AWS Certified Cloud Practitioner 2025 Practice Test

CLF-C02 test Format | Course Contents | Course Outline | test Syllabus | test Objectives

Exam Code: CLF-C02
Duration: 90 minutes
Number of Questions: 65 (multiple-choice & multiple-response)
Passing Score: ~700/1000 (scaled scoring)
Languages Available: English, Japanese, Korean, and Simplified Chinese

Domain 1: Cloud Concepts (24% of scored content)
Domain 2: Security and Compliance (30% of scored content)
Domain 3: Cloud Technology and Services (34% of scored content)
Domain 4: Billing, Pricing, and Support (12% of scored content)


- Understanding the benefits of the AWS Cloud Adoption Framework (AWS CAF) (for example, reduced business risk; improved environmental, social, and governance (ESG) performance; increased revenue; increased operational efficiency)
- Identifying appropriate migration strategies (for example, database replication, use of AWS Snowball)
- Understanding the role of fixed costs compared with variable costs
- Understanding costs that are associated with on-premises environments
- Understanding the differences between licensing strategies (for example, Bring Your Own License [BYOL] model compared with included licenses)

- Understanding the concept of rightsizing
- Identifying benefits of automation (for example, provisioning and configuration management with AWS CloudFormation)
- Identifying managed AWS services (for example, Amazon RDS, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS], Amazon DynamoDB)

- Recognizing the components of the AWS shared responsibility model
- Describing the customer’s responsibilities on AWS
- Describing AWS responsibilities
- Describing responsibilities that the customer and AWS share
- Describing how AWS responsibilities and customer responsibilities can shift, depending on the service used (for example, Amazon RDS, AWS Lambda, Amazon EC2)

- Identifying where to find AWS compliance information (for example, AWS Artifact)
- Understanding compliance needs among geographic locations or industries (for example, AWS Compliance)
- Describing how customers secure resources on AWS (for example, Amazon Inspector, AWS Security Hub, Amazon GuardDuty, AWS Shield)
- Identifying different encryption options (for example, encryption in transit, encryption at rest)
- Recognizing services that aid in governance and compliance (for example, monitoring with Amazon CloudWatch; auditing with AWS CloudTrail, AWS Audit Manager, and AWS Config; reporting with access reports)
- Recognizing compliance requirements that vary among AWS services

- Identity and access management (for example, AWS Identity and Access Management [IAM])
- Importance of protecting the AWS root user account
- Principle of least privilege
- AWS IAM Identity Center (AWS Single Sign-On)
- Understanding access keys, password policies, and credential storage (for example, AWS Secrets Manager, AWS Systems Manager)
- Identifying authentication methods in AWS (for example, multi-factor authentication [MFA], IAM Identity Center, cross-account IAM roles)
- Defining groups, users, custom policies, and managed policies in compliance with the principle of least privilege
- Identifying tasks that only the account root user can perform
- Understanding which methods can achieve root user protection
- Understanding the types of identity management (for example, federated)

- Describing AWS security features and services (for example, security groups, network ACLs, AWS WAF)
- Understanding that third-party security products are available from AWS Marketplace
- Identifying where AWS security information is available (for example, AWS Knowledge Center, AWS Security Center, AWS Security Blog)
- Understanding the use of AWS services for identifying security issues (for example, AWS Trusted Advisor)

- Deciding between options such as programmatic access (for example, APIs, SDKs, CLI), the AWS Management Console, and infrastructure as code (IaC)
- Evaluating requirements to determine whether to use one-time operations or repeatable processes
- Identifying different deployment models (for example, cloud, hybrid, on-premises)
- Identifying connectivity options (for example, AWS VPN, AWS Direct Connect, public internet)

- Describing relationships among Regions, Availability Zones, and edge locations
- Describing how to achieve high availability by using multiple Availability Zones
- Recognizing that Availability Zones do not share single points of failure
- Describing when to use multiple Regions (for example, disaster recovery, business continuity, low latency for end users, data sovereignty)
- Describing at a high level the benefits of edge locations (for example, Amazon CloudFront, AWS Global Accelerator)

- Recognizing the appropriate use of different EC2 instance types (for example, compute optimized, storage optimized)
- Recognizing the appropriate use of different container options (for example, Amazon ECS, Amazon EKS)
- Recognizing the appropriate use of different serverless compute options (for example, AWS Fargate, Lambda)
- Recognizing that auto scaling provides elasticity
- Identifying the purposes of load balancers

