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| Section | Weight | Objectives |
|---|
| SDLC Automation | 22% | - Design and implement source code management strategies
- 1. Determine branching strategies
- 2. Design code review and approval processes
- 3. Implement repository configurations and hooks
- Design build and test environments
- 1. Design test automation frameworks
- 2. Implement build environments (isolated, reproducible)
- 3. Integrate security scanning and compliance checks
- Design and implement CI/CD pipelines
- 1. Determine appropriate CI/CD pipeline architecture
- 2. Implement deployment strategies (blue-green, canary, rolling)
- 3. Design failure handling strategies
- 4. Develop CI/CD pipelines considering testing and security requirements
|
| Configuration Management and Infrastructure as Code | 22% | - Design and implement data management strategies
- 1. Implement database migration strategies
- 2. Implement data lifecycle management
- 3. Design backup and recovery solutions
- Design and implement configuration management
- 1. Implement parameter management (AWS Parameter Store, Secrets Manager)
- 2. Implement AWS Systems Manager for configuration management
- 3. Design patch management strategies
- 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)
- Implement compliance and configuration monitoring
- 1. Use AWS Config for compliance monitoring
- 2. Design remediation automation
- 3. Implement AWS CloudTrail for auditing
|
| High Availability and Disaster Recovery | 16% | - Implement data backup and restore strategies
- 1. Design point-in-time recovery solutions
- 2. Implement validation testing for backups
- 3. Implement cross-region replication
- Design and implement disaster recovery strategies
- 1. Design RTO and RPO based DR solutions
- 2. Implement multi-region active-active architectures
- 3. Implement pilot light and warm standby architectures
- 4. Implement backup and restore mechanisms
- Design and implement high availability and scalability
- 1. Implement load balancing and traffic management
- 2. Design multi-AZ and multi-region architectures
- 3. Implement auto scaling strategies
|
| Policies and Standards Automation | 10% | - Design and implement governance strategies
- 1. Implement approval workflows and automation
- 2. Design cost optimization through policies
- 3. Implement tagging policies and resource grouping
- Design and implement preventive and detective controls
- 1. Design and implement security baselines
- 2. Implement AWS Organizations and SCPs
- 3. Implement drift detection and remediation
|
| Monitoring and Logging | 12% | - Design and implement monitoring and observability strategies
- 1. Design custom metrics and alarms (Amazon CloudWatch)
- 2. Implement distributed tracing (AWS X-Ray)
- 3. Implement log aggregation and analysis
- Design and implement alerting and incident management
- 1. Implement automated incident response
- 2. Create alarm notification strategies
- 3. Design runbook automation
|
| Incident and Event Response | 18% | - Design and implement chaos engineering practices
- 1. Design resilience testing strategies
- 2. Implement fault injection experiments (AWS Fault Injection Simulator)
- 3. Analyze system behavior under failure conditions
- Design and implement event and incident management
- 1. Design event aggregation and correlation
- 2. Implement automated response playbooks
- 3. Implement automated incident detection
|
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q66-Q71):
NEW QUESTION # 66
A company's DevOps team manages a set of AWS accounts that are in an organization in AWS Organizations The company needs a solution that ensures that all Amazon EC2 instances use approved AMIs that the DevOps team manages. The solution also must remediate the usage of AMIs that are not approved The individual account administrators must not be able to remove the restriction to use approved AMIs.
Which solution will meet these requirements?
- A. Use AWS CloudFormation StackSets to deploy the approved-amis-by-id AWS Config managed rule to each account. Configure the rule with the list of approved AMIs. Configure the rule to run the the AWS- StopEC2lnstance AWS Systems Manager Automation runbook for the noncompliant EC2 instances.
- B. Create an AWS Lambda function that processes AWS CloudTrail events for Amazon EC2 Configure the Lambda function to send a notification to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the DevOps team to the SNS topic. Deploy the Lambda function in each account in the organization Create an Amazon EventBridge rule in each account Configure the EventBridge rules to react to AWS CloudTrail events for Amazon EC2 and to invoke the Lambda function.
- C. Use AWS CloudFormation StackSets to deploy an Amazon EventBridge rule to each account.
Configure the rule to react to AWS CloudTrail events for Amazon EC2 and to send a notification to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the DevOps team to the SNS topic - D. Enable AWS Config across the organization Create a conformance pack that uses the approved -amis- by-id AWS Config managed rule with the list of approved AMIs. Deploy the conformance pack across the organization. Configure the rule to run the AWS-StopEC2lnstance AWS Systems Manager Automation runbook for the noncompliant EC2 instances.
