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| Section | Weight | Objectives |
|---|---|---|
| SDLC Automation | 22% | - CI/CD pipeline design and implementation
|
| Security and Compliance Automation | 13% | - Security automation in CI/CD and infrastructure
|
| Incident and Event Management | 18% | - Operational response and recovery
|
| Monitoring and Logging | 15% | - Observability and metrics
|
| Resilient Cloud Solutions | 15% | - High availability and fault tolerance design
|
| Configuration Management and Infrastructure as Code | 17% | - Infrastructure provisioning and automation
|
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NEW QUESTION # 144
A development team manually builds a local artifact. The development team moves the artifact to an Amazon S3 bucket to support an application. The application has a local cache that must be cleared when the development team deploys the application to Amazon EC2 instances. For each deployment, the development team runs a command to clear the cache, download the artifact from the S3 bucket, and unzip the artifact to complete the deployment.
The development team wants to migrate the deployment process to a CI/CD process and to track the progress of each deployment.
Which combination of actions will meet these requirements with the MOST operational efficiency? (Select THREE.)
Answer: A,D,E
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:
Use CodePipeline with a Git source to orchestrate the flow, CodeBuild to produce versioned artifacts in S3, and CodeDeploy to EC2 with lifecycle hooks (e.g., BeforeInstall) to run cache-clearing and unpack steps. This gives end-to-end visibility, rollbacks, and standardized deployments.
NEW QUESTION # 145
A company's application teams use AWS CodeCommit repositories for their applications. The application teams have repositories in multiple AWS accounts. All accounts are in an organization in AWS Organizations.
Each application team uses AWS IAM Identity Center (AWS Single Sign-On) configured with an external IdP to assume a developer IAM role. The developer role allows the application teams to use Git to work with the code in the repositories.
A security audit reveals that the application teams can modify the main branch in any repository. A DevOps engineer must implement a solution that allows the application teams to modify the main branch of only the repositories that they manage.
Which combination of steps will meet these requirements? (Select THREE.)
Answer: A,C,D
Explanation:
Short To meet the requirements, the DevOps engineer should update the SAML assertion to pass the user's team name, update the IAM role's trust policy to add an access-team session tag that has the team name, create an IAM permissions boundary in each account, and for each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.
Reference:
Updating the SAML assertion to pass the user's team name allows the DevOps engineer to use IAM tags to identify which team a user belongs to. This can help enforce fine-grained access control based on the user's team membership1.
Updating the IAM role's trust policy to add an access-team session tag that has the team name allows the DevOps engineer to use IAM condition keys to restrict access based on the session tag value2. For example, the DevOps engineer can use the aws:PrincipalTag condition key to match the access-team tag of the user with the access-team tag of the repository3.
Creating an IAM permissions boundary in each account allows the DevOps engineer to set the maximum permissions that an identity-based policy can grant to an IAM entity. An entity's permissions boundary allows it to perform only the actions that are allowed by both its identity-based policies and its permissions boundaries4. For example, the DevOps engineer can use a permissions boundary policy to limit the actions that a user can perform on CodeCommit repositories based on their access-team tag5.
For each CodeCommit repository, adding an access-team tag that has the value set to the name of the associated team allows the DevOps engineer to use resource tags to identify which team manages a repository. This can help enforce fine-grained access control based on the resource tag value6.
The other options are incorrect because:
Creating an approval rule template for each team in the Organizations management account is not a valid option, as approval rule templates are not supported by AWS Organizations. Approval rule templates are specific to CodeCommit and can only be associated with one or more repositories in the same AWS Region where they are created7.
Creating an approval rule template for each account is not a valid option, as approval rule templates are not designed to restrict access to modify branches. Approval rule templates are designed to require approvals from specified users or groups before merging pull requests8.
Attaching an SCP to the accounts is not a valid option, as SCPs are not designed to restrict access based on tags. SCPs are designed to restrict access based on service actions and resources across all users and roles in an organization's account9.
NEW QUESTION # 146
A company uses a pipeline in AWS CodePipeline to upload AWS CloudFormation templates to an Amazon S3 bucket. The pipeline uses the templates to deploy CloudFormation stacks that match the names of the templates.
The company has experienced issues when it tries to revert templates to a previous version. To prevent these issues, the company must have the ability to review template modifications before the modifications are deployed to production.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
The requirement is simply: review changes before production deployment, with the least operational overhead.
