FREE PDF QUIZ DOP-C01 - FANTASTIC MOCK AWS CERTIFIED DEVOPS ENGINEER - PROFESSIONAL EXAMS

Free PDF Quiz DOP-C01 - Fantastic Mock AWS Certified DevOps Engineer - Professional Exams

Free PDF Quiz DOP-C01 - Fantastic Mock AWS Certified DevOps Engineer - Professional Exams

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The AWS-DevOps exam, also known as the AWS Certified DevOps Engineer - Professional (DOP-C01), is an advanced-level certification exam offered by Amazon Web Services (AWS). AWS Certified DevOps Engineer - Professional certification is designed for professionals who have experience in implementing and managing AWS DevOps services, tools, and best practices. The AWS-DevOps exam tests the candidate's ability to design, manage, and implement DevOps practices in an AWS-based environment.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q117-Q122):

NEW QUESTION # 117
A DevOps team needs to query information in application logs that are generated by an application running multiple Amazon EC2 instances deployed with AWS Elastic Beanstalk.
Instance log streaming to Amazon CloudWatch Logs was enabled on Elastic Beanstalk.
Which approach would be the MOST cost-efficient?

  • A. Use a CloudWatch Logs subscription to trigger an AWS Lambda function to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use Amazon Athena to query the log data from the bucket.
  • B. Use a CloudWatch Logs subscription to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use Amazon Athena to query the log data from the bucket.
  • C. Use a CloudWatch Logs subscription to trigger an AWS Lambda function to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use a new Amazon Redshift cluster and Amazon Redshift Spectrum to query the log data from the bucket.
  • D. Use a CloudWatch Logs subscription to send the log data to an Amazon Kinesis Data Firehouse stream that has an Amazon S3 bucket destination. Use a new Amazon Redshift cluster and Amazon Redshift Spectrum to query the log data from the bucket.

Answer: B

Explanation:
https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/Subscriptions.html


NEW QUESTION # 118
A company has microservices running in AWS Lambda that read data from Amazon DynamoDB. The Lambda code is manually deployed by Developers after successful testing. The company now needs the tests and deployments be automated and run in the cloud. Additionally, traffic to the new versions of each microservice should be incrementally shifted over time after deployment.
What solution meets all the requirements, ensuring the MOST developer velocity?

  • A. Create an AWS CodePipeline configuration and set up a post-commit hook to trigger the pipeline after tests have passed. Use AWS CodeDeploy and create a Canary deployment configuration that specifies the percentage of traffic and interval.
  • B. Use the AWS CLI to set up a post-commit hook that uploads the code to an Amazon S3 bucket after tests have passed. Set up an S3 event trigger that runs a Lambda function that deploys the new version.
    Use an interval in the Lambda function to deploy the code over time at the required percentage.
  • C. Create an AWS CodeBuild configuration that triggers when the test code is pushed. Use AWS CloudFormation to trigger an AWS CodePipeline configuration that deploys the new Lambda versions and specifies the traffic shift percentage and interval.
  • D. Create an AWS CodePipeline configuration and set up the source code step to trigger when code is pushed. Set up the build step to use AWS CodeBuild to run the tests. Set up an AWS CodeDeploy configuration to deploy, then select the CodeDeployDefault.LambdaLinear10PercentEvery3Minutes option.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/codedeploy/latest/userguide/deployment-configurations.html


NEW QUESTION # 119
A company has several AWS accounts. The accounts are shared and used across multiple teams globally, primarily for Amazon EC2 instances. Each EC2 instance has tags for team, environment, and cost center to ensure accurate cost allocations.
How should a DevOps Engineer help the teams audit their costs and automate infrastructure cost optimization across multiple shared environments and accounts?

