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Amazon DOP-C01 Practice Test - Questions Answers, Page 12

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Question 111

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You need the absolute highest possible network performance for a cluster computing application. You already selected homogeneous instance types supporting 10 gigabit enhanced networking, made sure t

Question 112

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A development team is using AWS CodeCommit to version control application code and AWS CodePipeline to orchestrate software deployments. The team has decided to use a remote master branch as the tri

Question 113

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There are a number of ways to purchase compute capacity on AWS. Which orders the price per compute or memory unit from LOW to HIGH (cheapest to most expensive), on average?

Question 114

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A mobile application running on eight Amazon EC2 instances is relying on a third-party API endpoint. The third-party service has a high failure rate because of limited capacity, which is expected to

Question 115

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A DevOps Engineer administers an application that manages video files for a video production company. The application runs on Amazon EC2 instances behind an ELB Application Load Balancer. The instan

Question 116

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An ecommerce company uses a large number of Amazon EBS backed Amazon EC2 instances. To decrease manual work across all the instances, a DevOps Engineer is tasked with automating restart actions when

Question 117

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The management team at a company with a large on-premises OpenStack environment wants to move non-production workloads to AWS. An AWS Direct Connect connection has been provisioned and configured to

Question 118

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Your organization has decided to implement a third-party configuration management tool that uses a master server from which nodes pull configuration. You have built a custom base Amazon Machine Imag

Question 119

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An Application team has three environments for their application: development, pre-production, and production. The team recently adopted AWS CodePipeline. However, the team has had several deploymen

Question 120

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A DevOps team wants to be able to work on the same source code repository. The team has the following requirements for their development workflow and repository access controls: Only team members c

Question 111

You need the absolute highest possible network performance for a cluster computing application. You already selected homogeneous instance types supporting 10 gigabit enhanced networking, made sure that your workload was network bound, and put the instances in a placement group. What is the last optimization you can make?

Use 9001 MTU instead of 1500 for Jumbo Frames, to raise packet body to packet overhead ratios.

Segregate the instances into different peered VPCs while keeping them all in a placement group, so each one has its own Internet Gateway.

Bake an AMI for the instances and relaunch, so the instances are fresh in the placement group and do not have noisy neighbors.

Turn off SYN/ACK on your TCP stack or begin using UDP for higher throughput.

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Question 112

A development team is using AWS CodeCommit to version control application code and AWS CodePipeline to orchestrate software deployments. The team has decided to use a remote master branch as the trigger for the pipeline to integrate code changes. A developer has pushed code changes to the CodeCommit repository, but noticed that the pipeline had no reaction, even after 10 minutes. Which of the following actions should be taken to troubleshoot this issue?

Check that an Amazon CloudWatch Events rule has been created for the master branch to trigger the pipeline.

Check that the CodePipeline service role has permission to access the CodeCommit repository.

Check that the developer’s IAM role has permission to push to the CodeCommit repository.

Check to see if the pipeline failed to start because of CodeCommit errors in Amazon CloudWatch Logs.

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Question 113

There are a number of ways to purchase compute capacity on AWS. Which orders the price per compute or memory unit from LOW to HIGH (cheapest to most expensive), on average?

On-Demand

SpotA, B, C

ReservedC, B, A

B, C, A

A, C, B

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Question 114

A mobile application running on eight Amazon EC2 instances is relying on a third-party API endpoint. The third-party service has a high failure rate because of limited capacity, which is expected to be resolved in a few weeks. In the meantime, the mobile application developers have added a retry mechanism and are logging failed API requests. A DevOps Engineer must automate the monitoring of application logs and count the specific error messages; if there are more than 10 errors within a 1-minute window, the system must issue an alert.

How can the requirements be met with MINIMAL management overhead?

Install the Amazon CloudWatch Logs agent on all instances to push the application logs to CloudWatch Logs. Use metric filters to count the error messages every minute, and trigger a CloudWatch alarm if the count exceeds 10 errors.

Install the Amazon CloudWatch Logs agent on all instances to push the access logs to CloudWatch Logs. Create a CloudWatch Events rule to count the error messages every minute, and trigger a CloudWatch alarm if the count exceeds 10 errors.

