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AWS-DevOps-Engineer-Professional PDF DEMO:

QUESTION NO: 1
A DevOps Engineer needs to deploy a scalable three-tier Node.js application in AWS. The application must have zero downtime during deployments and be able to roll back to previous versions. Other applications will also connect to the same MySQL backend database.
The CIO has provided the following guidance for logging:
* Centrally view all current web access server logs.
* Search and filter web and application logs in near-real time.
* Retain log data for three months.
How should these requirements be met?
A. Deploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic
Load Balancing and Auto Scaling. Create an Amazon RDS MySQL instance inside the Elastic Beanstalk stack. Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days.
B. Deploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an
Amazon RDS MySQL instance for the database tier. Configure the application to store log files in
Amazon S3. Use Amazon EMR to search and filter the data. Set an Amazon S3 lifecycle rule to expire objects after 90 days.
C. Deploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an
Amazon RDS MySQL instance for the database tier. Configure the application to load streaming log data using Amazon Kinesis Data Firehouse into Amazon ES. Delete and create a new Amazon ES domain every 90 days.
D. Deploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic
Load Balancing and Auto Scaling. Create the Amazon RDS MySQL instance outside the Elastic
Beanstalk stack. Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch
Logs. Set retention to 90 days.
Answer: A

QUESTION NO: 2
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

QUESTION NO: 3
A company used AWS CloudFormation to deploy a three-tier web application that stores data in an Amazon RDS MySOL Multi-AZ DB instance. A DevOps Engineer must upgrade the RDS instance to the latest major version of MySQL while incurring minimal downtime.
How should the Engineer upgrade the instance while minimizing downtime?
A. Update the EngineVersion property of the AWS :: RDS :: DBInstance resource type in the
CloudFormation template to the latest version, and perform an Update Stack operation.
B. Update the EngineVersion property of the AWS::RDS:: DBInstance resource type in the
CloudFormation template to the latest desired version. Launch a second stack and make the new RDS instance a read replica.
C. Update the DBEngineVersion property of the AWS: : RDS : :DBInstance resource type in the
CloudFormation template to the latest desired version. Perform an Update Stack operation. Create a new RDS Read Replicas resource with the same properties as the instance to be upgraded. Perform a second Update Stack operation.
D. Update the DBEngineVersion property of the AWS: :RDS: :DB:Instance resource type in the
CloudFormation template to the latest desired version. Create a new RDS Read Replicas resource with the same properties as the instance to be upgraded. Perform an Update Stack operation.
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
A company is using AWS for an application. The Development team must automate its deployments. The team has set up an AWS CodePipeline to deploy the application to Amazon EC2 instances by using AWS CodeDeploy after it has been built using the AWS CodeBuild service.
The team would like to add automated testing to the pipeline to confirm that the application is healthy before deploying it to the next stage of the pipeline using the same code. The team requires a manual approval action before the application is deployed, even if the test is successful. The testing and approval must be accomplished at the lowest costs, using the simplest management solution.
Which solution will meet these requirements?
A. Add a test action after the last deploy action of the pipeline. Configure the action to use CodeBuild to perform the required tests. If these tests are successful, mark the action as successful. Add a manual approval action that uses Amazon SNS to notify the team, and add a deploy action to deploy the application to the next stage.
B. Add a test action after the last deployment action. Use a Jenkins server on Amazon EC2 to do the required tests and mark the action as successful if the tests pass. Create a manual approval action that uses Amazon SQS to notify the team and add a deploy action to deploy the application to the next stage.
C. Add a manual approval action after the last deploy action of the pipeline. Use Amazon SNS to inform the team of the stage being triggered. Next, add a test action using CodeBuild to do the required tests. At the end of the pipeline, add a deploy action to deploy the application to the next stage.
D. Create a new pipeline that uses a source action that gets the code from the same repository as the first pipeline. Add a deploy action to deploy the code to a test environment. Use a test action using
AWS Lambda to test the deployment. Add a manual approval action by using Amazon SNS to notify the team, and add a deploy action to deploy the application to the next stage.
Answer: C

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Updated: Nov 15, 2019

AWS-DevOps-Engineer-Professional 模擬問題集 - AWS-DevOps-Engineer-Professional 日本語関連対策 & AWS Certified DevOps Engineer Professional (DOP C01)

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:2019-11-17
問題と解答:全 136
Amazon AWS-DevOps-Engineer-Professional 日本語解説集

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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:2019-11-17
問題と解答:全 136
Amazon AWS-DevOps-Engineer-Professional 復習資料

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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:2019-11-17
問題と解答:全 136
Amazon AWS-DevOps-Engineer-Professional 日本語試験対策

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AWS-DevOps-Engineer-Professional 認定試験

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