  • A. Create an Amazon CloudWatch Events rule with AWS Trusted Advisor as the source for low utilization EC2 instances. Trigger an AWS Lambda function that filters out reported data based on tags for each team, environment, and cost center, and store the Lambda function in Amazon S3. Set up a second trigger to initiate a Lambda function to reduce underutilized instances.
  • B. Create a separate Amazon CloudWatch dashboard for EC2 instance tags based on cost center, environment, and team, and publish the instance tags out using unique links for each team. For each team, set up a CloudWatch Events rule with the CloudWatch dashboard as the source, and set up a trigger to initiate an AWS Lambda function to reduce underutilized instances.
  • C. Use AWS Systems Manager to track instance utilization and report underutilized instances to Amazon CloudWatch. Filter data in CloudWatch based on tags for team, environment, and cost center. Set up triggers from CloudWatch into AWS Lambda to reduce underutilized instances
  • D. Set up a scheduled script on the EC2 instances to report utilization and store the instances in an Amazon DynamoDB table. Create a dashboard in Amazon QuickSight with DynamoDB as the source data to find underutilized instances. Set up triggers from Amazon QuickSight in AWS Lambda to reduce underutilized instances.

Answer: D


NEW QUESTION # 120
Two teams are working together on different portions of an architecture and are using AWS CloudFormation to manage their resources. One team administers operating system-level updates and patches, while the other team manages application-level dependencies and updates. The Application team must take the most recent AMI when creating new instances and deploying the application. What is the MOST scalable method for linking these two teams and processes?

  • A. The Operating System team uses CloudFormation stack to create an AWS CodePipeline pipeline that builds new AMIs, then places the latest AMI ARNs in an encrypted Amazon S3 object as part of the pipeline output. The Application team uses a cross-stack reference within their own CloudFormation template to get that S3 object location and obtain the most recent AMI ARNs to use when deploying their application.
  • B. The Operating System team maintains a nested stack that includes both the operating system and Application team templates. The Operating System team uses a stack update to deploy updates to the application stack whenever the Application team changes the application code.
  • C. The Operating System team uses CloudFormation to create new versions of their AMIs and lists the Amazon Resource names (ARNs) of the AMIs in an encrypted Amazon S3 object as part of the stack output section. The Application team uses a cross-stack reference to load the encrypted S3 object and obtain the most recent AMI ARNs.
  • D. The Operating System team uses CloudFormation stack to create an AWS CodePipeline pipeline that builds new AMIs. The team then places the AMI ARNs as parameters in AWS Systems Manager Parameter Store as part of the pipeline output. The Application team specifies a parameter of type ssm in their CloudFormation stack to obtain the most recent AMI ARN from the Parameter Store.

Answer: D

Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/cloudformation-systems-manager- parameter
https://aws.amazon.com/blogs/mt/integrating-aws-cloudformation-with-aws-systems-manager- parameter-store/


NEW QUESTION # 121
A company is running three production web server reserved EC2 instances with EBS-backed root volumes.
These instances have a consistent CPU load of 80%. Traffic is being distributed to these instances by an
Elastic Load Balancer. They also have production and development Multi-AZ RDS MySQL databases. What
recommendation would you make to reduce cost in this environment without affecting availability of
mission-critical systems? Choose the correct answer from the options given below

  • A. Considerremovingthe Elastic Load Balancer
  • B. Considerusing on-demand instances instead of reserved EC2 instances
  • C. Considernot using a Multi-AZ RDS deployment for the development database
  • D. Considerusing spot instances instead of reserved EC2 instances

Answer: C

Explanation:
Explanation
Multi-AZ databases is better for production environments rather than for development environments, so you
can reduce costs by not using this for development environments
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB)
Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB
Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a
standby instance in a different Availability Zone (AZ). Cach AZ runs on its own physically distinct,
independent infrastructure, and is engineered to be highly reliable.
In case of an infrastructure failure, Amazon RDS performs an automatic failover to the standby (or to a read
replica in the case of Amazon Aurora), so that you can resume database operations as soon as the failover is
complete. Since the endpoint for your DB Instance remains the same after a failover, your application can
resume database operation without the need for manual administrative intervention
For more information on Multi-AZ RDS, please refer to the below link:
* https://aws.amazon.com/rds/details/multi-az/


NEW QUESTION # 122
......

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