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| Section | Weight | Objectives |
|---|
| Topic 1: SDLC Automation | 22% | - Implement CI/CD pipelines
- 1. Integrate version control systems
- 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
- 3. Automate build, test, and deployment stages
- Automate testing and validation
- 1. Automate quality gates
- 2. Unit, integration, and performance testing
- 3. Security and compliance testing
- Automate software release processes
- 1. Manage artifacts and dependencies
- 2. Implement deployment strategies
- 3. Automate rollback procedures
|
| Topic 2: Security, Governance, and Compliance | 17% | - Enforce governance and compliance
- 1. Manage access and permissions at scale
- 2. Use AWS Config and AWS Organizations
- 3. Implement compliance rules and audits
- Implement security controls
- 1. Encrypt data at rest and in transit
- 2. Manage IAM for pipelines and environments
- 3. Secure secrets and credentials
- Automate security and compliance
- 1. Use AWS Security Hub and AWS Shield
- 2. Detect and remediate violations automatically
- 3. Integrate security into CI/CD pipelines
|
| Topic 3: Incident and Event Response | 14% | - Manage incidents and outages
- 1. Coordinate response and recovery
- 2. Troubleshoot complex issues
- 3. Document and learn from events
- Improve operational processes
- 1. Implement feedback loops
- 2. Update runbooks and playbooks
- 3. Optimize response time and efficiency
- Automate event management
- 1. Classify and prioritize events
- 2. Integrate with ticketing and workflow systems
- 3. Automate common operational tasks
|
| Topic 4: 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 logging and analysis
- 1. Centralize logs with CloudWatch Logs
- 2. Use AWS X-Ray for tracing
- 3. Analyze logs for troubleshooting and security
- Implement monitoring solutions
- 1. Use Amazon CloudWatch for metrics and alarms
- 2. Create dashboards and insights
- 3. Monitor infrastructure, applications, and costs
|
| Topic 5: Resilient Cloud Solutions | 15% | - Implement disaster recovery
- 1. Backup and restore strategies
- 2. Test and validate recovery plans
- 3. Pilot light, warm standby, and active-active
- 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. Optimize performance and cost
- 2. Manage capacity and elasticity
- 3. Design for fault tolerance
|
| Topic 6: Configuration Management and Infrastructure as Code | 17% | - Automate configuration management
- 1. Maintain consistent configurations
- 2. Use AWS Systems Manager, Ansible, or Puppet
- 3. Detect and remediate configuration drift
- Implement infrastructure as code
- 1. Manage templates and stacks
- 2. Enforce configuration standards
- 3. Use AWS CloudFormation, Terraform, or AWS CDK
- Manage infrastructure deployments
- 1. Provision and update resources automatically
- 2. Implement version control for configurations
- 3. Manage multi-account and multi-region environments
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q194-Q199):
NEW QUESTION # 194
An ecommerce company is receiving reports that its order history page is experiencing delays in reflecting the processing status of orders. The order processing system consists of an AWS Lambda function that uses reserved concurrency. The Lambda function processes order messages from an Amazon Simple Queue Service (Amazon SQS) queue and inserts processed orders into an Amazon DynamoDB table. The DynamoDB table has auto scaling enabled for read and write capacity.
Which actions should a DevOps engineer take to resolve this delay? (Choose two.)
- A. Check the Throttles metric for the Lambda function. Increase the Lambda function timeout.
- B. Check the ApproximateAgeOfOldestMessage metric for the SQS queue. Increase the Lambda function concurrency limit.
- C. Check the NumberOfMessagesSent metric for the SQS queue. Increase the SQS queue visibility timeout.
- D. Check the WriteThrottleEvents metric for the DynamoDB table. Increase the maximum write capacity units (WCUs) for the table's scaling policy.
- E. Check the ApproximateAgeOfOldestMessage metnc for the SQS queue Configure a redrive policy on the SQS queue.