- Deciding when to use EC2 hosted databases or AWS managed databases
- Identifying relational databases (for example, Amazon RDS, Amazon Aurora)
- Identifying NoSQL databases (for example, DynamoDB)
- Identifying memory-based databases
- Identifying database migration tools (for example AWS Database Migration Service [AWS DMS], AWS Schema Conversion Tool [AWS SCT])

- Identifying the components of a VPC (for example, subnets, gateways)
- Understanding security in a VPC (for example, network ACLs, security groups)
- Understanding the purpose of Amazon Route 53
- Identifying edge services (for example, CloudFront, Global Accelerator)
- Identifying network connectivity options to AWS (for example AWS VPN, Direct Connect)

- Identifying the uses for object storage
- Recognizing the differences in Amazon S3 storage classes
- Identifying block storage solutions (for example, Amazon Elastic Block Store [Amazon EBS], instance store)
- Identifying file services (for example, Amazon Elastic File System [Amazon EFS], Amazon FSx)
- Identifying cached file systems (for example, AWS Storage Gateway)
- Understanding use cases for lifecycle policies
- Understanding use cases for AWS Backup


- Understanding the different AI/ML services and the tasks that they accomplish (for example, Amazon SageMaker, Amazon Lex, Amazon Kendra)
- Identifying the services for data analytics (for example, Amazon Athena, Amazon Kinesis, AWS Glue, Amazon QuickSight)
- Application integration services of Amazon EventBridge, Amazon Simple Notification Service (Amazon SNS), and Amazon Simple Queue Service (Amazon SQS)

- Business application services of Amazon Connect and Amazon Simple Email Service (Amazon SES)
- Customer engagement services of AWS Activate for Startups, AWS IQ, AWS Managed Services (AMS), and AWS Support
- Developer tool services and capabilities of AWS AppConfig, AWS Cloud9, AWS CloudShell, AWS CodeArtifact, AWS CodeBuild, AWS CodeCommit, AWS CodeDeploy, AWS CodePipeline, AWS CodeStar, and AWS X-Ray
- End-user computing services of Amazon AppStream 2.0, Amazon WorkSpaces, and Amazon WorkSpaces Web
- Frontend web and mobile services of AWS Amplify and AWS AppSync
- IoT services of AWS IoT Core and AWS IoT Greengrass

- Choosing the appropriate service to deliver messages and to send alerts and notifications
- Choosing the appropriate service to meet business application needs
- Choosing the appropriate service for AWS customer support
- Choosing the appropriate option for business support assistance
- Identifying the tools to develop, deploy, and troubleshoot applications
- Identifying the services that can present the output of virtual machines (VMs) on end-user machines
- Identifying the services that can create and deploy frontend and mobile services
- Identifying the services that manage IoT devices

- Compute purchasing options (for example, On-Demand Instances, Reserved Instances, Spot Instances, Savings Plans, Dedicated Hosts, Dedicated Instances, Capacity Reservations)
- Data transfer charges
- Storage options and tiers
- Identifying and comparing when to use various compute purchasing options
- Describing Reserved Instance flexibility
- Describing Reserved Instance behavior in AWS Organizations
- Understanding incoming data transfer costs and outgoing data transfer costs (for example, from one Region to another Region, within the same Region)
- Understanding different pricing options for various storage options and tiers

- Billing support and information
- Pricing information for AWS services
- AWS Organizations
- AWS cost allocation tags
- Understanding the appropriate uses and capabilities of AWS Budgets, AWS Cost Explorer, and AWS Billing Conductor
- Understanding the appropriate uses and capabilities of AWS Pricing Calculator
- Understanding AWS Organizations consolidated billing and allocation of costs
- Understanding various types of cost allocation tags and their relation to billing reports (for example, AWS Cost and Usage Report)


- Locating AWS whitepapers, blogs, and documentation on official AWS websites
- Identifying and locating AWS technical resources (for example AWS Prescriptive Guidance, AWS Knowledge Center, AWS re:Post)
- Identifying AWS Support options for AWS customers (for example, customer service and communities, AWS Developer Support, AWS Business Support, AWS Enterprise On-Ramp Support, AWS Enterprise Support)
- Identifying the role of Trusted Advisor, AWS Health Dashboard, and the AWS Health API to help manage and monitor environments for cost optimization

