

Amazon SageMaker

Answer

Azure Databricks

Answer

IBM Watson Studio

Answer

Google Cloud AI Platform

Question 3

What is the fundamental distinction between object storage and file storage in cloud computing?

Accepted Answer

Object storage stores data as unstructured objects, while file storage organizes data in a hierarchical file system.

Answer

Object storage is more secure than file storage.

Answer

File storage is more cost-effective than object storage.

Question 4

When selecting a cloud provider for data science, which of the following factors is most critical?

Accepted Answer

Availability of specialized data science tools and services

Answer

Brand reputation

Answer

Solely considering cost

Question 5

What is the primary purpose of a data lake in cloud computing for data science?

Accepted Answer

To store both raw and processed data in a centralized, scalable, and cost-effective repository

Answer

To train and deploy machine learning models

Answer

To perform complex data analysis and visualizations

Question 6

What is the key benefit of resource orchestration in cloud computing for data science?

Accepted Answer

It automates the provisioning and management of computing resources based on demand, optimizing resource utilization and cost

Answer

It eliminates the need for skilled IT administrators

Answer

It ensures that all resources are perpetually available, regardless of demand

Question 7

What is the primary advantage of utilizing a managed cloud service for data science?

Accepted Answer

Reduced operational overhead and maintenance costs, allowing data scientists to focus on core tasks

Answer

Eliminated concerns about data security and compliance

Answer

Guaranteed access to the most up-to-date technologies

Question 8

Which of the following is a recommended best practice for ensuring data security in cloud computing for data science?

Accepted Answer

Implementing robust access control policies, data encryption, and regular security audits

Answer

Solely relying on the security measures provided by the cloud provider

Answer

Avoiding storing sensitive data in the cloud

Question 9

Which of the following is NOT a cloud computing service model?

Accepted Answer

Grid Computing

Answer

Platform as a Service (PaaS)

Answer

Software as a Service (SaaS)

Answer

Infrastructure as a Service (IaaS)

Question 10

Which Amazon EC2 instance type is specifically designed for handling data-intensive workloads, offering high performance and large memory?

Accepted Answer

P3dn.24xlarge

Answer

M4.large

Answer

T2.micro

Answer

C5.2xlarge

Question 11

Which Azure Virtual Machine size is recommended for deploying a machine learning model, providing a balance of compute power, memory, and cost?

Accepted Answer

Standard_DS3_v2

Answer

Standard_F2s

Answer

Basic_A2

Answer

Standard_B2s

Question 12

Which of the following Google Cloud Platform (GCP) services is a comprehensive, scalable, and cost-effective solution for storing large amounts of data?

Accepted Answer

Google Cloud Storage

Answer

Azure Blob Storage

Answer

Amazon S3

Question 13

Which of the following Amazon Web Services (AWS) is specifically designed for managing and orchestrating complex data pipelines, allowing for the automated movement and transformation of data?

Accepted Answer

AWS Data Pipeline

Answer

Azure Data Factory

Answer

IBM Watson Studio

Answer

GCP Dataflow

Question 14

Which of the following is a cloud-based platform that provides an interactive environment for data exploration, visualization, and model development, popular among data scientists?

Accepted Answer

Jupyter Notebook

Answer

PyCharm

Answer

Visual Studio Code

Question 15

Which cloud platform is known for its extensive machine learning capabilities and pre-built models?

Accepted Answer

AWS SageMaker

Answer

Azure Machine Learning

Answer

IBM Watson Studio

Answer

GCP Vertex AI

Question 16

What is the primary purpose of using Amazon S3 for data storage in cloud computing?

Accepted Answer

Cost-effective object storage and retrieval

Answer

Relational database management

Answer

Distributed file system

Answer

In-memory caching

Question 17

What is the role of Apache Spark in cloud computing for data science?

Accepted Answer

Distributed data processing framework for big data

Answer

Machine learning library for model training

Answer

Data visualization tool for interactive dashboards

Answer

Cloud deployment platform for applications

Question 18

What is the significance of using containers in cloud computing for data science?

Accepted Answer

Packaging and deployment of applications in isolated environments

Answer

Network security and isolation of resources

Answer

Data storage and management for large datasets

Answer

Scalability and fault tolerance for high availability

Question 19

Which of the following cloud pricing models is based on usage and billed per hour?

