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AWS-DevOps-Engineer-Professional PDF DEMO:

QUESTION NO: 1
A Development team uses AWS CodeCommit for source code control. Developers apply their changes to various feature branches and create pull requests to move those changes to the master branch when they are ready for production. A direct push to the master branch should not be allowed. The team applied the AWS managed policy AWSCodeCommitPowerUser to the Developers'
IAM role, but now members are able to push to the master branch directly on every repository in the
AWS account.
What actions should be taken to restrict this?
A. Create an additional policy to include a deny rule for the codecommit: GitPush action, and include a restriction for the specific repositories in the resource statement with a condition for the master reference.
B. Create an additional policy to include an allow rule for the codecommit: GitPush action and include a restriction for the specific repositories in the resource statement with a condition for the feature branches reference.
C. Modify the IAM policy and include a deny rule for the codecommit: GitPush action for the specific repositories in the resource statement with a condition for the master reference.
D. Remove the IAM policy and add an AWSCodeCommitReadOnly policy. Add an allow rule for the codecommit: GitPush action for the specific repositories in the resource statement with a condition for the master reference.
Answer: C

QUESTION NO: 2
A business has an application that consists of five independent AWS Lambda functions.
The DevOps Engineer has built a CI/CD pipeline using AWS CodePipeline and AWS CodeBuild that builds, tests, packages, and deploys each Lambda function in sequence. The pipeline uses an Amazon
CloudWatch Events rule to ensure the pipeline execution starts as quickly as possible after a change is made to the application source code.
After working with the pipeline for a few months, the DevOps Engineer has noticed the pipeline takes too long to complete.
What should the DevOps Engineer implement to BEST improve the speed of the pipeline?
A. Modify the CodeBuild projects within the pipeline to use a compute type with more available network throughput.
B. Modify the CodePipeline configuration to execute actions for each Lambda function in parallel by specifying the same runOrder.
C. Create a custom CodeBuild execution environment that includes a symmetric multiprocessing configuration to run the builds in parallel.
D. Modify each CodeBuild project to run within a VPC and use dedicated instances to increase throughput.
Answer: D

QUESTION NO: 3
A media customer has several thousand Amazon EC2 instances in an AWS account. The customer is using a Slack channel for team communications and important updates. A DevOps
Engineer was told to send all AWS-scheduled EC2 maintenance notifications to the company Slack channel.
Which method should the Engineer use to implement this process in the LEAST amount of steps?
A. Integrate AWS Personal Health Dashboard with Amazon CloudWatch Events. Based on the
CloudWatch Events created, the event can invoke an AWS Lambda function to send notifications to the Slack channel.
B. Integrate EC2 events with Amazon CloudWatch monitoring. Based on the CloudWatch Alarm created, the alarm can invoke an AWS Lambda function to send EC2 maintenance notifications to the
Slack channel.
C. Integrate AWS Support with AWS CloudTrail. Based on the CloudTrail lookup event created, the event can invoke an AWS Lambda function to pass EC2 maintenance notifications to the Slack channel.
D. Integrate AWS Trusted Advisor with AWS Config. Based on the AWS Config rules created, the AWS
Config event can invoke an AWS Lambda function to send notifications to the Slack channel.
Answer: B

QUESTION NO: 4
A company is creating a software solution that executes a specific parallel-processing mechanism. The software can scale to tens of servers in some special scenarios. This solution uses a proprietary library that is license-based, requiring that each individual server have a single, dedicated license installed. The company has
200 licenses and is planning to run 200 server nodes concurrently at most.
The company has requested the following features:
* A mechanism to automate the use of the licenses at scale.
* Creation of a dashboard to use in the future to verify which licenses are available at any moment.
What is the MOST effective way to accomplish these requirements'?
A. Upload the licenses to an Amazon DynamoDB table. Create an AWS CLI script to launch the servers by using the parameter --count, with min:max instances to launch. In the user data script, acquire an available license from the DynamoDB table. Monitor each instance and, in case of failure, replace the instance, then manually update the DynamoDB table.
B. Upload the licenses to a private Amazon S3 bucket. Create an AWS CloudFormation template with a Mappings section for the licenses. In the template, create an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the Mappings section. Create an
Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated.
C. Upload the licenses to an Amazon DynamoDB table. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the DynamoDB table. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated.
D. Upload the licenses to a private Amazon S3 bucket. Populate an Amazon SQS queue with the list of licenses stored in S3. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script acquire an available license from SQS. Create an Auto
Scaling lifecycle hook, then use it to put the license back in SQS after the instance is terminated.
Answer: A

QUESTION NO: 5
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 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.
B. 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.
C. 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.
D. 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.
Answer: C

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Updated: Dec 12, 2019

AWS-DevOps-Engineer-Professional試験資料 - Amazon AWS-DevOps-Engineer-Professional試験勉強過去問 & Aws Certified Devops Engineer Professional

PDF問題と解答

試験コード:AWS-DevOps-Engineer-Professional
試験名称:AWS Certified DevOps Engineer - Professional (DOP-C01)
最近更新時間:2019-12-12
問題と解答:全 136
Amazon AWS-DevOps-Engineer-Professional 認定試験トレーリング

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模擬試験

試験コード:AWS-DevOps-Engineer-Professional
試験名称:AWS Certified DevOps Engineer - Professional (DOP-C01)
最近更新時間:2019-12-12
問題と解答:全 136
Amazon AWS-DevOps-Engineer-Professional 合格体験記

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オンライン版

試験コード:AWS-DevOps-Engineer-Professional
試験名称:AWS Certified DevOps Engineer - Professional (DOP-C01)
最近更新時間:2019-12-12
問題と解答:全 136
Amazon AWS-DevOps-Engineer-Professional 日本語受験教科書

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