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Amazon DOP-C02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Security, Governance, and Compliance | 17% | - Implement security controls
- 1. Encrypt data at rest and in transit
- 2. Secure secrets and credentials
- 3. Manage IAM for pipelines and environments
- Automate security and compliance
- 1. Integrate security into CI/CD pipelines
- 2. Detect and remediate violations automatically
- 3. Use AWS Security Hub and AWS Shield
- Enforce governance and compliance
- 1. Implement compliance rules and audits
- 2. Use AWS Config and AWS Organizations
- 3. Manage access and permissions at scale
|
| Monitoring and Logging | 15% | - Automate incident response
- 1. Automate remediation and scaling
- 2. Implement alerting and notification workflows
- 3. Set up event-driven actions with Amazon EventBridge
- Implement monitoring solutions
- 1. Create dashboards and insights
- 2. Monitor infrastructure, applications, and costs
- 3. Use Amazon CloudWatch for metrics and alarms
- Implement logging and analysis
- 1. Analyze logs for troubleshooting and security
- 2. Use AWS X-Ray for tracing
- 3. Centralize logs with CloudWatch Logs
|
| Resilient Cloud Solutions | 15% | - Implement disaster recovery
- 1. Pilot light, warm standby, and active-active
- 2. Backup and restore strategies
- 3. Test and validate recovery plans
- Design high availability architectures
- 1. Multi-AZ and multi-region deployments
- 2. Use Route 53 for routing and failover
- 3. Implement auto scaling and load balancing
- Ensure reliability and scalability
- 1. Design for fault tolerance
- 2. Optimize performance and cost
- 3. Manage capacity and elasticity
|
| SDLC Automation | 22% | - Automate testing and validation
- 1. Security and compliance testing
- 2. Automate quality gates
- 3. Unit, integration, and performance testing
- Implement CI/CD pipelines
- 1. Integrate version control systems
- 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
- 3. Automate build, test, and deployment stages
- Automate software release processes
- 1. Implement deployment strategies
- 2. Automate rollback procedures
- 3. Manage artifacts and dependencies
|
| Configuration Management and Infrastructure as Code | 17% | - Implement infrastructure as code
- 1. Enforce configuration standards
- 2. Manage templates and stacks
- 3. Use AWS CloudFormation, Terraform, or AWS CDK
- 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
|
| Incident and Event Response | 14% | - Improve operational processes
- 1. Optimize response time and efficiency
- 2. Update runbooks and playbooks
- 3. Implement feedback loops
- Manage incidents and outages
- 1. Document and learn from events
- 2. Troubleshoot complex issues
- 3. Coordinate response and recovery
- Automate event management
- 1. Automate common operational tasks
- 2. Integrate with ticketing and workflow systems
- 3. Classify and prioritize events
|
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Amazon AWS Certified DevOps Engineer - Professional DOP-C02 Prüfungsfragen mit Lösungen (Q318-Q323):
318. Frage
A DevOps team is merging code revisions for an application that uses an Amazon RDS Multi-AZ DB cluster for its production database. The DevOps team uses continuous integration to periodically verify that the application works. The DevOps team needs to test the changes before the changes are deployed to the production database.
Which solution will meet these requirements'?
- A. Deploy the application to production. Configure an audit log of data control language (DCL) operations to capture database activities to perform if verification fails.
- B. Ensure that the DB cluster is a Multi-AZ deployment. Deploy the application with the updates. Fail over to the standby instance if verification fails.
- C. Use a buildspec file in AWS CodeBuild to restore the DB cluster from a snapshot of the production database run integration tests, and drop the restored database after verification.
- D. Create a snapshot of the DB duster before deploying the application Use the Update requires Replacement property on the DB instance in AWS CloudFormation to deploy the application and apply the changes.