- Identifying the role of the AWS Trust and Safety team to report abuse of AWS resources
- Understanding the role of AWS Partners (for example AWS Marketplace, independent software vendors, system integrators)
- Identifying the benefits of being an AWS Partner (for example, partner training and certification, partner events, partner volume discounts)
- Identifying the key services that AWS Marketplace offers (for example, cost management, governance and entitlement)
- Identifying technical assistance options available at AWS (for example, AWS Professional Services, AWS Solutions Architects)

- APIs
- Benefits of migrating to the AWS Cloud
- AWS Cloud Adoption Framework (AWS CAF)
- AWS Compliance
- Compute
- Cost management
- Databases
- Amazon EC2 instance types (for example, Reserved, On-Demand, Spot)
- AWS global infrastructure (for example, AWS Regions, Availability Zones)
- Infrastructure as code (IaC)
- AWS Knowledge Center
- Machine learning
- Management and governance
- Migration and data transfer
- Network services

- Amazon EventBridge
- Amazon Simple Notification Service (Amazon SNS)
- Amazon Simple Queue Service (Amazon SQS)
- AWS Step Functions
- AWS Billing Conductor
- AWS Budgets
- AWS Cost and Usage Report
- AWS Cost Explorer
- AWS Marketplace
- AWS Batch • Amazon EC2
- AWS Elastic Beanstalk
- Amazon Lightsail
- AWS Local Zones
- AWS Outposts
- AWS Wavelength

- Auto Scaling
- CloudFormation
- CloudTrail
- Amazon CloudWatch
- Compute Optimizer
- Config
- Control Tower
- Health Dashboard
- Launch Wizard
- License Manager
- Management Console
- Organizations
- Resource Groups and Tag Editor
- Service Catalog
- Systems Manager
- Trusted Advisor
- Well-Architected Tool