Answer: B,D
Explanation:
Explanation
A: If the ApproximateAgeOfOldestMessages indicate that orders are remaining in the SQS queue for longer than expected, the reserved concurrency limit may be set too small to keep up with the number of orders entering the queue and is being throttled. D: The DynamoDB table is using Auto Scaling. With Auto Scaling, you create a scaling policy that specifies whether you want to scale read capacity or write capacity (or both), and the minimum and maximum provisioned capacity unit settings for the table. The ThottledWriteRequests metric will indicate if there is a throttling issue on the DynamoDB table, which can be resolved by increasing the maximum write capacity units for the table's Auto Scaling policy.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/AutoScaling.html
NEW QUESTION # 195
A company wants to use AWS development tools to replace its current bash deployment scripts. The company currently deploys a LAMP application to a group of Amazon EC2 instances behind an Application Load Balancer (ALB). During the deployments, the company unit tests the committed application, stops and starts services, unregisters and re-registers instances with the load balancer, and updates file permissions. The company wants to maintain the same deployment functionality through the shift to using AWS services.
Which solution will meet these requirements?
- A. Use AWS CodePipeline to move the application from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy's deployment group to test the application, unregister and re-register instances with the ALB. and restart services. Use the appspec.yml file to update file permissions without a custom script.
- B. Use AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services, and deregister and register instances with the ALB. Use the appspec.yml file to update file permissions without a custom script.
- C. Use AWS CodePipeline to move the application source code from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy to test the application. Use CodeDeploy's appspec.yml file to restart services and update permissions without a custom script. Use AWS CodeBuild to unregister and re-register instances with the ALB.
- D. Use AWS CodePipeline to trigger AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services. Unregister and re-register the instances in the AWS CodeDeploy deployment group with the ALB. Update the appspec.yml file to update file permissions without a custom script.
Answer: D
Explanation:
Explanation
https://aws.amazon.com/blogs/devops/how-to-test-and-debug-aws-codedeploy-locally-before-you-ship-your-cod
NEW QUESTION # 196
A growing company manages more than 50 accounts in an organization in AWS Organizations. The company has configured its applications to send logs to Amazon CloudWatch Logs.
A DevOps engineer needs to aggregate logs so that the company can quickly search the logs to respond to future security incidents. The DevOps engineer has created a new AWS account for centralized monitoring.
Which combination of steps should the DevOps engineer take to make the application logs searchable from the monitoring account? (Select THREE.)
- A. In the monitoring account, download an AWS CloudFormation template from CloudWatch to use in Organizations. Use CloudFormation StackSets in the organization's management account to deploy the CloudFormation template to the entire organization.
- B. In the monitoring account, attach the CloudWatchLogsReadOnlyAccess AWS managed policy to an IAM role that can be assumed to search the logs.
- C. use CloudWatch Observability Access Manager in the monitoring account to create a sink. Allow logs to be shared with the monitoring account. Configure the monitoring account data selection to view the Observability data from the organization ID.
- D. In the organization's management account, enable the logging policies for the organization.
- E. Create an AWS CloudFormation template that defines an IAM role. Configure the role to allow logs-amazonaws.com to perform the logs:Link action if the aws:ResourceAccount property is equal to the monitoring account ID. Use CloudFormation StackSets in the organization's management account to deploy the CloudFormation template to the entire organization.
- F. Create an IAM role in the monitoring account. Attach a trust policy that allows logs.amazonaws.com to perform the iam:CreateSink action if the aws:PrincipalOrgld property is equal to the organization ID.
Answer: B,E,F
Explanation:
To aggregate logs from multiple accounts in an organization, the DevOps engineer needs to create a cross-account subscription1 that allows the monitoring account to receive log events from the sharing accounts.
To enable cross-account subscription, the DevOps engineer needs to create an IAM role in each sharing account that grants permission to CloudWatch Logs to link the log groups to the destination in the monitoring account2. This can be done using a CloudFormation template and StackSets3 to deploy the role to all accounts in the organization.
The DevOps engineer also needs to create an IAM role in the monitoring account that allows CloudWatch Logs to create a sink for receiving log events from other accounts4. The role must have a trust policy that specifies the organization ID as a condition.
Finally, the DevOps engineer needs to attach the CloudWatchLogsReadOnlyAccess policy5 to an IAM role in the monitoring account that can be used to search the logs from the cross-account subscription.
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 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.
- B. 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.
- C. 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. - D. 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.
