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| Section | Weight | Objectives |
|---|
| SDLC Automation | 22% | - Implement CI/CD pipelines
- 1. Use AWS CodePipeline, CodeBuild, CodeDeploy
- 2. Integrate version control systems
- 3. Automate build, test, and deployment stages
- Automate software release processes
- 1. Manage artifacts and dependencies
- 2. Implement deployment strategies
- 3. Automate rollback procedures
- Automate testing and validation
- 1. Automate quality gates
- 2. Unit, integration, and performance testing
- 3. Security and compliance testing
|
| Configuration Management and Infrastructure as Code | 17% | - Automate configuration management
- 1. Maintain consistent configurations
- 2. Detect and remediate configuration drift
- 3. Use AWS Systems Manager, Ansible, or Puppet
- Manage infrastructure deployments
- 1. Provision and update resources automatically
- 2. Manage multi-account and multi-region environments
- 3. Implement version control for configurations
- Implement infrastructure as code
- 1. Manage templates and stacks
- 2. Use AWS CloudFormation, Terraform, or AWS CDK
- 3. Enforce configuration standards
|
| Incident and Event Response | 14% | - Automate event management
- 1. Automate common operational tasks
- 2. Classify and prioritize events
- 3. Integrate with ticketing and workflow systems
- Improve operational processes
- 1. Implement feedback loops
- 2. Update runbooks and playbooks
- 3. Optimize response time and efficiency
- Manage incidents and outages
- 1. Document and learn from events
- 2. Coordinate response and recovery
- 3. Troubleshoot complex issues
|
| Resilient Cloud Solutions | 15% | - Design high availability architectures
- 1. Use Route 53 for routing and failover
- 2. Multi-AZ and multi-region deployments
- 3. Implement auto scaling and load balancing
- Ensure reliability and scalability
- 1. Optimize performance and cost
- 2. Manage capacity and elasticity
- 3. Design for fault tolerance
- Implement disaster recovery
- 1. Pilot light, warm standby, and active-active
- 2. Test and validate recovery plans
- 3. Backup and restore strategies
|
| Security, Governance, and Compliance | 17% | - Automate security and compliance
- 1. Detect and remediate violations automatically
- 2. Use AWS Security Hub and AWS Shield
- 3. Integrate security into CI/CD pipelines
- Implement security controls
- 1. Manage IAM for pipelines and environments
- 2. Encrypt data at rest and in transit
- 3. Secure secrets and credentials
- Enforce governance and compliance
- 1. Manage access and permissions at scale
- 2. Implement compliance rules and audits
- 3. Use AWS Config and AWS Organizations
|
| Monitoring and Logging | 15% | - Implement logging and analysis
- 1. Use AWS X-Ray for tracing
- 2. Centralize logs with CloudWatch Logs
- 3. Analyze logs for troubleshooting and security
- Automate incident response
- 1. Implement alerting and notification workflows
- 2. Set up event-driven actions with Amazon EventBridge
- 3. Automate remediation and scaling
- Implement monitoring solutions
- 1. Create dashboards and insights
- 2. Monitor infrastructure, applications, and costs
- 3. Use Amazon CloudWatch for metrics and alarms
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q194-Q199):
NEW QUESTION # 194
A company has an on-premises application that is written in Go. A DevOps engineer must move the application to AWS. The company's development team wants to enable blue/green deployments and perform A/B testing.
Which solution will meet these requirements?
- A. Use Amazon Lightsail to deploy the application. Store the application in a zipped format in an Amazon S3 bucket. Use this zipped version to deploy new versions of the application to Lightsail. Use Lightsail deployment options to manage the deployment.
- B. Deploy the application on an Amazon EC2 instance, and create an AMI of the instance. Use the AMI to create an automatic scaling launch configuration that is used in an Auto Scaling group. Use Elastic Load Balancing to distribute traffic. When changes are made to the application, a new AMI will be created, which will initiate an EC2 instance refresh.
- C. Use AWS Elastic Beanstalk to host the application. Store a zipped version of the application in Amazon S3. Use that location to deploy new versions of the application. Use Elastic Beanstalk to manage the deployment options.
- D. Use AWS CodeArtifact to store the application code. Use AWS CodeDeploy to deploy the application to a fleet of Amazon EC2 instances. Use Elastic Load Balancing to distribute the traffic to the EC2 instances. When making changes to the application, upload a new version to CodeArtifact and create a new CodeDeploy deployment.
Answer: C
Explanation:
https://aws.amazon.com/quickstart/architecture/blue-green-deployment/
NEW QUESTION # 195
A company is building a web application on AWS. The application uses AWS CodeConnections to access a Git repository. The company sets up a pipeline in AWS CodePipeline that automatically builds and deploys the application to a staging environment when the company pushes code to the main branch. Bugs and integration issues sometimes occur in the main branch because there is no automated testing integrated into the pipeline.
The company wants to automatically run tests when code merges occur in the Git repository and to prevent deployments from reaching the staging environment if any test fails. Tests can run up to 20 minutes. Which solution will meet these requirements?
- A. Configure Git webhooks to initiate an AWS Lambda function during each code merge. Configure the Lambda function to run tests programmatically and to stop the pipeline if a test fails.
- B. Configure the Git repository to push code to an Amazon S3 bucket during each code merge. Use S3 Event Notifications to initiate tests and to revert the code merge if a test fails.
- C. Configure AWS Batch to use Docker images of test environments. Integrate AWS Batch into the pipeline. Add an AWS Lambda function to the pipeline that submits the batch jobs and reverts the code merge if a test fails.
- D. Add an AWS CodeBuild action to the pipeline. Add a buildspec.yml file to the Git repository to define commands to run tests. Configure the pipeline to stop the deployment if a test fails.
