MCQs on Deployment Strategies and Techniques | AWS CodeDeploy MCQs Questions

Boost your expertise with AWS CodeDeploy MCQ questions and answers tailored to cover key deployment strategies like All-at-Once (In-place) Deployment, Blue/Green Deployments, and Custom Deployment Configurations. Perfect for cloud practitioners, these questions help in understanding real-world deployment challenges while preparing for AWS certification.


Chapter 3: Deployment Strategies and Techniques


1-8: All-at-Once (In-place) Deployment
  1. What is the primary characteristic of an All-at-Once deployment in AWS CodeDeploy?
    a) All instances are updated simultaneously
    b) Instances are updated one by one
    c) A new environment is created for deployment
    d) Only failed instances are updated
  2. What is a potential drawback of the All-at-Once deployment method?
    a) Long deployment times
    b) Higher cost due to environment duplication
    c) Downtime if the deployment fails
    d) Limited logging capabilities
  3. Which environment type is primarily used in All-at-Once deployments?
    a) Immutable environments
    b) Staging environments
    c) Production environments
    d) Blue/Green environments
  4. How can you roll back an All-at-Once deployment in AWS CodeDeploy?
    a) By redeploying the previous application version
    b) By using AWS CloudTrail
    c) By scaling up instances
    d) By enabling continuous integration
  5. Which application types can be deployed using All-at-Once in AWS CodeDeploy?
    a) Lambda functions and Docker containers
    b) EC2/On-Premises instances
    c) Amazon RDS databases
    d) Amazon S3 bucket policies
  6. What is required for monitoring All-at-Once deployments?
    a) CloudWatch alarms and logs
    b) AWS Glue scripts
    c) Route 53 configurations
    d) S3 bucket versioning
  7. What AWS service integrates with CodeDeploy for automatic rollbacks during All-at-Once deployments?
    a) AWS CloudWatch
    b) Amazon DynamoDB
    c) AWS Glue
    d) AWS S3
  8. What happens if a failure occurs during an All-at-Once deployment?
    a) All instances experience downtime
    b) The deployment continues without errors
    c) Only failed instances are updated
    d) New instances are automatically created

9-16: Blue/Green Deployments
  1. What is the main advantage of a Blue/Green deployment strategy?
    a) Zero downtime during deployment
    b) Faster deployments
    c) Reduced costs
    d) Simpler rollback
  2. In a Blue/Green deployment, what does the “Blue” environment represent?
    a) The new version of the application
    b) The testing environment
    c) The active production environment
    d) The database cluster
  3. What action is performed after successfully verifying the “Green” environment in Blue/Green deployments?
    a) Traffic is switched to the Green environment
    b) The Blue environment is terminated immediately
    c) The application is redeployed to the Blue environment
    d) Logs are deleted from the Blue environment
  4. How are DNS changes typically handled during Blue/Green deployments?
    a) By updating Route 53 records
    b) By modifying IAM policies
    c) By enabling CloudTrail tracking
    d) By creating CloudFormation stacks
  5. Which of the following services supports Blue/Green deployments natively?
    a) AWS CodeDeploy and Elastic Beanstalk
    b) AWS CloudFormation and Amazon RDS
    c) Amazon S3 and AWS Glue
    d) AWS Lambda and Amazon EC2
  6. What is the primary benefit of Blue/Green deployments for security?
    a) Testing in isolated environments before production
    b) Automated encryption of resources
    c) Real-time monitoring with IAM policies
    d) Multi-region availability
  7. What is a common rollback strategy for Blue/Green deployments?
    a) Reverting traffic back to the Blue environment
    b) Deleting the Green environment
    c) Stopping all application processes
    d) Reconfiguring AWS CloudWatch
  8. How does AWS CodeDeploy route traffic during a Blue/Green deployment?
    a) Using Elastic Load Balancing (ELB) or Route 53
    b) By configuring IAM permissions
    c) Through manual DNS updates
    d) Using AWS Glue scripts

17-25: Custom Deployment Configurations
  1. What is the purpose of custom deployment configurations in AWS CodeDeploy?
    a) To define how traffic is shifted during deployments
    b) To monitor deployment logs
    c) To simplify IAM role creation
    d) To encrypt application files
  2. Which of the following can be customized in a deployment configuration?
    a) The percentage of instances updated at each step
    b) The number of log files generated
    c) The duration of AWS Glue jobs
    d) The type of EC2 instances used
  3. How is a deployment configuration defined in AWS CodeDeploy?
    a) By using a JSON or YAML template
    b) By editing CloudWatch alarms
    c) By enabling CloudTrail logs
    d) By creating an S3 bucket policy
  4. Which deployment configuration updates half of the instances at a time?
    a) HalfAtATime
    b) AllAtOnce
    c) OneByOne
    d) CustomLinear
  5. How can you implement health checks in custom deployment configurations?
    a) By integrating with CloudWatch metrics
    b) By using AWS Config rules
    c) By enabling CloudTrail logging
    d) By modifying Route 53 DNS records
  6. What is the benefit of a Linear deployment configuration?
    a) Updates instances incrementally over time
    b) Provides immediate updates to all instances
    c) Deploys only to test environments
    d) Automates database migrations
  7. Which AWS resource is commonly used to manage deployment configurations?
    a) AWS CodeDeploy Console or CLI
    b) Amazon S3 Bucket Policies
    c) AWS Lambda Functions
    d) CloudFormation Stacks
  8. How can you validate a custom deployment configuration?
    a) By running a test deployment
    b) By enabling S3 encryption
    c) By creating IAM roles
    d) By disabling CloudWatch logs
  9. What happens if a health check fails during a custom deployment?
    a) The deployment pauses or rolls back
    b) The deployment continues without impact
    c) Only failed instances are terminated
    d) All EC2 instances are replaced

Answer Key

QnoAnswer (Option with Text)
1a) All instances are updated simultaneously
2c) Downtime if the deployment fails
3c) Production environments
4a) By redeploying the previous application version
5b) EC2/On-Premises instances
6a) CloudWatch alarms and logs
7a) AWS CloudWatch
8a) All instances experience downtime
9a) Zero downtime during deployment
10c) The active production environment
11a) Traffic is switched to the Green environment
12a) By updating Route 53 records
13a) AWS CodeDeploy and Elastic Beanstalk
14a) Testing in isolated environments before production
15a) Reverting traffic back to the Blue environment
16a) Using Elastic Load Balancing (ELB) or Route 53
17a) To define how traffic is shifted during deployments
18a) The percentage of instances updated at each step
19a) By using a JSON or YAML template
20a) HalfAtATime
21a) By integrating with CloudWatch metrics
22a) Updates instances incrementally over time
23a) AWS CodeDeploy Console or CLI
24a) By running a test deployment
25a) The deployment pauses or rolls back

Use a Blank Sheet, Note your Answers and Finally tally with our answer at last. Give Yourself Score.

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