Answer: D
Explanation:
* Enable AWS Config Across the Organization:
* AWS Config provides a detailed view of the configuration of AWS resources in your AWS account. It can be used to assess, audit, and evaluate the configurations of your resources.
* Enabling AWS Config across the organization ensures that all accounts are monitored for compliance.
* Create a Conformance Pack Using theapproved-amis-by-idAWS Config Managed Rule:
* A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed across an organization.
* Theapproved-amis-by-idmanaged rule checks whether running instances are using approved AMIs.
* Deploy the Conformance Pack Across the Organization:
* Deploying the conformance pack across the organization ensures that all accounts adhere to the policy of using only approved AMIs.
* The conformance pack can be deployed via the AWS Management Console, CLI, or SDKs.
* Configure the Rule to Run theAWS-StopEC2InstanceAWS Systems Manager Automation Runbook for Non-Compliant EC2 Instances:
* TheAWS-StopEC2Instancerunbook can be configured to automatically stop any EC2 instances that are found to be non-compliant (i.e., not using approved AMIs).
* This remediation action ensures that any unauthorized instances are promptly stopped, enforcing the policy without manual intervention.
By following these steps, the solution ensures that all EC2 instances across the organization use approved AMIs, and any non-compliant instances are remediated automatically.
References:
* AWS Config Conformance Packs
* AWS Config Managed Rules
* AWS Systems Manager Automation Runbooks
NEW QUESTION # 67
A company needs to update its order processing application to improve resilience and availability. The application requires a stateful database and uses a single-node Amazon RDS DB instance to store customer orders and transaction history. A DevOps engineer must make the database highly available.
Which solution will meet this requirement?
- A. Use the RDS DB instance as the source instance to create read replicas in multiple Availability Zones.
Deploy an Application Load Balancer to distribute read traffic across the read replicas. - B. Modify the RDS DB instance to be a Multi-AZ deployment. Verify automatic failover to the standby instance if the primary instance becomes unavailable.
- C. Migrate the database to Amazon DynamoDB global tables. Configure automatic failover between AWS Regions by using Amazon Route 53 health checks.
- D. Migrate the database to Amazon EC2 instances in multiple Availability Zones. Use Amazon Elastic Block Store (Amazon EBS) Mult-Attach to connect all the instances to a single EBS volume.
Answer: B
NEW QUESTION # 68
A production account has a requirement that any Amazon EC2 instance that has been logged in to manually must be terminated within 24 hours. All applications in the production account are using Auto Scaling groups with the Amazon CloudWatch Logs agent configured.
How can this process be automated?
- A. Create a CloudWatch Logs subscription to an AWS Step Functions application. Configure an AWS Lambda function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned. Create an Amazon EventBridge rule to invoke a second Lambda function once a day that will terminate all instances with this tag.
- B. Create an Amazon CloudWatch alarm that will be invoked by the login event. Send the notification to an Amazon Simple Notification Service (Amazon SNS) topic that the operations team is subscribed to, and have them terminate the EC2 instance within 24 hours.
- C. Create an Amazon CloudWatch alarm that will be invoked by the login event. Configure the alarm to send to an Amazon Simple Queue Service (Amazon SQS) queue. Use a group of worker instances to process messages from the queue, which then schedules an Amazon EventBridge rule to be invoked.
- D. Create a CloudWatch Logs subscription to an AWS Lambda function. Configure the function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned.Create an Amazon EventBridge rule to invoke a daily Lambda function that terminates all instances with this tag.
Answer: D
Explanation:
"You can use subscriptions to get access to a real-time feed of log events from CloudWatch Logs and have it delivered to other services such as an Amazon Kinesis stream, an Amazon Kinesis Data Firehose stream, or AWS Lambda for custom processing, analysis, or loading to other systems. When log events are sent to the receiving service, they are Base64 encoded and compressed with the gzip format." Seehttps://docs.aws.
amazon.com/AmazonCloudWatch/latest/logs/Subscriptions.html
NEW QUESTION # 69
To run an application, a DevOps engineer launches an Amazon EC2 instance with public IP addresses in a public subnet. A user data script obtains the application artifacts and installs them on the instances upon launch. A change to the security classification of the application now requires the instances to run with no access to the internet. While the instances launch successfully and show as healthy, the application does not seem to be installed.
