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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Incident and Event Response | 18% | - Design and implement chaos engineering practices
|
| Topic 2: SDLC Automation | 22% | - Design build and test environments
|
| Topic 3: Configuration Management and Infrastructure as Code | 22% | - Implement compliance and configuration monitoring
|
| Topic 4: High Availability and Disaster Recovery | 16% | - Design and implement disaster recovery strategies
|
| Topic 5: Policies and Standards Automation | 10% | - Design and implement preventive and detective controls
|
| Topic 6: Monitoring and Logging | 12% | - Design and implement alerting and incident management
|
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NEW QUESTION # 251
A company uses an Amazon Elastic Kubernetes Service (Amazon EKS) cluster to host its machine learning (ML) application. As the ML model and the container image grow, pod startup time has increased to several minutes. The DevOps engineer created an EventBridge rule that triggers Systems Manager automation to prefetch container images from ECR. Node groups and the cluster have tags configured.
What should the DevOps engineer do next to meet the requirements?
Answer: B
Explanation:
EKS control plane nodes are fully managed by AWS and are not accessible for configuration, SSH, SSM commands, or custom workloads. Therefore, any prefetching of container images must occur on the worker nodes (EC2 instances in the node groups) because those are the machines that pull and cache container images before running pods.
Option C is the only solution that aligns with AWS architecture:
It creates an IAM role allowing Systems Manager Run Command to execute on EC2 worker nodes.
It uses node group tags to target the correct nodes dynamically.
State Manager runs the prefetch script whenever triggered by the EventBridge automation - ensuring newly added nodes pre-pull images and reduce cold-start latency to seconds.
Options A and D are invalid because you cannot run Systems Manager commands on EKS control plane nodes; AWS manages them and does not expose them. Option B incorrectly targets node groups based on machine size, which does not provide reliable node identification or filtering.
Thus, Option C provides the correct, scalable, and supported method for prefetching images across all worker nodes.
NEW QUESTION # 252
A company uses AWS CodeArtifact to centrally store Python packages. The CodeArtifact repository is configured with the following repository policy.
A development team is building a new project in an account that is in an organization in AWS Organizations.
The development team wants to use a Python library that has already been stored in the CodeArtifact repository in the organization. The development team uses AWS CodePipeline and AWS CodeBuild to build the new application. The CodeBuild job that the development team uses to build the application is configured to run in a VPC Because of compliance requirements the VPC has no internet connectivity.
The development team creates the VPC endpoints for CodeArtifact and updates the CodeBuild buildspec yaml file. However, the development team cannot download the Python library from the repository.
Which combination of steps should a DevOps engineer take so that the development team can use Code Artifact? (Select TWO.)
Answer: A,B
Explanation:
"AWS CodeArtifact operates in multiple Availability Zones and stores artifact data and metadata in Amazon S3 and Amazon DynamoDB. Your encrypted data is redundantly stored across multiple facilities and multiple devices in each facility, making it highly available and highly durable." https://aws.amazon.com/codeartifact
/features/ With no internet connectivity, a gateway endpoint becomes necessary to access S3.
NEW QUESTION # 253
A company is using AWS CodePipeline to deploy an application. According to a new guideline, a member of the company's security team must sign off on any application changes before the changes are deployed into production. The approval must be recorded and retained.
Which combination of actions will meet these requirements? (Select TWO.)
Answer: A,B
Explanation:
Explanation
To meet the new guideline for application deployment, the company can use a combination of AWS CodePipeline and AWS CloudTrail. A manual approval action in CodePipeline allows the security team to review and approve changes before they are deployed. This action can be configured to pause the pipeline until approval is granted, ensuring that no changes move to production without the necessary sign-off.
Additionally, by creating an AWS CloudTrail trail, all actions taken within CodePipeline, including approvals, are recorded and delivered to an Amazon S3 bucket. This provides an audit trail that can be retained for compliance and review purposes.
References:
* AWS CodePipeline's manual approval action provides a way to ensure that a member of the security team can review and approve changes before they are deployed1.
* AWS CloudTrail integration with CodePipeline allows for the recording and retention of all pipeline actions, including approvals, which can be stored in Amazon S3 for record-keeping2.
NEW QUESTION # 254
A DevOps engineer is setting up an Amazon Elastic Container Service (Amazon ECS) blue/green deployment for an application by using AWS CodeDeploy and AWS CloudFormation. During the deployment window, the application must be highly available and CodeDeploy must shift 10% of traffic to a new version of the application every minute until all traffic is shifted.
Which configuration should the DevOps engineer add in the CloudFormation template to meet these requirements?
Answer: A
Explanation:
Step 1: Using AWS CloudFormation with ECS Blue/Green Deployments
The requirement is to implement an ECS blue/green deployment where traffic is shifted gradually. AWS CodeDeploy supports such blue/green deployments with predefined configurations, like ECSLinear10PercentEvery1Minute, which shifts 10% of traffic every minute.
Action: Use the AWS::CodeDeployBlueGreen transform and the appropriate hooks in the CloudFormation template. The ECSLinear10PercentEvery1Minute deployment configuration meets the requirement of shifting
10% of traffic every minute.
Why: The transform and hook parameters in CloudFormation are essential for configuring the blue/green deployment with the desired traffic-shifting behavior.
Reference: AWS documentation on ECS Blue/Green deployments.
This corresponds to Option B: Add the AWS::CodeDeployBlueGreen transform and the AWS::CodeDeploy::
BlueGreen hook parameter with the CodeDeployDefault.ECSLinear10PercentEvery1Minutes deployment configuration.
NEW QUESTION # 255
A company recently deployed its web application on AWS. The company is preparing for a large-scale sales event and must ensure that the web application can scale to meet the demand The application's frontend infrastructure includes an Amazon CloudFront distribution that has an Amazon S3 bucket as an origin. The backend infrastructure includes an Amazon API Gateway API. several AWS Lambda functions, and an Amazon Aurora DB cluster The company's DevOps engineer conducts a load test and identifies that the Lambda functions can fulfill the peak number of requests However, the DevOps engineer notices request latency during the initial burst of requests Most of the requests to the Lambda functions produce queries to the database A large portion of the invocation time is used to establish database connections Which combination of steps will provide the application with the required scalability? (Select TWO)
Answer: A,D
Explanation:
The correct answer is B and E. Configuring a higher provisioned concurrency for the Lambda functions will ensure that the functions are ready to respond to the initial burst of requests without any cold start latency. Using Amazon RDS Proxy to create a proxy for the Aurora database will enable the Lambda functions to reuse existing database connections and reduce the overhead of establishing new ones. This will also improve the scalability and availability of the database by managing the connection pool size and handling failovers. Option A is incorrect because reserved concurrency only limits the number of concurrent executions for a function, not pre-warms them. Option C is incorrect because converting the DB cluster to an Aurora global database will not address the issue of database connection latency, and may introduce additional costs and complexity. Option D is incorrect because moving the code blocks that initialize database connections into the function handlers will not improve the performance or scalability of the Lambda functions, and may actually worsen the cold start latency. References:
AWS Lambda Provisioned Concurrency
Using Amazon RDS Proxy with AWS Lambda
Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 173)
NEW QUESTION # 256
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