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The DOP-C02 Exam is an advanced level certification exam that requires a deep understanding of AWS services and DevOps practices. DOP-C02 exam covers a wide range of topics, including deployment strategies, continuous delivery, automation, monitoring, security, and compliance. To pass the exam, candidates must demonstrate their ability to design, implement, and manage DevOps solutions on AWS.
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The Amazon DOP-C02 exam covers a wide range of topics, including provisioning and managing infrastructure using AWS services like EC2, RDS, and Elastic Beanstalk, designing and implementing scalable, fault-tolerant systems, and implementing and managing continuous integration and continuous delivery pipelines using tools like CodePipeline and CodeDeploy. Candidates are also tested on their ability to monitor and troubleshoot applications and infrastructure using AWS tools like CloudWatch and CloudTrail.
Amazon DOP-C02 certification exam is designed for professionals who are interested in validating their expertise in deploying and managing applications on the AWS platform using DevOps practices. AWS Certified DevOps Engineer - Professional certification exam is intended for individuals who already have experience working with AWS services and DevOps practices, and who are looking to further their knowledge and skills in this area. DOP-C02 Exam covers a wide range of topics including continuous integration and delivery, infrastructure as code, monitoring and logging, security, and compliance.
NEW QUESTION # 134
A DevOps engineer manages an AWS CodePipeline pipeline that builds and deploys a web application on AWS. The pipeline has a source stage, a build stage, and a deploy stage. When deployed properly, the web application responds with a 200 OK HTTP response code when the URL of the home page is requested.
The home page recently returned a 503 HTTP response code after CodePipeline deployed the application. The DevOps engineer needs to add an automated test into the pipeline. The automated test must ensure that the application returns a 200 OK HTTP response code after the application is deployed. The pipeline must fail if the response code is not present during the test.
The DevOps engineer has added a CheckURL stage after the deploy stage in the pipeline.
What should the DevOps engineer do next to implement the automated test?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
To add an automated test in AWS CodePipeline that checks the HTTP response code of a deployed application, the most straightforward and operationally efficient method is to create an AWS Lambda function that makes an HTTP request to the application URL, checks the response code, and then reports success or failure back to CodePipeline.
* The Lambda function can be invoked as an action in the pipeline stage.
* If the response code is not 200 OK, the Lambda function can return a failure, causing the pipeline stage to fail and halt further execution.
* Option A's CloudWatch synthetic canary monitors are useful for ongoing monitoring but are not natively integrated as CodePipeline actions to control pipeline flow.
* Option C incorrectly uses CodeDeploy action for testing, which is not designed for this purpose.
* Option D introduces unnecessary complexity by deploying API Gateway and Device Farm, which is not required for a simple HTTP status check.Therefore, option B provides a clean, simple, and fully automated way to enforce HTTP response validation within the pipeline.
Reference from AWS Official Documentation:
* AWS CodePipeline Custom Actions:"You can create Lambda invoke actions in your pipeline stages to run custom validation or testing functions."(AWS CodePipeline User Guide - Lambda Actions)
* AWS Lambda Function for Health Checks:"Lambda functions can be used to perform health checks or API response validations and report results back to invoking services."(AWS Lambda Developer Guide)
NEW QUESTION # 135
A company uses AWS Organizations to manage its AWS accounts. A DevOps engineer must ensure that all users who access the AWS Management Console are authenticated through the company's corporate identity provider (IdP).
Which combination of steps will meet these requirements? (Select TWO.)
Answer: C,D
Explanation:
Step 1: Using AWS IAM Identity Center for SAML-based Identity FederationTo ensure that all users accessing the AWS Management Console are authenticated via the corporate identity provider (IdP), the best approach is to set up identity federation with AWS IAM Identity Center (formerly AWS SSO) using SAML
2.0.
* Action:Use AWS IAM Identity Center to configure identity federation with the corporate IdP that supports SAML 2.0.
* Why:SAML 2.0 integration enables single sign-on (SSO) for users, allowing them to authenticate through the corporate IdP and gain access to AWS resources.
NEW QUESTION # 136
A company is developing a mobile app that requires extensive automated testing across multiple device types.
The company is using AWS CodePipeline for its CI/CD pipeline. The company must implement a scalable testing solution that can handle increased test loads as the app grows. Which solution will meet these requirements with the LEAST management overhead?
Answer: A
Explanation:
AWS Device Farm provides a fully managed environment for automated and manual app testing across real physical devices. It integrates directly with AWS CodePipeline and automatically scales based on test concurrency. AWS documentation recommends Device Farm for mobile app testing due to its scalability and zero infrastructure management.
NEW QUESTION # 137
A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository The deployment must have the following:
* Separate environment pipelines for testing and production
* Automatic deployment that occurs for test environments only
Which steps should be taken to meet these requirements'?
Answer: C
Explanation:
The correct approach to meet the requirements for separate environment pipelines and automatic deployment for test environments is to create two AWS CodePipeline configurations, one for each environment. The production pipeline should have a manual approval step to ensure that changes are reviewed before being deployed to production. A single AWS CodeCommit repository with separate branches for each environment allows for organized and efficient code management. Each CodePipeline retrieves the source code from the appropriate branch in the repository. The deployment step utilizes AWS CloudFormation to deploy the Lambda functions, ensuring that the infrastructure as code is maintained and version-controlled.
Reference:
AWS Lambda with Amazon API Gateway: Using AWS Lambda with Amazon API Gateway Tutorial on using Lambda with API Gateway: Tutorial: Using Lambda with API Gateway AWS CodePipeline automatic deployment: Set Up a Continuous Deployment Pipeline Using AWS CodePipeline Building a pipeline for test and production stacks: Walkthrough: Building a pipeline for test and production stacks
NEW QUESTION # 138
A company hosts applications in its AWS account Each application logs to an individual Amazon CloudWatch log group. The companys 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: A
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.
Reference:
CloudWatch Metrics
CloudWatch Logs Insights
AWS Cost Explorer
AWS CloudTrail
NEW QUESTION # 139
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