Answer: B
Explanation:
The correct answer is C. Configuring AWS CloudTrail to send log data events to an Amazon CloudWatch Logs log group and creating a CloudWatch logs metric filter to match failed ConsoleLogin events is the simplest and most efficient way to monitor and alert on failed login attempts. Creating a CloudWatch alarm that is based on the metric filter and configuring an alarm action to send messages to the SNS topic will ensure that the security team is notified when multiple failed login attempts occur. This solution requires the least operational effort compared to the other options.
Option A is incorrect because it involves configuring AWS CloudTrail to send log management events instead of log data events. Log management events are used to track changes to CloudTrail configuration, such as creating, updating, or deleting a trail. Log data events are used to track API activity in AWS accounts, such as login attempts. Therefore, option A will not capture the failed ConsoleLogin events.
Option B is incorrect because it involves creating an Amazon Athena query and two Amazon EventBridge rules to monitor and alert on failed login attempts. This is a more complex and costly solution than using CloudWatch logs and alarms. Moreover, option B relies on the query returning a failure, which may not happen if the query is executed successfully but does not find any failed logins.
Option D is incorrect because it involves configuring AWS CloudTrail to send log data events to an Amazon S3 bucket and configuring an Amazon S3 event notification for the s3:ObjectCreated event type. This solution will not work because the s3:ObjectCreated event type does not allow filtering by ConsoleLogin failed events. The event notification will be triggered for any object created in the S3 bucket, regardless of the event type. Therefore, option D will generate a lot of false positives and unnecessary notifications.
References:
* AWS CloudTrail Log File Examples
* Creating CloudWatch Alarms for CloudTrail Events: Examples
* Monitoring CloudTrail Log Files with Amazon CloudWatch Logs
NEW QUESTION # 198
A company has a web application that runs on AWS. The web tier uses an Amazon Elastic Container Service (Amazon ECS) deployment with the Fargate launch type behind an Application Load Balancer (ALB) and Amazon Route 53. The application uses an Amazon Keyspaces (for Apache Cassandra) database. The company stores container images in Amazon Elastic Container Registry (Amazon ECR). New image versions are pushed regularly.
The company needs to implement a multi-Region recovery strategy with automatic failover to a secondary Region.
Which solution will meet these requirements?
- A. Configure Amazon ECR private image replication to a new ECR private registry in the secondary Region. Configure Amazon Keyspaces point-in-time recovery to copy to the secondary Region. Create an ALB and a new Fargate service with the desired count set to 0 in the secondary Region. Create new Route 53 DNS records that use a weighted routing policy.
- B. Configure Amazon ECR private image replication to a new ECR private registry in the secondary Region. Configure Amazon Keyspaces multi-Region replication to the secondary Region. Create an ALB and a new Fargate service with the desired count set to 0 in the secondary Region. Create new Route 53 DNS records that use a weighted routing policy.
- C. Copy the current Amazon ECR private images to a new ECR private registry in the secondary Region.
Configure Amazon Keyspaces multi-Region replication to the secondary Region. Create an ALB and a new Fargate service with the desired count set to 1 in the secondary Region. Create new Route 53 DNS records that use a failover routing policy. - D. Configure Amazon ECR private image replication to a new ECR private registry in the secondary Region. Configure Amazon Keyspaces multi-Region replication to the secondary Region. Create an ALB and a new Fargate service with the desired count set to 1 in the secondary Region. Create new Route 53 DNS records that use a failover routing policy.
Answer: D
Explanation:
For automatic failover to a secondary Region, several conditions must be met. Amazon Keyspaces multi- Region replication provides continuous, near-real-time data replication across Regions, ensuring data is available in the secondary Region without manual intervention, unlike point-in-time recovery. ECR private image replication automatically keeps container images synchronized to the secondary Region registry.
Setting the Fargate service desired count to 1 in the secondary Region creates a warm standby that can immediately accept traffic during failover, unlike desired count of 0 which would require scale-up time. Route
53 failover routing policy combined with ALB health checks automatically redirects DNS traffic to the secondary Region when the primary becomes unhealthy. A weighted routing policy does not support automatic failover behavior. Option C uses a manual image copy rather than automated replication, making it unsuitable for continuous DR.
NEW QUESTION # 199
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