Antwort: C
Begründung:
This solution will meet the requirements because it will create a temporary copy of the production database using a snapshot, run the integration tests on the copy, and delete the copy after the tests are done. This way, the production database will not be affected by the code revisions, and the DevOps team can test the changes before deploying them to production. A buildspec file is a YAML file that contains the commands and settings that CodeBuild uses to run a build1. The buildspec file can specify the steps to restore the DB cluster from a snapshot, run the integration tests, and drop the restored database2
319. Frage
A development team is using AWS CodeCommit to version control application code and AWS CodePipeline to orchestrate software deployments. The team has decided to use a remote main branch as the trigger for the pipeline to integrate code changes. A developer has pushed code changes to the CodeCommit repository, but noticed that the pipeline had no reaction, even after 10 minutes.
Which of the following actions should be taken to troubleshoot this issue?
- A. Check that the CodePipeline service role has permission to access the CodeCommit repository.
- B. Check that an Amazon EventBridge rule has been created for the main branch to trigger the pipeline.
- C. Check to see if the pipeline failed to start because of CodeCommit errors in Amazon CloudWatch Logs.
- D. Check that the developer's IAM role has permission to push to the CodeCommit repository.
Antwort: B
Begründung:
Explanation
When you create a pipeline from CodePipeline during the step-by-step it creates a CloudWatch Event rule for a given branch and repo like this:
{
"source": [
"aws.codecommit"
],
"detail-type": [
"CodeCommit Repository State Change"
],
"resources": [
"arn:aws:codecommit:us-east-1:xxxxx:repo-name"
],
"detail": {
"event": [
"referenceCreated",
"referenceUpdated"
],
"referenceType": [
"branch"
],
"referenceName": [
"master"
]
}
}
https://docs.aws.amazon.com/codepipeline/latest/userguide/pipelines-trigger-source-repo-changes-console.html
320. Frage
A company has multiple development teams in different business units that work in a shared single AWS account All Amazon EC2 resources that are created in the account must include tags that specify who created the resources. The tagging must occur within the first hour of resource creation.
A DevOps engineer needs to add tags to the created resources that Include the user ID that created the resource and the cost center ID The DevOps engineer configures an AWS Lambda function With the cost center mappings to tag the resources. The DevOps engineer also sets up AWS CloudTrail in the AWS account. An Amazon S3 bucket stores the CloudTrail event logs Which solution will meet the tagging requirements?
- A. Enable server access logging on the S3 bucket. Create an S3 event notification on the S3 bucket for s3.
ObjectTaggIng.* events - B. Create an S3 event notification on the S3 bucket to invoke the Lambda function for s3.ObJectTagging:Put events. Enable bucket versioning on the S3 bucket.
- C. Create a recurring hourly Amazon EventBridge scheduled rule that invokes the Larnbda function.
Modify the Lambda function to read the logs from the S3 bucket - D. Create an Amazon EventBridge rule that uses Amazon EC2 as the event source. Configure the rule to match events delivered by CloudTraiI. Configure the rule to target the Lambda function
Antwort: D
Begründung:
Explanation
Option A is incorrect because S3 event notifications do not support s3.ObjectTagging:Put events. S3 event notifications only support events related to object creation, deletion, replication, and restore.
Moreover, enabling bucket versioning on the S3 bucket is not relevant to the tagging requirements, as it only keeps multiple versions of objects in the bucket.
Option B is incorrect because enabling server access logging on the S3 bucket does not help with tagging the resources. Server access logging only records requests for access to the bucket or its objects.
It does not capture the user ID or the cost center ID of the resources. Furthermore, creating an S3 event notification on the S3 bucket for s3.ObjectTagging:Put events is not possible, as explained in option A.
Option C is incorrect because creating a recurring hourly Amazon EventBridge scheduled rule that invokes the Lambda function is not efficient or timely. The Lambda function would have to read the logs from the S3 bucket every hour and tag the resources accordingly, which could incur unnecessary costs and delays. A better solution would be to trigger the Lambda function as soon as a resource is created, rather than waiting for an hourly schedule.
Option D is correct because creating an Amazon EventBridge rule that uses Amazon EC2 as the event source and matches events delivered by CloudTrail is a valid way to tag the resources. CloudTrail records all API calls made to AWS services, including EC2, and delivers them as events to EventBridge.