Install the Amazon CloudWatch Logs agent on all instances to push the application logs to CloudWatch Logs. Use a metric filter to generate a custom CloudWatch metric that records the number of failures and triggers a CloudWatch alarm if the custom metric reaches 10 errors in a 1-minute period.

Deploy a custom script on all instances to check application logs regularly in a cron job. Count the number of error messages every minute, and push a data point to a custom CloudWatch metric. Trigger a CloudWatch alarm if the custom metric reaches 10 errors in a 1-minute period.

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Question 115

A DevOps Engineer administers an application that manages video files for a video production company. The application runs on Amazon EC2 instances behind an ELB Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. Data is stored in an Amazon RDS PostgreSQL Multi-AZ DB instance, and the video files are stored in an Amazon S3 bucket. On a typical day, 50 GB of new video are added to the S3 bucket. The Engineer must implement a multi-region disaster recovery plan with the least data loss and the lowest recovery times. The current application infrastructure is already described using AWS CloudFormation. Which deployment option should the Engineer choose to meet the uptime and recovery objectives for the system?

Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Create an Amazon RDS read replica in the second region. In the second region, enable cross-region replication between the original S3 bucket and a new S3 bucket. To fail over, promote the read replica as master. Update the CloudFormation stack and increase the capacity of the Auto Scaling group.

Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Create a scheduled task to take daily Amazon RDS cross-region snapshots to the second region. In the second region, enable cross-region replication between the original S3 bucket and Amazon Glacier. In a disaster, launch a new application stack in the second region and restore the database from the most recent snapshot.

Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Use Amazon CloudWatch Events to schedule a nightly task to take a snapshot of the database, copy the snapshot to the second region, and replace the DB instance in the second region from the snapshot. In the second region, enable cross-region replication between the original S3 bucket and a new S3 bucket. To fail over, increase the capacity of the Auto Scaling group.

Use Amazon CloudWatch Events to schedule a nightly task to take a snapshot of the database and copy the snapshot to the second region. Create an AWS Lambda function that copies each object to a new S3 bucket in the second region in response to S3 event notifications. In the second region, launch the application from the CloudFormation template and restore the database from the most recent snapshot.

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Question 116

An ecommerce company uses a large number of Amazon EBS backed Amazon EC2 instances. To decrease manual work across all the instances, a DevOps Engineer is tasked with automating restart actions when EC2 instance retirement events are scheduled.

How can this be accomplished?

Create a scheduled Amazon CloudWatch Events rule to execute an AWS Systems Manager automation document that checks if any EC2 instances are scheduled for retirement once a week. If the instance is scheduled for retirement, the automation document will hibernate the instance.

Enable EC2 Auto Recovery on all of the instances. Create an AWS Config rule to limit the recovery to occur during a maintenance window only.

Reboot all EC2 instances during an approved maintenance window that is outside of standard business hours. Set up Amazon CloudWatch alarms to send a notification in case any instance is failing EC2 instance status checks.

Set up an AWS Health Amazon CloudWatch Events rule to execute AWS Systems Manager automation documents that stop and start the EC2 instance when a retirement scheduled event occurs.

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Question 117

The management team at a company with a large on-premises OpenStack environment wants to move non-production workloads to AWS. An AWS Direct Connect connection has been provisioned and configured to connect the environments.

Due to contractual obligations, the production workloads must remain on-premises, and will be moved to AWS after the next contract negotiation. The company follows Center for Internet Security (CIS) standards for hardening images; this configuration was developed using the company’s configuration management system. Which solution will automatically create an identical image in the AWS environment without significant overhead?

Write an AWS CloudFormation template that will create an Amazon EC2 instance. Use cloud-unit to install the configuration management agent, use cfn-wait to wait for configuration management to successfully apply, and use an AWS Lambda-backed custom resource to create the AMI.

Log in to the console, launch an Amazon EC2 instance, and install the configuration management agent. When changes are applied through the configuration management system, log in to the console and create a new AMI from the instance.

