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| Section | Weight | Objectives |
|---|
| SDLC Automation | 22% | - Design and implement CI/CD pipelines
- 1. Develop CI/CD pipelines considering testing and security requirements
- 2. Implement deployment strategies (blue-green, canary, rolling)
- 3. Design failure handling strategies
- 4. Determine appropriate CI/CD pipeline architecture
- Design build and test environments
- 1. Integrate security scanning and compliance checks
- 2. Design test automation frameworks
- 3. Implement build environments (isolated, reproducible)
- Design and implement source code management strategies
- 1. Implement repository configurations and hooks
- 2. Determine branching strategies
- 3. Design code review and approval processes
|
| Incident and Event Response | 18% | - Design and implement event and incident management
- 1. Implement automated response playbooks
- 2. Design event aggregation and correlation
- 3. Implement automated incident detection
- Design and implement chaos engineering practices
- 1. Implement fault injection experiments (AWS Fault Injection Simulator)
- 2. Analyze system behavior under failure conditions
- 3. Design resilience testing strategies
|
| Monitoring and Logging | 12% | - Design and implement monitoring and observability strategies
- 1. Implement log aggregation and analysis
- 2. Design custom metrics and alarms (Amazon CloudWatch)
- 3. Implement distributed tracing (AWS X-Ray)
- Design and implement alerting and incident management
- 1. Implement automated incident response
- 2. Create alarm notification strategies
- 3. Design runbook automation
|
| Configuration Management and Infrastructure as Code | 22% | - Implement compliance and configuration monitoring
- 1. Design remediation automation
- 2. Use AWS Config for compliance monitoring
- 3. Implement AWS CloudTrail for auditing
- Design and implement infrastructure as code
- 1. Implement modular and reusable infrastructure components
- 2. Design for scalability and repeatability
- 3. Develop IaC templates (AWS CloudFormation, Terraform)
- Design and implement data management strategies
- 1. Implement database migration strategies
- 2. Design backup and recovery solutions
- 3. Implement data lifecycle management
- Design and implement configuration management
- 1. Implement AWS Systems Manager for configuration management
- 2. Design patch management strategies
- 3. Implement parameter management (AWS Parameter Store, Secrets Manager)
|
| High Availability and Disaster Recovery | 16% | - Design and implement high availability and scalability
- 1. Design multi-AZ and multi-region architectures
- 2. Implement auto scaling strategies
- 3. Implement load balancing and traffic management
- Design and implement disaster recovery strategies
- 1. Implement multi-region active-active architectures
- 2. Design RTO and RPO based DR solutions
- 3. Implement pilot light and warm standby architectures
- 4. Implement backup and restore mechanisms
- Implement data backup and restore strategies
- 1. Implement validation testing for backups
- 2. Implement cross-region replication
- 3. Design point-in-time recovery solutions
|
| Policies and Standards Automation | 10% | - Design and implement governance strategies
- 1. Design cost optimization through policies
- 2. Implement tagging policies and resource grouping
- 3. Implement approval workflows and automation
- Design and implement preventive and detective controls
- 1. Design and implement security baselines
- 2. Implement drift detection and remediation
- 3. Implement AWS Organizations and SCPs
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q382-Q387):
NEW QUESTION # 382
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. 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.
- B. 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
- C. Enable server access logging on the S3 bucket. Create an S3 event notification on the S3 bucket for s3. ObjectTaggIng.* events
- 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
Answer: D
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.
Reference:
S3 event notifications
Server access logging
Amazon EventBridge rules
AWS CloudTrail
NEW QUESTION # 383
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. 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.
- B. 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.
- C. In the organization's management account, enable the logging policies for the organization.
- D. In the monitoring account, attach the CloudWatchLogsReadOnlyAccess AWS managed policy to an IAM role that can be assumed to search the logs.
- 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. 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.
Answer: B,D,E
Explanation:
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.
References: 1: Cross-account log data sharing with subscriptions 2: Create an IAM role for CloudWatch Logs in each sharing account 3: AWS CloudFormation StackSets 4: Create an IAM role for CloudWatch Logs in your monitoring account 5: CloudWatchLogsReadOnlyAccess policy
NEW QUESTION # 384
A DevOps engineer is setting up a container-based architecture. The engineer has decided to use AWS CloudFormation to automatically provision an Amazon ECS cluster and an Amazon EC2 Auto Scaling group to launch the EC2 container instances. After successfully creating the CloudFormation stack, the engineer noticed that, even though the ECS cluster and the EC2 instances were created successfully and the stack finished the creation, the EC2 instances were associating with a different cluster.
How should the DevOps engineer update the CloudFormation template to resolve this issue?
- A. Reference the ECS cluster in the AWS:EC2: lnstance resource of the UserData property.
- B. Reference the EC2 instances in the AWS: ECS: Cluster resource and reference the ECS cluster in the AWS: ECS: Service resource.