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CLF-C02
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Question: 870
A company with a Business Support plan needs help resolving an Amazon EKS cluster failure, requiring 24/7 support, cost optimization insights, and proactive health checks. Which AWS support service provides this?
1. AWS Managed Services with CloudWatch
2. AWS IQ with Enterprise Support
C. AWS Support with Business Support plan
D. AWS Activate with Trusted Advisor Answer: C
Explanation: The Business Support plan offers 24/7 support, Trusted Advisor for cost
optimization, and health checks via Personal Health Dashboard. IQ is for experts, AMS operational, and Activate is for startups.
Question: 871
You need to list log files in 's3://my-bucket/logs/' with 'fail' in the name and calculate their total size in MB. Which CLI command is correct?
A. aws s3api get-objects --bucket my-bucket --path logs/ --filter fail --output sizeMB
B. aws s3 ls s3://my-bucket/logs/*fail* | sum Size / 1024 / 1024
C. aws s3api list-objects-v2 --bucket my-bucket --prefix logs/ --query 'Contents[?contains(Key, fail)].Size' | jq 'reduce .[] as $x (0; . + $x) / 1048576'
D. aws s3 list s3://my-bucket/logs/ --match fail | total / 1048576 Answer: C
Explanation: list-objects-v2 with --query and jq sums sizes and converts to MB (divide by 1048576). Option A is correct; others are invalid or less precise.
is
Question: 872
An organization is architecting a highly resilient application on AWS and needs to ensure that its infrastructure can withstand regional failures while maintaining compliance with data residency laws in multiple countries. The application must also serve users globally with minimal latency. Which AWS architectural approach best aligns with these requirements, considering the relationships among Regions, Availability Zones, and edge locations?
1. Deploy the application in a single Region with multiple Availability Zones and use Amazon CloudFront for global content delivery
2. Deploy in a single Availability Zone with edge locations to cache content and handle failover
3. Use multiple Regions with synchronized data replication and leverage AWS Global Accelerator for latency optimization
Answer: C
Explanation: Multiple Regions allow for disaster recovery, business continuity, and compliance with data sovereignty laws by keeping data in specific geographic locations. AWS Global Accelerator optimizes latency by routing traffic through edge locations to the nearest Region, enhancing global performance. Option A limits resilience to a single Region, C restricts scalability and redundancy, and D lacks latency optimization and global reach.
Question: 873
Your team needs to deploy a machine learning model training job that processes 10 TB of data with GPU acceleration. The job requires 16 GPUs and 256 GiB of memory. Which Amazon EC2 instance type is best suited for this workload?
A. M6i.32xlarge
B. G5.12xlarge
C. C6g.16xlarge
D. P4d.24xlarge Answer: D
Explanation: The P4d.24xlarge instance provides 8 NVIDIA A100 GPUs (scalable to 16 via clustering), 1.1 TiB of memory, and is optimized for ML training. G5 is less
4. Use a single Region with no edge locations and rely on Availability Zone redundancy for resilience
powerful, C6g lacks GPUs, and M6i is general-purpose, not ML-optimized.
Question: 874
A company is developing a customer support application that requires a conversational
interface to handle user inquiries about product availability and pricing. The solution must integrate natural language processing to interpret user intents and provide real-time responses, while also supporting integration with a backend inventory system. Which AWS AI/ML service should the company use to build this conversational interface with minimal development effort?
1. Amazon Kendra with search indexing enabled
2. Amazon SageMaker with a custom NLP model trained on SageMaker JumpStart
D. Amazon Comprehend with entity recognition and sentiment analysis Answer: C
Explanation: Amazon Lex is designed for building conversational interfaces, such as chatbots, with natural language understanding (NLU) capabilities to recognize user intents and utterances. It supports integration with AWS Lambda for backend processing (e.g., querying an inventory system), making it ideal for this use case with minimal development effort. Amazon Kendra is an intelligent search service, not a conversational tool. Amazon SageMaker requires building and training custom models, increasing complexity. Amazon Comprehend analyzes text but doesn�t provide conversational capabilities.
Question: 875
An organization is deploying a machine learning workload on AWS and must choose an interaction method for provisioning resources. The team is debating between the AWS CLI for scripted automation, the AWS Management Console for ease of use, or AWS CloudFormation for templated deployments. The workload requires consistent setup across multiple teams and regions. Which method should they select?
A. AWS Management Console
B. AWS CloudFormation
Amazon Lex with intent recognition and Lambda integration
1. AWS CLI
2. AWS SDKs
Answer: B
Explanation: AWS CloudFormation ensures consistent, templated deployments across multiple teams and regions using infrastructure as code, making it the best choice for this machine learning workload. The AWS Management Console is manual and not scalable
for this use case. The AWS CLI and SDKs offer automation but lack the structured repeatability of CloudFormation.
Question: 876
that occur twice monthly. The team wants to balance cost savings with availability and avoid long-term commitments. Which compute purchasing option should they choose?