Accepted Answer

On-demand pricing

Answer

Prepaid pricing (upfront payment for a set amount)

Answer

Spot pricing (bidding for unused capacity)

Answer

Reserved pricing (long-term commitment discounts)

Question 20

What is a key consideration for choosing a cloud platform for data science projects?

Accepted Answer

Availability, reliability, and performance of services

Answer

Popularity among competitors in the industry

Answer

Brand reputation and market share

Answer

Cost of services as the primary factor

Question 21

Which of the following is a best practice for data security in cloud computing environments?

Accepted Answer

Encryption of data at rest and in transit

Answer

Storing all data in a single location for simplicity

Answer

Disabling antivirus software for better performance

Answer

Allowing public access to data for collaboration

Question 22

Which cloud provider offers a fully managed serverless computing platform called Lambda?

Accepted Answer

AWS

Answer

Azure

Answer

IBM Cloud

Answer

Oracle Cloud

Question 23

Which of the following is a fundamental principle of cloud computing?

Accepted Answer

Virtualization

Answer

Disaster recovery

Answer

Data encryption

Answer

Authentication

Question 24

Which GCP service provides a fully managed Apache Spark environment for data processing and analytics?

Accepted Answer

Cloud Dataproc

Answer

Cloud Functions

Answer

Cloud Storage

Answer

BigQuery

Question 25

Which cloud computing service model provides users with the highest level of control over infrastructure and resources?

Accepted Answer

Infrastructure as a Service (IaaS)

Answer

Platform as a Service (PaaS)

Answer

Software as a Service (SaaS)

Question 26

Which AWS service is specifically tailored for building, training, and deploying machine learning models?

Accepted Answer

SageMaker

Answer

EC2

Answer

S3

Answer

Lambda

Question 27

Which Azure service is primarily used for managing and querying structured data, such as relational databases?

Accepted Answer

Azure Cosmos DB

Answer

Azure Data Factory

Answer

Azure Storage

Answer

Azure Machine Learning

Question 28

Which of the following is not a primary cloud service model?

Accepted Answer

On-premises computing

Answer

Software as a Service (SaaS)

Answer

Platform as a Service (PaaS)

Answer

Infrastructure as a Service (IaaS)

Question 29

Which of the following is a key characteristic of cloud-based data analytics platforms?

Accepted Answer

Elastic scalability

Answer

Limited data visualization capabilities

Answer

Limited data types

Answer

Lack of integration with open-source tools

Question 30

Which machine learning engine is exclusive to the Google Cloud Platform?

Accepted Answer

TensorFlow

Answer

XGBoost

Answer

PyTorch

Answer

Scikit-learn

Question 31

What is the role of Jupyter Notebooks in cloud computing for data science?

Accepted Answer

Interactive development and collaboration environment

Answer

Cloud infrastructure provisioning

Answer

Model deployment and serving

Answer

Data storage and management

Question 32

Which of the following is a core component of the AWS cloud computing architecture specifically for compute resources?

Accepted Answer

Amazon Elastic Compute Cloud (EC2)

Answer

IBM Watson Studio

Answer

Azure Virtual Machines

Answer

Google Cloud Compute Engine

Question 33

What is the primary purpose of leveraging a data warehouse in the context of cloud computing for data science?

Accepted Answer

To store and manage large volumes of structured data for analysis and reporting

Answer

To build and train machine learning models

Answer

To perform real-time data processing

Question 34

Which of the following is considered a best practice for deploying data science applications in the cloud?

Accepted Answer

Employing containers to package and distribute applications for efficient and portable deployment

Answer

Storing application data locally on each individual instance

Answer

Avoiding the use of load balancers for traffic distribution

Question 35

What is the key distinction between a serverless architecture and a traditional server-based architecture?

Accepted Answer

Serverless architectures eliminate the need for managing and provisioning servers, allowing for a more agile and scalable approach

Answer

Serverless architectures always offer superior performance compared to traditional architectures

Answer

Serverless architectures are only suitable for small-scale or non-critical applications

Question 36

Which of the following cloud services is designed for cost-effective and durable storage of large amounts of data in the cloud?

Accepted Answer

Amazon Simple Storage Service (S3)

Answer

IBM Cloudant

Answer

Google Cloud BigQuery

Answer

Amazon Relational Database Service (RDS)

Question 37

What is the primary purpose of utilizing a cloud-based data lake?

Accepted Answer

To store and process vast quantities of unstructured data in its native format, enabling comprehensive analysis and insights

Answer

To perform complex statistical analysis on structured data

Answer

To provide real-time data updates for operational systems

Question 38

What is the primary role of a data scientist in the context of cloud computing?

