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Amazon DOP-C01 Exam is designed to validate the skills and expertise of professionals who are responsible for implementing and managing DevOps practices on the AWS platform. DOP-C01 exam is intended for individuals who have several years of experience working with AWS infrastructure, as well as experience in automating and streamlining the software development process. The DevOps Engineer Professional certification is one of the most sought-after certifications in the industry, as it demonstrates a high level of competence in DevOps practices and AWS services.
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Amazon DOP-C01 exam is designed to test the knowledge and skills of experienced DevOps professionals in designing, managing, and implementing AWS solutions. As the demand for DevOps engineers continues to grow, the DOP-C01 certification is becoming increasingly valuable to professionals in this field. DOP-C01 Exam covers a wide range of topics, including continuous integration and delivery, monitoring and logging, security and compliance, and infrastructure as code. It requires a deep understanding of AWS services and the ability to design and optimize scalable and secure solutions.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q415-Q420):
NEW QUESTION # 415
A company wants to implement a CI/CD pipeline for an application that is deployed on AWS. The company also has a source-code analysis tool hosted on premises that checks for security flaws. The tool has not yet been migrated to AWS and can be accessed only on-premises server. The company wants to run checks against the source code as part of the pipeline before the code is compiled. The checks take anywhere from minutes to an hour to complete.
How can a DevOps Engineer meet these requirements?
- A. Use AWS CodePipeline to create a pipeline, then create a custom action type. Create a job worker for the on-premises server that polls CodePipeline for job requests, initiates the tests, and returns the results.
Configure the pipeline to invoke the custom action after the source stage. - B. Use AWS CodePipeline to create a pipeline. Create a shell script that copies the input source code to a location on premises. Invoke the source code analysis tool and return the results to CodePipeline. Invoke the shell script by adding a custom script action after the source stage.
- C. Use AWS CodePipeline to create a pipeline. Add a step after the source stage to make an HTTPS request to the on-premises hosted web service that invokes a test with the source code analysis tool. When the analysis is complete, the web service sends the results back by putting the results in an Amazon S3 output location provided by CodePipeline.
- D. Use AWS CodePipeline to create a pipeline. Add an action to the pipeline to invoke an AWS Lambda function after the source stage. Have the Lambda function invoke the source-code analysis tool on premises against the source input from CodePipeline. The function then waits for the execution to complete and places the output in a specified Amazon S3 location.
Answer: A
Explanation:
Explanation
NEW QUESTION # 416
When thinking of AWS OpsWorks, which of the following is not an instance type you can allocate in a stack layer?
- A. Spot instances
- B. Load-based instances
- C. Time-based instances
- D. 24/7 instances
Answer: A
Explanation:
AWS OpsWorks supports the following instance types, which are characterized by how they are started and stopped. 24/7 instances are started manually and run until you stop them.Time-based instances are run by AWS OpsWorks on a specified daily and weekly schedule. They allow your stack to automatically adjust the number of instances to accommodate predictable usage patterns. Load-based instances are automatically started and stopped by AWS OpsWorks, based on specified load metrics, such as CPU utilization. They allow your stack to automatically adjust the number of instances to accommodate variations in incoming traffic. Load-based instances are available only for Linux-based stacks.
http://docs.aws.amazon.com/opsworks/latest/userguide/welcome.html
NEW QUESTION # 417
A government agency is storing highly confidential files in an encrypted Amazon S3 bucket. The agency has configured federated access and has allowed only a particular on-premises Active Directory user group to access this bucket.
The agency wants to maintain audit records and automatically detect and revert any accidental changes administrators make to the IAM policies used for providing this restricted federated access. Which of the following options provide the FASTEST way to meet these requirements?
- A. Configure an Amazon CloudWatch Events Event Bus on an AWS CloudTrail API for triggering the AWS Lambda function that detects and reverts the change.
- B. Restrict administrators in the on-premises Active Directory from changing the IAM policies.
- C. Configure an AWS Config rule to detect the configuration change and execute an AWS Lambda function to revert the change.
- D. Schedule an AWS Lambda function that will scan the IAM policy attached to the federated access role for detecting and reverting any changes.
Answer: A
NEW QUESTION # 418
A social networking service runs a web API that allows its partners to search public posts. Post data is stored in Amazon DynamoDB and indexed by AWS Lambda functions, with an Amazon ES domain storing the indexes and providing search functionality to the application.
The service needs to maintain full capacity during deployments and ensure that failed deployments do not cause downtime or reduced capacity, or prevent subsequent deployments.
How can these requirements be met? (Select TWO )
- A. Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy in-place deployment.
- B. Run the web application in AWS Elastic Beanstalk with the deployment policy set to Rolling. Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.
- C. Run the web application in AWS Elastic Beanstalk with the deployment policy set to All at Once.
Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template. - D. Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy blue/green deployment.
- E. Run the web application in AWS Elastic Beanstalk with the deployment policy set to Immutable.
Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.
Answer: A,E
NEW QUESTION # 419
Your team wants to begin practicing continuous delivery using CloudFormation, to enable automated builds and deploys of whole, versioned stacks or stack layers. You have a 3-tier, mission-critical system. Which of the following is NOT a best practice for using CloudFormation in a continuous delivery environment?
- A. Use the AWS CloudFormation ValidateTemplate call before publishing changes to AWS.
- B. Use CloudFormation to create brand new infrastructure for all stateless resources on each push, and run integration tests on that set of infrastructure.
- C. Model your stack in one template, so you can leverage CloudFormation's state management and dependency resolution to propagate all changes.
- D. Parametrize the template and use Mappings to ensure your template works in multiple Regions.
Answer: C
Explanation:
Explanation
Answer - B
Some of the best practices for Cloudformation are
* Created Nested stacks
As your infrastructure grows, common patterns can emerge in which you declare the same components in each of your templates. You can separate out these common components and create dedicated templates for them.
That way, you can mix and match different templates but use nested stacks to create a single, unified stack.
Nested stacks are stacks that create other stacks. To create nested stacks, use the AWS::CloudFormation::Stackresource in your template to reference other templates.
* Reuse Templates
After you have your stacks and resources set up, you can reuse your templates to replicate your infrastructure in multiple environments. For example, you can create environments for development, testing, and production so that you can test changes before implementing them into production. To make templates reusable, use the parameters, mappings, and conditions sections so that you can customize your stacks when you create them.
For example, for your development environments, you can specify a lower-cost instance type compared to your production environment, but all other configurations and settings remain the same. For more information on Cloudformation best practises, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.
html
NEW QUESTION # 420
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