A. 5 Reserved Instances with 1-year term and 15 Spot Instances
B. 5 On-Demand Instances and 15 Savings Plans
C. 5 Dedicated Instances and 15 On-Demand Instances
D. 5 Spot Instances with Capacity Reservations and 10 Dedicated Hosts Answer: A
Explanation: Reserved Instances (1-year) save costs for the baseline, while Spot Instances handle bursts cheaply with availability risks mitigated by the small scale. Savings Plans require commitment, Dedicated Instances are expensive, and Dedicated Hosts are unnecessary.
Question: 877
A company uses AWS Launch Wizard to deploy a Microsoft SQL Server on EC2 with a custom domain join script and needs to ensure the instance joins the domain only after DNS resolution is confirmed. Which configuration should they use?
A. Add a "UserData" script with "Resolve-DnsName -Name domain.local" and a "DependsOn" clause for the DNS resource in the CloudFormation output
A startup runs a web application with unpredictable traffic, requiring 5 t3.medium instances for baseline load and up to 15 additional instances during marketing campaigns
1. Use a "CreationPolicy" with a "ResourceSignal" to wait for domain join completion
2. Configure a "WaitCondition" to pause deployment until DNS resolves, triggered by a Lambda function
3. Set a "Condition" in Launch Wizard to check DNS availability before EC2 provisioning
Answer: A
Explanation: Launch Wizard generates CloudFormation, where a "UserData" script (e.g., PowerShell�s "Resolve-DnsName") can verify DNS resolution, and "DependsOn" ensures sequencing. "CreationPolicy" is for resource signals, "WaitCondition" is overkill with Lambda, and "Condition" isn�t a Launch Wizard feature.
A company uses AWS Storage Gateway to provide on-premises access to product catalogs stored in Amazon S3. The solution must cache frequently accessed files locally and support Windows-based clients via SMB. Which Storage Gateway configuration should they deploy?
A. Volume Gateway with cached volumes
B. File Gateway with SMB and S3 backend
C. Tape Gateway with S3 Glacier
D. File Gateway with NFS and S3 backend Answer: B
Explanation: File Gateway with SMB and an S3 backend caches files locally and supports Windows clients via SMB, meeting the requirements. Volume Gateway (option
B) is for block storage, not SMB. Tape Gateway (option C) is for archival, and NFS (option D) is for Linux, not Windows.
Question: 879
A parent company uses AWS Organizations with 5 member accounts and purchases 20 c5.large Reserved Instances with a 1-year term and All Upfront payment in the
Question: 878
management account. Two member accounts run 10 c5.large instances each, while the management account runs none. How does the Reserved Instance discount behave across the organization?
1. The discount applies to one member account only, chosen randomly
2. The discount applies only to the management account unless shared explicitly
3. The discount splits evenly, covering 10 instances total across accounts
4. The discount applies to all 20 instances across the two member accounts automatically
Answer: D
Question: 880
Your 50 TB app uses X-Ray to trace a Lambda function, requiring a segment filter for requests taking >500 ms and a custom annotation "env=prod". Which X-Ray command creates this filter?
A. aws xray configure-group --group MyGroup --filter "duration>0.5,env=prod"
B. aws xray set-filter --name MyGroup --expr "lambda > 500ms env=prod"
C. aws xray create-group --group-name MyGroup --filter-expression "service(lambdC. { duration > 0.5 } annotation.env = \"prod\""
D. aws xray trace-filter --name MyGroup --condition "lambda>500ms" --annotation "env=prod"
Answer: C
Explanation: X-Ray�s create-group uses filter expressions for duration (>500 ms = 0.5s) and annotations (env=prod). Option A is correct; others are invalid.
Question: 881
A gaming company uses Amazon RDS for its leaderboard database and must comply with GDPR, which requires data encryption and access auditing. The compliance requirements differ from those of Amazon EC2, which they previously used. How does
Explanation: In AWS Organizations, RIs purchased in the management account with Regional scope automatically apply to eligible instances across member accounts, covering all 20 c5.large instances. Option B requires explicit sharing only for account- specific RIs, C is incorrect, and D is random nonsense.
the encryption responsibility shift when moving from EC2 to RDS?
1. Customer fully manages encryption for both services
2. Customer manages encryption on EC2, while AWS handles it for RDS
3. AWS manages encryption for EC2, while customer handles it for RDS
4. Encryption is optional for RDS but mandatory for EC2 Answer: A
Explanation: For both EC2 and RDS, customers manage encryption (e.g., EBS/KMS for EC2, KMS for RDS) under the shared responsibility model, as it�s security in the cloud. AWS provides tools, but implementation is customer-driven, making A, C, and D incorrect.
An IoT solution processes telemetry data from thousands of devices using AWS IoT Core, with edge processing handled by AWS IoT Greengrass. The system must route messages to Amazon Kinesis Data Streams based on a rule evaluating the payload temperature > 75�C, then trigger a Lambda function for analytics. Which IoT Core rule syntax achieves this?
A. SELECT * WHERE temperature > 75 FROM 'devices/*� INTO kinesis_stream('my_stream')
B. SELECT temperature FROM 'devices/#� WHERE temperature > 75 THEN kinesis_stream('my_stream')
C. FROM 'devices/+/telemetry' WHERE temperature > 75 TO kinesis_stream('my_stream')
