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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: SDLC Automation | 22% | - Design and implement CI/CD pipelines
|
| Topic 2: Configuration Management and Infrastructure as Code | 22% | - Design and implement infrastructure as code
|
| Topic 3: Monitoring and Logging | 12% | - Design and implement monitoring and observability strategies
|
| Topic 4: Incident and Event Response | 18% | - Design and implement chaos engineering practices
|
| Topic 5: Policies and Standards Automation | 10% | - Design and implement governance strategies
|
| Topic 6: High Availability and Disaster Recovery | 16% | - Design and implement high availability and scalability
|
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NEW QUESTION # 45
A company has an organization in AWS Organizations for its multi-account environment. A DevOps engineer is developing an AWS CodeArtifact based strategy for application package management across the organization. Each application team at the company has its own account in the organization. Each application team also has limited access to a centralized shared services account.
Each application team needs full access to download, publish, and grant access to its own packages. Some common library packages that the application teams use must also be shared with the entire organization.
Which combination of steps will meet these requirements with the LEAST administrative overhead? (Select THREE.)
Answer: B,D,E
Explanation:
Step 1: Creating a Centralized Domain in the Shared Services Account
To manage application package dependencies across multiple accounts, the most efficient solution is to create a centralized domain in the shared services account. This allows all application teams to access and manage package repositories within the same domain, ensuring consistency and centralization.
Action: Create a domain in the shared services account.
Why: A single, centralized domain reduces the need for redundant management in each application team's account.
Reference: AWS documentation on AWS CodeArtifact domains and repositories.
This corresponds to Option B: Create a domain in the shared services account. Grant the organization read access and CreateRepository access.
Step 2: Sharing Repositories Across Teams with Upstream ConfigurationsTo share common library packages across the organization, each application team's repository can point to the shared services repository as an upstream repository. This enables teams to access shared packages without managing them individually in each team's account.
Action: Create a repository in the shared services account and set it as the upstream repository for each application team.
Why: Upstream repositories allow package sharing while maintaining individual team repositories for managing their own packages.
Reference: AWS documentation on Upstream repositories in CodeArtifact.
This corresponds to Option D: Create a repository in the shared services account. Grant the organization read access to the repository in the shared services account. Set the repository as the upstream repository in each application team's repository.
Step 3: Using Resource-Based Policies for Cross-Account AccessFor teams that need to share their packages with other application teams, resource-based policies can be applied to grant the necessary permissions. These policies allow cross-account access without having to manage permissions at the individual account level.
Action: Create resource-based policies that allow read access to the repositories across application teams.
Why: This simplifies management by centralizing permissions in the shared services account while allowing cross-team collaboration.
Reference: AWS documentation on CodeArtifact resource-based policies.
This corresponds to Option E: For teams that require shared packages, create resource-based policies that allow read access to the repository from other application teams' accounts.
NEW QUESTION # 46
A company's security team requires that all external Application Load Balancers (ALBs) and Amazon API Gateway APIs are associated with AWS WAF web ACLs. The company has hundreds of AWS accounts, all of which are included in a single organization in AWS Organizations. The company has configured AWS Config for the organization. During an audit, the company finds some externally facing ALBs that are not associated with AWS WAF web ACLs.
Which combination of steps should a DevOps engineer take to prevent future violations? (Choose two.)
Answer: C,E
Explanation:
If instead you want to automatically apply the policy to existing in-scope resources, choose Auto remediate any noncompliant resources. This option creates a web ACL in each applicable account within the AWS organization and associates the web ACL with the resources in the accounts. When you choose Auto remediate any noncompliant resources, you can also choose to remove existing web ACL associations from in-scope resources, for the web ACLs that aren't managed by another active Firewall Manager policy. If you choose this option, Firewall Manager first associates the policy's web ACL with the resources, and then removes the prior associations. If a resource has an association with another web ACL that's managed by a different active Firewall Manager policy, this choice doesn't affect that association.
NEW QUESTION # 47
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?
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.
References:
AWS CodeDeploy Deployment Configurations
[AWS CodeDeploy Rollbacks]
Amazon CloudWatch Alarms
NEW QUESTION # 48
A DevOps engineer is working on a data archival project that requires the migration of on-premises data to an Amazon S3 bucket. The DevOps engineer develops a script that incrementally archives on-premises data that is older than 1 month to Amazon S3. Data that is transferred to Amazon S3 is deleted from the on-premises location The script uses the S3 PutObject operation.
During a code review the DevOps engineer notices that the script does not verity whether the data was successfully copied to Amazon S3. The DevOps engineer must update the script to ensure that data is not corrupted during transmission. The script must use MD5 checksums to verify data integrity before the on-premises data is deleted.
Which solutions for the script will meet these requirements'? (Select TWO.)
Answer: B,E
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonS3/latest/userguide/checking-object-integrity.html
NEW QUESTION # 49
A company has an application that runs on a fleet of Amazon EC2 instances. The application requires frequent restarts. The application logs contain error messages when a restart is required. The application logs are published to a log group in Amazon CloudWatch Logs.
An Amazon CloudWatch alarm notifies an application engineer through an Amazon Simple Notification Service (Amazon SNS) topic when the logs contain a large number of restart-related error messages. The application engineer manually restarts the application on the instances after the application engineer receives a notification from the SNS topic.
A DevOps engineer needs to implement a solution to automate the application restart on the instances without restarting the instances.
Which solution will meet these requirements in the MOST operationally efficient manner?
Answer: C
NEW QUESTION # 50
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