Answer: D
Explanation:
AWS CodePipeline supports multiple stages including source, build, test, and deploy. The most efficient way to integrate automated testing is by adding an AWS CodeBuild action to the pipeline that runs the tests using a buildspec.yml file. CodeBuild can be configured to fail the pipeline automatically if tests fail, ensuring that deployments do not proceed to the staging environment. This pattern is directly supported and documented in AWS CodePipeline + CodeBuild CI/CD architecture guidance.
NEW QUESTION # 196
A company wants to migrate its content sharing web application hosted on Amazon EC2 to a serverless architecture. The company currently deploys changes to its application by creating a new Auto Scaling group of EC2 instances and a new Elastic Load Balancer, and then shifting the traffic away using an Amazon Route 53 weighted routing policy.
For its new serverless application, the company is planning to use Amazon API Gateway and AWS Lambd a. The company will need to update its deployment processes to work with the new application. It will also need to retain the ability to test new features on a small number of users before rolling the features out to the entire user base.
Which deployment strategy will meet these requirements?
- A. Use AWS CloudFormation to deploy API Gateway and Lambda functions using Lambda function versions. When code needs to be changed, update the CloudFormation stack with the new Lambda code and update the API versions using a canary release strategy. Promote the new version when testing is complete.
- B. Use AWS CDK to deploy API Gateway and Lambda functions. When code needs to be changed, update the AWS CloudFormation stack and deploy the new version of the APIs and Lambda functions. Use a Route 53 failover routing policy for the canary release strategy.
- C. Use AWS Elastic Beanstalk to deploy API Gateway and Lambda functions. When code needs to be changed, deploy a new version of the API and Lambda functions. Shift traffic gradually using an Elastic Beanstalk blue/green deployment.
- D. Use AWS OpsWorks to deploy API Gateway in the service layer and Lambda functions in a custom layer. When code needs to be changed, use OpsWorks to perform a blue/green deployment and shift traffic gradually.
Answer: A
Explanation:
https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/automating-updates-to-serverless-apps.html
NEW QUESTION # 197
A company detects unusual login attempts in many of its AWS accounts. A DevOps engineer must implement a solution that sends a notification to the company's security team when multiple failed login attempts occur.
The DevOps engineer has already created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the security team to the SNS topic.
Which solution will provide the notification with the LEAST operational effort?
- A. Configure AWS CloudTrail to send log management events to an Amazon S3 bucket. Create an Amazon Athena query that returns a failure if the query finds failed logins in the logs in the S3 bucket.
Create an Amazon EventBridge rule to periodically run the query. Create a second EventBridge rule to detect when the query fails and to send a message to the SNS topic. - B. Configure AWS CloudTrail to send log management events to an Amazon CloudWatch Logs log group.
Create a CloudWatch Logs metric filter to match failed ConsoleLogin events. Create a CloudWatch alarm that is based on the metric filter. Configure an alarm action to send messages to the SNS topic. - C. Configure AWS CloudTrail to send log data events to an Amazon S3 bucket. Configure an Amazon S3 event notification for the s3:ObjectCreated event type. Filter the event type by ConsoleLogin failed events. Configure the event notification to forward to the SNS topic.
- D. Configure AWS CloudTrail to send log data events to an Amazon CloudWatch Logs log group. Create a CloudWatch logs metric filter to match failed Consolel_ogin events. Create a CloudWatch alarm that is based on the metric filter. Configure an alarm action to send messages to the SNS topic.
Answer: D
NEW QUESTION # 198
A company runs an application that uses an Amazon S3 bucket to store images. A DevOps engineer needs to implement a multi-Region disaster recovery (DR) strategy for the S3 objects. The DevOps engineer enables two-way replication between the S3 buckets.
The company must be able to fail over to a second S3 bucket that is in a second AWS Region. When an image is added to either S3 bucket, the image must be replicated to the other S3 bucket within 15 minutes.
Which combination of steps will meet these requirements in the MOST operationally efficient way? (Select THREE.)
- A. Use Amazon Route 53 Application Recovery Controller (ARC) to shift traffic from the primary bucket to the failover bucket in the second Region.
- B. Enable S3 Transfer Acceleration on both S3 buckets.
- C. Enable S3 Replication Time Control (S3 RTC) for each replication rule used in the configuration.
- D. Configure a routing control in Amazon Route 53 Application Recovery Controller (ARC). Add both S3 buckets in an active-passive configuration.
- E. Create an S3 Multi-Region Access Point in an active-passive configuration.
- F. Call the SubmitMultiRegionAccessPointRoutes operation in the Amazon S3 API when the company needs to fail over to the S3 bucket in the second Region.
Answer: C,E,F
Explanation:
A (S3 RTC) is required to meet the "replicated within 15 minutes" requirement in a verifiable way. Replication Time Control is the S3 feature that provides a 15-minute replication time SLA for replicated objects (instead of "best effort" replication timing).
B (S3 Multi-Region Access Point, active-passive) provides the most operationally efficient failover approach. An MRAP gives you a single global access point for S3 across Regions and supports controlled routing to the chosen bucket, avoiding custom DNS logic per application/client.
C (SubmitMultiRegionAccessPointRoutes) is the mechanism to perform failover for an MRAP by changing which Regional bucket is routed for the Multi-Region Access Point. This gives an explicit, API-driven "fail over now" action aligned with active-passive routing.
Why the others aren't part of the "most operationally efficient" three:
D (Transfer Acceleration) optimizes upload/download performance over long distances, but it does not guarantee cross-Region replication within 15 minutes and doesn't provide failover control.
NEW QUESTION # 199
......
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