D. SELECT * FROM 'devices/+/telemetry' WHERE temperature > 75 INTO kinesis_stream('my_stream')
Answer: D
Explanation: AWS IoT Core rules use SQL-like syntax: SELECT * FROM 'devices/+/telemetry' WHERE temperature > 75 correctly filters messages with temperature > 75�C from a Topic with wildcards (+), routing them to Kinesis via kinesis_stream('my_stream').
Question: 882
Question: 883
A bioinformatics company needs to run CPU-intensive genomic sequencing workloads on AWS, requiring instances optimized for high-performance computing and low-latency interconnects for cluster processing. Which EC2 instance type is most appropriate?
1. Compute-optimized (C6i) instances
2. Memory-optimized (R5) instances
3. Storage-optimized (H1) instances
4. General-purpose (M6g) instances Answer: A
Question: 884
A retailer�s on-premises costs include $50,000 fixed for hardware and $2,000�$5,000 variable for utilities monthly. On AWS, they use 10 m5.large instances ($0.096/hour) 24/
7. What�s the cost shift?
A. Both costs balance out
B. Variable costs decrease due to efficiency
C. Fixed costs rise with instance reservations
D. Fixed costs drop, variable costs align with usage Answer: D
Explanation: AWS: 10 � $0.096 � 720 = $691.20/month ($8,294/year), all variable. Fixed ($50,000) disappears, variable ($24,000�$60,000) shifts to usage-based pricing.
Question: 885
Your application uses the AWS SDK for Python (Boto3) to upload files to an S3 bucket. You need to implement multipart uploads for files exceeding 5 GB with automatic retries on failure. Which Boto3 method and parameter should you configure?
Explanation: Compute-optimized (C6i) instances offer high CPU performance and low- latency interconnects, ideal for genomic sequencing. Memory-optimized (R5) prioritize RAM, storage-optimized (H1) focus on I/O, and general-purpose (M6g) lack the CPU specialization needed.
1. s3.upload_fileobj with TransferConfig(max_attempts=3)
2. s3.put_object with MultipartThreshold=5GB
3. s3.upload_file with Config=RetryAttempts(5)
4. s3.create_multipart_upload with RetryMode=adaptive Answer: A
Explanation: Boto3�s s3.upload_fileobj with TransferConfig(max_attempts=3) supports multipart uploads for files over 5 GB with retries. upload_file lacks retry config, put_object is for single uploads, and create_multipart_upload is low-level without retry parameters.
A gaming application on AWS requires a database to cache player profiles and game states in memory, delivering sub-millisecond latency for frequent updates, while persisting critical data to a durable store. Which memory-based database is most suitable?
A. Amazon DynamoDB with DAX
B. Amazon RDS with MySQL
C. Amazon ElastiCache with Memcached
D. Amazon Aurora Answer: C
Explanation: Amazon ElastiCache with Memcached provides in-memory caching with sub-millisecond latency, suitable for game states, with persistence handled separately. DynamoDB with DAX is NoSQL-specific, RDS and Aurora are disk-based relational databases.
Question: 887
A retail chain needs to send transactional SMS alerts to customers when orders ship, alongside push notifications to their mobile app when items are back in stock, with the ability to process millions of messages daily and integrate with Amazon DynamoDB for customer preferences. Which AWS service should they use for this messaging system?
Question: 886
1. AWS AppSync
2. Amazon SES
3. Amazon SQS
4. Amazon Pinpoint Answer: D
Explanation: Amazon Pinpoint supports high-volume SMS and push notifications with DynamoDB integration for preferences. SES is email-focused, SQS is for queuing, and AppSync is for GraphQL data sync, not alerts.
Question: 888
Which S3 feature and configuration should you enable to enforce this requirement?
A. S3 Glacier Vault Lock with LockPeriod=5y and legal hold
B. S3 Versioning with RetentionDays=1825 and MFA Delete enabled
C. S3 Object Lock with {"Mode":"Governance","RetentionPeriod":1825} in the bucket policy
D. S3 Lifecycle with {"Protect":true,"Days":1825} and deletion disabled Answer: C
Explanation: S3 Object Lock with Governance mode and a retention period (5 years = 1825 days) prevents deletion until the period expires. Versioning with MFA Delete adds protection but lacks retention, Glacier Vault Lock is for Glacier, and Lifecycle doesn�t enforce retention. Option A is correct for S3.
Question: 889
A software development company is building a CI/CD pipeline for a new application and must decide how to interact with AWS services to deploy resources. The team is split between using the AWS SDKs for custom automation in their preferred programming language, the AWS Management Console for quick manual deployments, or AWS CloudFormation for templated infrastructure management. The pipeline requires consistent deployments across development, testing, and production environments.
Your company stores petabytes of archival data in an S3 bucket, and you need to ensure that objects are protected against accidental deletion with a retention period of 5 years.
Which method should the team adopt?
1. AWS CloudFormation
2. AWS SDKs
3. AWS Management Console
4. AWS CLI
Answer: A
Explanation: AWS CloudFormation is the best fit for a CI/CD pipeline requiring consistent deployments across multiple environments. It uses infrastructure as code to define resources in templates, ensuring repeatability and consistency. The AWS Management Console is manual and error-prone for this use case, while the AWS SDKs and CLI are better for ad-hoc scripting but lack the structured, templated approach of CloudFormation.

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CLF-C02 Exam

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