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WorksheetsCloud Computing Quiz II
Total questions: 60
Worksheet time: 30mins
Cloud Security primarily focuses on protecting:
Only hardware resources
Data, applications, and infrastructure
Only software services
Only networks
CSA stands for:
Cloud Security Administration
Cloud Standards Agency
Cloud Security Alliance
Cyber Security Association
Which mechanism verifies the identity of a user in cloud systems?
Authorization
Auditing
Authentication
Key rotation
Authorization in cloud security controls:
Who a user is
What resources a user can access
Data encryption strength
Billing systems
Identity Access Management (IAM) mainly ensures:
Video compression
Secure and controlled user access
Software updates
Load balancing
Key Management deals with:
File naming
Encryption and decryption keys
Software licensing
VM scheduling
Auditing in cloud computing helps in:
Tracking user activities
Data compression
Software licensing
Network routing
Cloud computing in healthcare enables:
Limited data access
Centralized medical record access
Remove patient history
Offline data only
Which industry uses cloud for smart grid monitoring?
Education
Energy systems
Manufacturing
Transportation
Cloud benefits transportation systems through:
Traffic monitoring
Increasing vehicle weight
Fuel waste
None
Cloud computing in education supports:
Only offline teaching
E-learning & virtual labs
Data deletion
None
Which step involves evaluating current IT assets?
Deployment
Assessment
Termination
Encryption
The seven-step migration model is related to:
(a)
Organizational readiness checks:
Holidays
Cloud adoption capability
Hardware warranty
Office layout
Main driver for cloud change:
No network
Digital transformation
Reduced workforce
None
Jurisdictional issues arise due to:
Programming language
Data located across countries
UI design
None
Cloud contracting models define:
Data encoding
Terms between provider & user
Security key size
None
Data privacy means:
Public access allowed
Protection of sensitive information
Removing encryption
None
Virtualization legal issue:
Increases server size
Unclear data ownership
Business considerations in cloud include:
ROI and scalability
Gaming support
CPU speed
Cable setup
Big Data Analytics focuses on handling data that is:
Small and structured
Large, complex and varied in format
Only text-based
Only relational database data
Which of the following is a popular clustering method for Big Data?
K-Means
Naive Bayes
Logistic Regression
PCA
Classification in Big Data Analytics is primarily used to:
Group similar data points
Predict categorical outcomes
Compress multimedia files
Convert video streams
Recommendation Systems generally use which approach?
Collaborative Filtering
DNS Routing
FPGA Processing
Protocol Switching
A key challenge in clustering Big Data is:
Too little data
High computation and memory requirements
No need for models
Multimedia Cloud primarily deals with:
Storing only text documents
Managing and delivering media content over cloud
Printing cloud-based files
Hosting email services
Which is widely used for live video streaming in multimedia cloud platforms?
SMTP
RTMP
POP3
FTP
Video Transcoding refers to:
Changing video colors
Converting video formats or bitrates
Editing audio tracks
Compressing user credentials
In a Live Streaming App, latency refers to:
File size
Delay between capture and playback
Resolution quality
Buffer storage size
A common streaming protocol supported by browsers is:
HTTP Live Streaming (HLS)
SSH
IMAP
ICMP
Benchmarking in cloud applications helps to:
Increase storage capacity
Evaluate system performance
Remove unnecessary users
Modify cloud pricing
Workload characteristics in cloud benchmarking define:
Input data complexity and usage patterns
Employee roles
Network password settings
Cloud ownership models
Which of the following is an application performance metric?
Color depth
Response time
Username count
Display brightness
Benchmarking methodology design considerations should ensure:
Random execution
Repeatability and consistency
Results vary every run
Testing is done only once
Which tool is commonly used for load testing?
JVM
Apache JMeter
SQL Plus
Paint
Deployment prototyping involves:
Running a full production-scale system directly
Creating and testing simplified deployment environments
Shutting down applications
Only analyzing logs
Bottleneck detection aims to find:
Users with slow network
Performance-limiting components
The cheapest cloud provider
Backup locations
In cloud benchmarking, load testing is used to measure:
User interface colors
Performance under stress conditions
Video playback clarity
Password encryption level
The Hadoop Benchmarking case study focuses on evaluating:
Text editors
Big data processing clusters
Image compression rates
Website loading speeds
A common tool used in Hadoop benchmarking is:
TPC-DS
MS Word
VLC Player
Notepad
Python is widely used in cloud computing mainly because of its:
Low-level memory access
Simplicity and large library support
Lack of portability
Hardware-specific integration
Which Python SDK is used to access Amazon Web Services (AWS)?
boto3
firebase
azurelm
gcloud
The Python SDK used for Google Cloud Platform is:
boto3
google-cloud
azure-storage
cloudify
Azure SDK for building cloud applications in Python is:
azure-storage
boto3
google-cloud-storage
aws-sdk
Python MapReduce operations are commonly implemented using:
NumPy
PySpark
OpenCV
Jupyter Notebooks
Which framework is commonly used in Python to create RESTful APIs?
Flask
Django ORM
NumPy
Jinja
Django is primarily used for:
Image processing
Web application development
Cloud hardware design
System-level programming
A REST API communicates using:
FTP
HTTP/HTTPS
SMTP
SSH
AWS Lambda allows running Python code:
On local machines only
Without managing servers
Only inside EC2
Without an internet connection
Which Python library is used for image processing applications in the cloud?
(a)
Document storage apps in Python often integrate with:
MySQL
MongoDB
Binary XML DB
Relational Grid DB
In social media analytics apps, Python is commonly used for:
Video streaming
Text and sentiment analysis
Game development
File compression only
A key benefit of RESTful APIs is:
Complex to integrate
Platform independence
Only runs on Windows
Requires high memory
MapReduce primarily helps in:
Real-time rendering
Processing large-scale datasets
Data encryption
Memory optimization
Python package 'requests' is used to:
Manage databases
Send HTTP requests
Build GUI applications
Encrypt data
Flask is called a micro-framework because it:
Is very small in file size
Does not enforce project structure
The main advantage of using cloud platforms with Python is:
High execution complexity
Less community support
Seamless API integration
No SDK availability
Which cloud platform provides the App Engine service used with Python?
AWS
Microsoft Azure
Google Cloud Platform
Oracle Cloud
Social Media Analytics in Python commonly uses:
scikit-learn
pygame
tkinter
matplotlib only
Python-based document storage solutions typically use:
Azure Blob Storage
AWS S3
Google Cloud Storage
All of the above
