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DOP-C02 Reliable Test Tutorial | DOP-C02 Pass Rate

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The AWS Certified DevOps Engineer - Professional certification exam, also known as DOP-C02, is designed for professionals who have experience in implementing and managing DevOps practices using AWS tools and services. AWS Certified DevOps Engineer - Professional certification validates a candidate's expertise in areas such as continuous delivery, infrastructure as code, monitoring and logging, and automation of security and compliance.

The DOP-C02 Exam is considered to be one of the most valuable and sought-after certifications in the field of DevOps. It is recognized globally as a standard for measuring the expertise and skills required to manage and deploy applications on the AWS platform using DevOps principles and practices. AWS Certified DevOps Engineer - Professional certification is highly sought after by employers and can lead to lucrative job opportunities with high salaries and benefits.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q353-Q358):

NEW QUESTION # 353
A company has multiple AWS accounts. The company uses AWS IAM Identity Center (AWS Single Sign- On) that is integrated with AWS Toolkit for Microsoft Azure DevOps. The attributes for access control feature is enabled in IAM Identity Center.
Which condition key should the DevOps engineer include in the custom permissions policies to meet these requirements?

A. The attribute mapping list contains two entries. The department key is mapped to ${path:enterprise.department}. The costCenter key is mapped to ${path:enterprise.costCenter}.
B. The policies must minimize administrative effort and must grant each Azure AD user access to only the EC2 instances that are tagged with the user's respective department name.
C. All existing Amazon EC2 instances have a department tag that corresponds to three company departments (d1, d2, d3).
D. A DevOps engineer must create policies based on the matching attributes.

Answer: D

Explanation:
https://docs.aws.amazon.com/singlesignon/latest/userguide/configure-abac.html

NEW QUESTION # 354
A company is developing a web application's infrastructure using AWS CloudFormation The database engineering team maintains the database resources in a Cloud Formation template, and the software development team maintains the web application resources in a separate CloudFormation template. As the scope of the application grows, the software development team needs to use resources maintained by the database engineering team However, both teams have their own review and lifecycle management processes that they want to keep. Both teams also require resource-level change-set reviews. The software development team would like to deploy changes to this template using their Cl/CD pipeline.
Which solution will meet these requirements?

A. Create input parameters in the web application CloudFormation template and pass resource names and IDs from the database stack.
B. Create a CloudFormation stack set to make cross-stack resource references and parameters available in both stacks.
C. Create a stack export from the database CloudFormation template and import those references into the web application CloudFormation template
D. Create a CloudFormation nested stack to make cross-stack resource references and parameters available in both stacks.

Answer: C

Explanation:
Stack Export and Import:
* Use theExportfeature in CloudFormation to share outputs from one stack (e.g., database resources) and use them as inputs in another stack (e.g., web application resources).
Steps to Create Stack Export:
* Define the resources in the database CloudFormation template and use theOutputssection to export necessary values.
Outputs:
DBInstanceEndpoint:
Value: !GetAtt DBInstance.Endpoint.Address
Export:
Name: DBInstanceEndpoint
Steps to Import into Web Application Stack:
* In the web application CloudFormation template, use theImportValuefunction to import these exported values.
Resources:
MyResource:
Type: "AWS::SomeResourceType"
Properties:
SomeProperty: !ImportValue DBInstanceEndpoint
* Resource-Level Change-Set Reviews:
* Both teams can continue using their respective review processes, as changes to each stack are managed independently.
* Use CloudFormation change sets to preview changes before deploying.
By exporting resources from the database stack and importing them into the web application stack, both teams can maintain their separate review and lifecycle management processes while sharing necessary resources.
References:
* AWS CloudFormation Export
* AWS CloudFormation ImportValue

NEW QUESTION # 355
A company's application has an API that retrieves workload metrics. The company needs to audit, analyze, and visualize these metrics from the application to detect issues at scale.
Which combination of steps will meet these requirements? (Select THREE).

A. Create an Amazon CloudWatch dashboard that has custom widgets that invoke AWS Lambda functions. Configure the Lambda functions to query the workload metrics data from the Amazon Athena views.
B. Connect an AWS Glue crawler to the Amazon DynamoDB stream to catalog the workload metric data.
Create views in Amazon Athena for the cataloged data.
C. Configure an Amazon EventBridge schedule to invoke an AWS Lambda function that calls the API to retrieve workload metrics. Store the workload metric data in an Amazon DynamoDB table that has a DynamoDB stream enabled.
D. Create Amazon QuickSight datasets from the Amazon Athena views. Create a QuickSight analysis to visualize the workload metric data as a dashboard.
E. Create an AWS Glue crawler to catalog the workload metric data in the Amazon S3 bucket. Create views in Amazon Athena for the cataloged data.
F. Configure an Amazon EventBridge schedule to invoke an AWS Lambda function that calls the API to retrieve workload metrics. Store the workload metric data in an Amazon S3 bucket.