The EventBridge rule can filter the events based on the user ID and the resource type, and then target the Lambda function to tag the resources with the cost center ID. This solution meets the tagging requirements in a timely and efficient manner.
References:
S3 event notifications
Server access logging
Amazon EventBridge rules
AWS CloudTrail
321. Frage
A company is using an AWS CodeBuild project to build and package an application. The packages are copied to a shared Amazon S3 bucket before being deployed across multiple AWS accounts.
The buildspec.yml file contains the following:

The DevOps engineer has noticed that anybody with an AWS account is able to download the artifacts.
What steps should the DevOps engineer take to stop this?
- A. Modify the post_build command to remove --acl authenticated-read and configure a bucket policy that allows read access to the relevant AWS accounts only.
- B. Create an S3 bucket policy that grants read access to the relevant AWS accounts and denies read access to the principal "*".
- C. Modify the post_build command to use --acl public-read and configure a bucket policy that grants read access to the relevant AWS accounts only.
- D. Configure a default ACL for the S3 bucket that defines the set of authenticated users as the relevant AWS accounts only and grants read-only access.
Antwort: A
Begründung:
When setting the flag authenticated-read in the command line, the owner gets FULL_CONTROL. The AuthenticatedUsers group (Anyone with an AWS account) gets READ access. Reference: https://docs.aws.
amazon.com/AmazonS3/latest/userguide/acl-overview.html
322. Frage
A company's application has an API that retrieves workload metrics. The company needs to audit, analyze, and visualize these metrics from the application to detect issues at scale.
Which combination of steps will meet these requirements? (Select THREE).
- A. Create an Amazon CloudWatch dashboard that has custom widgets that invoke AWS Lambda functions. Configure the Lambda functions to query the workload metrics data from the Amazon Athena views.
- B. Create an AWS Glue crawler to catalog the workload metric data in the Amazon S3 bucket. Create views in Amazon Athena for the cataloged data.
- C. Create Amazon QuickSight datasets from the Amazon Athena views. Create a QuickSight analysis to visualize the workload metric data as a dashboard.
- D. Connect an AWS Glue crawler to the Amazon DynamoDB stream to catalog the workload metric data.
Create views in Amazon Athena for the cataloged data. - E. Configure an Amazon EventBridge schedule to invoke an AWS Lambda function that calls the API to retrieve workload metrics. Store the workload metric data in an Amazon S3 bucket.
- F. Configure an Amazon EventBridge schedule to invoke an AWS Lambda function that calls the API to retrieve workload metrics. Store the workload metric data in an Amazon DynamoDB table that has a DynamoDB stream enabled.
Antwort: B,C,E
Begründung:
Comprehensive and Detailed Explanation From Exact Extract:
The recommended architecture to audit, analyze, and visualize application workload metrics at scale involves:
* UsingAmazon EventBridgeto scheduleAWS Lambdainvocations that call the application API and fetch metrics (Option A). The data is stored inAmazon S3, which is ideal for scalable, cost-effective storage of large datasets.
* Cataloging the stored data withAWS Glue crawlers, enabling schema discovery and making data queryable viaAmazon Athena(Option C).
* Visualizing the data by creatingAmazon QuickSight datasetsfrom Athena views and building dashboards for analysis (Option E).Option B and D introduce DynamoDB, which is less suitable for large-scale analytics and Athena querying. Option F suggests querying Athena via Lambda widgets in CloudWatch, which adds complexity without significant benefit over QuickSight.
Reference:
Serverless Analytics Architecture on AWS:"Use Lambda + S3 + Glue + Athena + QuickSight for scalable data ingestion, cataloging, querying, and visualization."(AWS Analytics Reference Architecture) AWS Glue Crawlers and Athena:"Glue crawlers catalog data stored in S3 and create Athena tables to enable SQL querying."(AWS Glue Documentation) Amazon QuickSight for Visualization:"QuickSight enables creating interactive dashboards from Athena query results."(Amazon QuickSight Overview)
323. Frage
......
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