B is the lightest change: adding a Manual approval (review) action in CodePipeline creates a controlled gate before the deploy stage. It requires no new repositories, no new services, and no custom code-just pipeline configuration.
Why not the others:
A introduces additional moving parts (Git repo integration, PR workflow management, and CloudFormation Git sync). That's useful, but it's more operational overhead than necessary to satisfy "review before deploy." C requires custom Lambda logic to inspect templates and decide whether to proceed-more code to write, run, secure, and maintain.
D adds both Git integration and a manual approval step-again more overhead than just adding the approval gate.
NEW QUESTION # 147
A DevOps engineer maintains a web application that is deployed on an Amazon Elastic Container Service (Amazon ECS) service behind an Application Load Balancer (ALB).
Recent updates to the service caused downtime for the application because of issues with the application code. The DevOps engineer needs to design a solution to test updates on a small amount of traffic first before deploying to the rest of the service.
Which solution will meet these requirements?
Answer: B
Explanation:
The key requirement is to shift a small percentage of traffic to a new version first to validate changes before rolling out to the entire ECS service, thereby reducing downtime and deployment risk. For ECS services behind an Application Load Balancer, the AWS-recommended and most reliable approach is to use AWS CodeDeploy with blue/green or canary deployments.
Option B directly addresses this requirement. By configuring the ECS service to use CodeDeploy as the deployment controller, CodeDeploy can manage traffic shifting between two ALB target groups: one for the current (stable) version and one for the new version. The CodeDeployDefault.ECSCanary10Percent15Minutes deployment configuration initially routes 10% of production traffic to the new task set, monitors the deployment for issues, and then shifts the remaining traffic after the defined interval. This enables early detection of application errors while limiting user impact.
Option A and C rely on rolling updates, which replace tasks incrementally but do not provide precise traffic control or automated rollback based on health checks. Option D's slow start setting only affects how quickly targets receive traffic after registration and does not implement true canary testing.
Therefore, using AWS CodeDeploy with ECS canary deployments is the most robust, AWS-supported solution to test changes safely before full rollout.
NEW QUESTION # 148
A company hosts applications in its AWS account Each application logs to an individual Amazon CloudWatch log group. The company's CloudWatch costs for ingestion are increasing A DevOps engineer needs to Identify which applications are the source of the increased logging costs.
Which solution Will meet these requirements?
Answer: C
Explanation:
The correct answer is C.
A comprehensive and detailed explanation is:
Option A is incorrect because using CloudWatch metrics to create a custom expression that identifies the CloudWatch log groups that have the most data being written to them is not a valid solution. CloudWatch metrics do not provide information about the size or volume of data being ingested by CloudWatch logs. CloudWatch metrics only provide information about the number of events, bytes, and errors that occur within a log group or stream. Moreover, creating a custom expression with CloudWatch metrics would require using the search_web tool, which is not necessary for this use case.
Option B is incorrect because using CloudWatch Logs Insights to create a set of queries for the application log groups to identify the number of logs written for a period of time is not a valid solution. CloudWatch Logs Insights can help analyze and filter log events based on patterns and expressions, but it does not provide information about the cost or billing of CloudWatch logs. CloudWatch Logs Insights also charges based on the amount of data scanned by each query, which could increase the logging costs further.
Option C is correct because using AWS Cost Explorer to generate a cost report that details the cost for CloudWatch usage is a valid solution. AWS Cost Explorer is a tool that helps visualize, understand, and manage AWS costs and usage over time. AWS Cost Explorer can generate custom reports that show the breakdown of costs by service, region, account, tag, or any other dimension. AWS Cost Explorer can also filter and group costs by usage type, which can help identify the specific CloudWatch log groups that are the source of the increased logging costs.
Option D is incorrect because using AWS CloudTrail to filter for CreateLogStream events for each application is not a valid solution. AWS CloudTrail is a service that records API calls and account activity for AWS services, including CloudWatch logs. However, AWS CloudTrail does not provide information about the cost or billing of CloudWatch logs. Filtering for CreateLogStream events would only show when a new log stream was created within a log group, but not how much data was ingested or stored by that log stream.
References:
CloudWatch Metrics
CloudWatch Logs Insights
AWS Cost Explorer
AWS CloudTrail
NEW QUESTION # 149
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