Create a new AWS OpsWorks layer and mirror the image hardening standards. Use this layer as the baseline for all AWS workloads.

When a change is made in the configuration management system, a job in Jenkins is triggered to use the VM Import command to create an Amazon EC2 instance in the Amazon VPC. Use lifecycle hooks to launch an AWS Lambda function to create the AMI.

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Question 118

Your organization has decided to implement a third-party configuration management tool that uses a master server from which nodes pull configuration. You have built a custom base Amazon Machine Image that already has the third-party configuration management agent installed. You want to use the same base AMI in Development, Test and Production environments, each of which has its own master server. How should you configure your Amazon EC2 instances to register with the correct master server on launch?

Create a tag for all instances that specifies their environment. When launching instances, provide an Amazon EC2 UserData script that gets this tag by querying the MetaData Service and registers the agent with the master.

Use Amazon CloudFormation to describe your environment. Configure an input parameter for the master server hostname/address, and use this parameter within an Amazon EC2 UserData script that registers the agent with the master.

Create a script on your third-party configuration management master server that queries the Amazon EC2 API for new instances and registers them with it.

Use Amazon Simple Workflow Service to automate the process of registering new instances with your master server. Use an Environment tag in Amazon EC2 to register instances with the correct master server.

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Question 119

An Application team has three environments for their application: development, pre-production, and production. The team recently adopted AWS CodePipeline. However, the team has had several deployments of misconfigured or nonfunctional development code into the production environment, resulting in user disruption and downtime. The DevOps Engineer must review the pipeline and add steps to identify problems with the application before it is deployed. What should the Engineer do to identify functional issues during the deployment process? (Choose two.)

Use Amazon Inspector to add a test action to the pipeline. Use the Amazon Inspector Runtime Behavior Analysis Inspector rules package to check that the deployed code complies with company security standards before deploying it to production.

Using AWS CodeBuild to add a test action to the pipeline to replicate common user activities and ensure that the results are as expected before progressing to production deployment.

Create an AWS CodeDeploy action in the pipeline with a deployment configuration that automatically deploys the application code to a limited number of instances. The action then pauses the deployment so that the QA team can review the application functionality. When the review is complete, CodeDeploy resumes and deploys the application to the remaining production Amazon EC2 instances.

After the deployment process is complete, run a testing activity on an Amazon EC2 instance in a different region that accesses the application to simulate user behavior. If unexpected results occur, the testing activity sends a warning to an Amazon SNS topic. Subscribe to the topic to get updates.

Add an AWS CodeDeploy action in the pipeline to deploy the latest version of the development code to pre-production. Add a manual approval action in the pipeline so that the QA team can test and confirm the expected functionality. After the manual approval action, add a second CodeDeploy action that deploys the approved code to the production environment.

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Question 120

A DevOps team wants to be able to work on the same source code repository. The team has the following requirements for their development workflow and repository access controls:

Only team members can clone the repository and create new branches.

A production-ready code state should be isolated from any untested code changes.

Code changes should be approved by another team member before merging to the production-ready master branch. All code change approvals must have an audit record. New team members can quickly modify code. Which combination of actions will these requirements? (Choose three.)

Check out the master branch and develop new features locally on a feature branch to keep the production-ready code isolated. Ask team members to review the changes before committing the changes locally.

Create an AWS CodeCommit repository and an IAM group with permissions to read/write changes to the repository. Add new team members to this group.

Create an AWS CodeCommit repository and an IAM role with permissions to read/write changes to the repository. Attach this IAM role to a single IAM user. Ensure each member of the team uses this IAM user. Provide new team members the credentials to this IAM user.

Create a local feature branch from the master branch for new features. Commit the new code and push the changes to the feature branch in the repository.

Create a pull request so other team members can review the code changes. Implement any suggestions, pull any additional changes from the master branch, and push to the feature branch again. Merge the master branch with the feature branch.

Create a pull request so other team members can review the code changes. Implement any suggestions, pull any additional changes from the master branch, resolve any conflicts, and push to the feature branch again. Merge the feature branch with the master branch.

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Total 557 questions