Accepted Answer

To design, develop, and deploy data science solutions by leveraging cloud technologies and services

Answer

To manage and maintain the underlying cloud infrastructure

Answer

To provide technical support to users of cloud-based data science tools and platforms

Question 39

Which cloud platform is specifically designed and optimized for data science and machine learning tasks?

Accepted Answer

Amazon SageMaker: A fully managed service offering tools for building, training, and deploying machine learning models.

Answer

Azure Cosmos DB: A globally distributed database service ideal for high-volume, low-latency data storage, but not specifically tailored for machine learning.

Answer

Amazon Simple Storage Service (S3): A cost-effective object storage service for data storage, but not directly designed for machine learning.

Answer

Elastic Compute Cloud (EC2): A virtual machine service offering flexibility in computing resources, but requires configuration for data science workloads.

Question 40

Which of the following storage types is commonly used in cloud computing for storing large datasets in data science projects?

Accepted Answer

Object Storage:  A storage method ideal for unstructured data, such as images, videos, and logs, offering scalability and cost-efficiency.

Answer

NoSQL Database:  Designed for unstructured data, offering high scalability and availability, often used in data science for real-time data analysis.

Answer

Relational Database:  Structured data storage with defined relationships between data elements, suitable for structured data analysis but may not be ideal for massive datasets.

Answer

Block Storage:  Typically used for storing operating systems and application data, offering low latency but may not be suitable for large datasets.

Question 41

What is a key benefit of using Apache Spark on a cloud platform for data science tasks?

Accepted Answer

Distributed Processing:  Spark's ability to distribute computations across multiple nodes, enabling faster processing of large datasets.

Answer

Enhanced Data Visualization:  Spark focuses on data processing and analysis, not primarily on data visualization.

Answer

Reduced Data Latency:  Spark can contribute to faster data processing, but latency can also be affected by network and other factors.

Question 42

What is a significant trend emerging in cloud computing for data science?

Accepted Answer

Hybrid Cloud Deployments:  Combining public cloud services with on-premises infrastructure to leverage the strengths of both.

Answer

Focus on Data Governance and Compliance:  Data governance is important, but not the defining emerging trend in cloud computing for data science.

Answer

Increased Use of AI and ML:  AI and ML are powerful tools, but not the sole emerging trend in cloud computing for data science.

Answer

Declining Cost of Cloud Services:  Cloud costs are evolving, but not necessarily the primary driving trend in cloud computing for data science.

Question 43

Which of the following is NOT a major public cloud provider for data science?

Accepted Answer

Oracle Cloud

Answer

Amazon Web Services (AWS)

Answer

Google Cloud Platform (GCP)

Answer

Microsoft Azure

Question 44

Which of the following AWS services is designed for storing and querying large amounts of structured data?

Accepted Answer

Amazon Redshift

Answer

Amazon DynamoDB

Answer

Amazon EC2

Answer

Amazon S3

Question 45

Which of the following Azure services provides serverless computing capabilities for data science applications?

Accepted Answer

Azure Functions

Answer

Azure Kubernetes Service

Answer

Azure Cosmos DB

Answer

Azure Virtual Machines

Question 46

Which of the following GCP services is used for training and deploying machine learning models?

Accepted Answer

Google Cloud AI Platform

Answer

Google Cloud BigQuery

Answer

Google Compute Engine

Answer

Google Cloud Storage

Question 47

What is the main advantage of using cloud computing for data science?

Accepted Answer

Scalability and cost-effectiveness

Answer

Improved data quality

Answer

Enhanced security

Answer

Reduced data loss risk

Question 48

Which of the following is NOT a best practice for building data science applications in the cloud?

Accepted Answer

Using multiple cloud providers without clear justification

Answer

Adopting a DevOps approach for continuous integration and deployment

Answer

Utilizing serverless architecture for appropriate tasks

Answer

Leveraging cloud-native tools and services

Question 49

What is the role of Apache Spark in cloud-based data science?

Accepted Answer

Distributed data processing and analytics engine

Answer

Machine learning framework

Answer

Serverless computing platform

Answer

Cloud storage service

Question 50

What is the main purpose of using cloud data lakes?

Accepted Answer

Storing and managing vast amounts of raw and unstructured data

Answer

Maintaining data quality

Answer

Deploying machine learning models

Answer

Providing real-time data analytics