Answer: D,E,F

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The recommended architecture to audit, analyze, and visualize application workload metrics at scale involves:
* UsingAmazon EventBridgeto scheduleAWS Lambdainvocations that call the application API and fetch metrics (Option A). The data is stored inAmazon S3, which is ideal for scalable, cost-effective storage of large datasets.
* Cataloging the stored data withAWS Glue crawlers, enabling schema discovery and making data queryable viaAmazon Athena(Option C).
* Visualizing the data by creatingAmazon QuickSight datasetsfrom Athena views and building dashboards for analysis (Option E).Option B and D introduce DynamoDB, which is less suitable for large-scale analytics and Athena querying. Option F suggests querying Athena via Lambda widgets in CloudWatch, which adds complexity without significant benefit over QuickSight.
Reference:
Serverless Analytics Architecture on AWS:"Use Lambda + S3 + Glue + Athena + QuickSight for scalable data ingestion, cataloging, querying, and visualization."(AWS Analytics Reference Architecture) AWS Glue Crawlers and Athena:"Glue crawlers catalog data stored in S3 and create Athena tables to enable SQL querying."(AWS Glue Documentation) Amazon QuickSight for Visualization:"QuickSight enables creating interactive dashboards from Athena query results."(Amazon QuickSight Overview)

NEW QUESTION # 356
A company's DevOps engineer uses AWS Systems Manager to perform maintenance tasks during maintenance windows. The company has a few Amazon EC2 instances that require a restart after notifications from AWS Health. The DevOps engineer needs to implement an automated solution to remediate these notifications. The DevOps engineer creates an Amazon EventBridge rule.
How should the DevOps engineer configure the EventBridge rule to meet these requirements?

A. Configure an event source of AWS Health, a service of EC2. and an event type that indicates instance maintenance. Target a Systems Manager document to restart the EC2 instance.
B. Configure an event source of AWS Health, a service of EC2, and an event type that indicates instance maintenance. Target a newly created AWS Lambda function that registers an automation task to restart the EC2 instance during a maintenance window.
C. Configure an event source of EC2 and an event type that indicates instance maintenance. Target a newly created AWS Lambda function that registers an automation task to restart the EC2 instance during a maintenance window.
D. Configure an event source of Systems Manager and an event type that indicates a maintenance window.
Target a Systems Manager document to restart the EC2 instance.

Answer: B

Explanation:
AWS Health provides real-time events and information related to your AWS infrastructure. It can be integrated with Amazon EventBridge to act upon the health events automatically. If the maintenance notification from AWS Health indicates that an EC2 instance requires a restart, you can set up an EventBridge rule to respond to such events. In this case, the target of this rule would be a Lambda function that would trigger a Systems Manager automation to restart the EC2 instance during a maintenance window. Remember, AWS Health is the source of the events (not EC2 or Systems Manager), and AWS Lambda can be used to execute complex remediation tasks, such as scheduling maintenance tasks via Systems Manager.
The following are the steps involved in configuring the EventBridge rule to meet these requirements:
* Configure an event source of AWS Health, a service of EC2, and an event type that indicates instance maintenance.
* Target a newly created AWS Lambda function that registers an automation task to restart the EC2 instance during a maintenance window.
The AWS Lambda function will be triggered by the event from AWS Health. The function will then register an automation task to restart the EC2 instance during the next maintenance window.

NEW QUESTION # 357
A company wants to use AWS development tools to replace its current bash deployment scripts. The company currently deploys a LAMP application to a group of Amazon EC2 instances behind an Application Load Balancer (ALB). During the deployments, the company unit tests the committed application, stops and starts services, unregisters and re-registers instances with the load balancer, and updates file permissions. The company wants to maintain the same deployment functionality through the shift to using AWS services.
Which solution will meet these requirements?

A. Use AWS CodePipeline to move the application from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy's deployment group to test the application, unregister and re-register instances with the ALB. and restart services. Use the appspec.yml file to update file permissions without a custom script.
B. Use AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services, and deregister and register instances with the ALB. Use the appspec.yml file to update file permissions without a custom script.
C. Use AWS CodePipeline to move the application source code from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy to test the application. Use CodeDeploy's appspec.yml file to restart services and update permissions without a custom script. Use AWS CodeBuild to unregister and re-register instances with the ALB.
D. Use AWS CodePipeline to trigger AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services. Unregister and re-register the instances in the AWS CodeDeploy deployment group with the ALB. Update the appspec.yml file to update file permissions without a custom script.

Answer: D

Explanation:
https://aws.amazon.com/blogs/devops/how-to-test-and-debug-aws-codedeploy-locally-before-you-ship-your-code/#:~:text=You%20can%20test%20application%20code,local%20server%20or%20EC2%20instance.

NEW QUESTION # 358
......

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