- C. Reference the ECS cluster in the AWS: AutoScaling: LaunchConfiguration resource of the UserData property.
- D. Reference the ECS cluster in the AWS: CloudFormation: CustomResource resource to trigger an AWS Lambda function that registers the EC2 instances with the appropriate ECS cluster.
Answer: C
Explanation:
The UserData property of the AWS: AutoScaling: LaunchConfiguration resource can be used to specify a script that runs when the EC2 instances are launched. This script can include the ECS cluster name as an environment variable for the ECS agent running on the EC2 instances. This way, the EC2 instances will register with the correct ECS cluster. Option A is incorrect because the AWS: ECS: Cluster resource does not have a property to reference the EC2 instances. Option C is incorrect because the EC2 instances are launched by the Auto Scaling group, not by the AWS: EC2: Instance resource. Option D is incorrect because using a custom resource and a Lambda function is unnecessary and overly complex for this scenario. Reference: AWS::AutoScaling::LaunchConfiguration, Amazon ECS Container Agent Configuration
NEW QUESTION # 385
A DevOps engineer manages a company's Amazon Elastic Container Service (Amazon ECS) cluster. The cluster runs on several Amazon EC2 instances that are in an Auto Scaling group. The DevOps engineer must implement a solution that logs and reviews all stopped tasks for errors.
Which solution will meet these requirements?
- A. Configure tasks to write log data in the embedded metric format. Store the logs in Amazon CloudWatch Logs. Monitor the ContainerInstanceCount metric for changes.
- B. Create an Amazon EventBridge rule to capture task state changes. Send the event to Amazon CloudWatch Logs. Use CloudWatch Logs Insights to investigate stopped tasks.
- C. Configure the EC2 instances to store logs in Amazon CloudWatch Logs. Create a CloudWatch Contributor Insights rule that uses the EC2 instance log data. Use the Contributor Insights rule to investigate stopped tasks.
- D. Configure an EC2 Auto Scaling lifecycle hook for the EC2_INSTANCE_TERMINATING scale-in event. Write the SystemEventLog file to Amazon S3. Use Amazon Athena to query the log file for errors.
Answer: B
Explanation:
The best solution to log and review all stopped tasks for errors is to use Amazon EventBridge and Amazon CloudWatch Logs. Amazon EventBridge allows the DevOps engineer to create a rule that matches task state change events from Amazon ECS. The rule can then send the event data to Amazon CloudWatch Logs as the target. Amazon CloudWatch Logs can store and monitor the log data, and also provide CloudWatch Logs Insights, a feature that enables the DevOps engineer to interactively search and analyze the log data. Using CloudWatch Logs Insights, the DevOps engineer can filter and aggregate the log data based on various fields, such as cluster, task, container, and reason. This way, the DevOps engineer can easily identify and investigate the stopped tasks and their errors.
The other options are not as effective or efficient as the solution in option A. Option B is not suitable because the embedded metric format is designed for custom metrics, not for logging task state changes. Option C is not feasible because the EC2 instances do not store the task state change events in their logs. Option D is not relevant because theEC2_INSTANCE_TERMINATING lifecycle hook is triggered when an EC2 instance is terminated by the Auto Scaling group, not when a task is stopped by Amazon ECS.
References:
* : Creating a CloudWatch Events Rule That Triggers on an Event - Amazon Elastic Container Service
* : Sending and Receiving Events Between AWS Accounts - Amazon EventBridge
* : Working with Log Data - Amazon CloudWatch Logs
* : Analyzing Log Data with CloudWatch Logs Insights - Amazon CloudWatch Logs
* : Embedded Metric Format - Amazon CloudWatch
* : Amazon EC2 Auto Scaling Lifecycle Hooks - Amazon EC2 Auto Scaling
NEW QUESTION # 386
A company uses AWS Key Management Service (AWS KMS) keys and manual key rotation to meet regulatory compliance requirements. The security team wants to be notified when any keys have not been rotated after 90 days.
Which solution will accomplish this?
- A. Develop an AWS Config custom rule that publishes to an Amazon Simple Notification Service (Amazon SNS) topic when keys are more than 90 days old.
- B. Configure AWS Security Hub to publish to an Amazon Simple Notification Service (Amazon SNS) topic when keys are more than 90 days old.
- C. Configure AWS KMS to publish to an Amazon Simple Notification Service (Amazon SNS) topic when keys are more than 90 days old.
- D. Configure an Amazon EventBridge event to launch an AWS Lambda function to call the AWS Trusted Advisor API and publish to an Amazon Simple Notification Service (Amazon SNS) topic.
Answer: A
Explanation:
Explanation
https://aws.amazon.com/blogs/security/how-to-use-aws-config-to-determine-compliance-of-aws-kms-key-policie
NEW QUESTION # 387
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