Which of the following should successfully install the application while complying with the new rule?
- A. Launch the instances in a public subnet with Elastic IP addresses attached. Once the application is installed and running, run a script to disassociate the Elastic IP addresses afterwards.
- B. Publish the application artifacts to an Amazon S3 bucket and create a VPC endpoint for S3. Assign an IAM instance profile to the EC2 instances so they can read the application artifacts from the S3 bucket.
- C. Create a security group for the application instances and allow only outbound traffic to the artifact repository. Remove the security group rule once the install is complete.
- D. Set up a NAT gateway. Deploy the EC2 instances to a private subnet. Update the private subnet's route table to use the NAT gateway as the default route.
Answer: B
Explanation:
EC2 instances running in private subnets of a VPC can now have controlled access to S3 buckets, objects, and API functions that are in the same region as the VPC. You can use an S3 bucket policy to indicate which VPCs and which VPC Endpoints have access to your S3 buckets 1- https://aws.amazon.com/pt/blogs/aws
/new-vpc-endpoint-for-amazon-s3/
NEW QUESTION # 70
A DevOps team uses AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy to deploy an application. The application is a REST API that uses AWS Lambda functions and Amazon API Gateway Recent deployments have introduced errors that have affected many customers.
The DevOps team needs a solution that reverts to the most recent stable version of the application when an error is detected. The solution must affect the fewest customers possible.
Which solution Will meet these requirements With the MOST operational efficiency?
- A. Set the deployment configuration in CodeDepIoy to LambdaAlIAtOnce Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold
- B. Set the deployment configuration in CodeDeploy to LambdaCanary10Percent10Minutes. Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold
- C. Set the deployment configuration in CodeDeploy to LambdaAllAtOnce Configure manual rollbacks on the deployment group. Create an Amazon Simple Notification Service (Amazon SNS) topc to send notifications every time a deployrnent fads. Configure the SNS topc to Invoke a new Lambda function that stops the current deployment and starts the most recent successful deployment
- D. Set the deployment configuration in CodeDeploy to LambdaCanaryIOPercentIOMinutes Configure manual rollbacks on the deployment group Create a metric filter on an Amazon CloudWatch log group for API Gateway to monitor HTTP Bad Gateway errors. Configure the metric filter to Invoke a new Lambda function that stops the current eployment and starts the most recent successful deployment
Answer: B
Explanation:
Option A is incorrect because setting the deployment configuration to LambdaAllAtOnce means that the new version of the application will be deployed to all Lambda functions at once, affecting all customers. This does not meet the requirement of affecting the fewest customers possible. Moreover, configuring automatic rollbacks on the deployment group is not operationally efficient, as it requires manual intervention to fix the errors and redeploy the application.
Option B is correct because setting the deployment configuration to LambdaCanary10Percent10Minutes means that the new version of the application will be deployed to 10 percent of the Lambda functions first, and then to the remaining 90 percent after 10 minutes. This minimizes the impact of errors on customers, as only 10 percent of them will be affected by a faulty deployment. Configuring automatic rollbacks on the deployment group also meets the requirement of reverting to the most recent stable version of the application when an error is detected. Creating a CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway is a valid way to monitor the health of the application and trigger a rollback if needed.
Option C is incorrect because setting the deployment configuration to LambdaAllAtOnce means that the new version of the application will be deployed to all Lambda functions at once, affecting all customers. This does not meet the requirement of affecting the fewest customers possible. Moreover, configuring manual rollbacks on the deployment group is not operationally efficient, as it requires human intervention to stop the current deployment and start a new one. Creating an SNS topic to send notifications every time a deployment fails is not sufficient to detect errors in the application, as it does not monitor the API Gateway responses.
Option D is incorrect because configuring manual rollbacks on the deployment group is not operationally efficient, as it requires human intervention to stop the current deployment and start a new one. Creating a metric filter on a CloudWatch log group for API Gateway to monitor HTTP Bad Gateway errors is a valid way to monitor the health of the application, but invoking a new Lambda function to perform a rollback is unnecessary and complex, as CodeDeploy already provides automatic rollback functionality.
Reference:
AWS CodeDeploy Deployment Configurations
[AWS CodeDeploy Rollbacks]
Amazon CloudWatch Alarms
NEW QUESTION # 71
......
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