Free AWS-DEVOPS-ENGINEER-PROFESSIONAL Exam Braindumps (page: 4)

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A company is using Amazon EC2 for various workloads. Company policy requires that instances be managed centrally to standardize con gurations. These con gurations include standard logging, metrics, security assessments, and weekly patching.
How can the company meet these requirements? (Choose three.)

  1. Use AWS Con g to ensure all EC2 instances are managed by Amazon Inspector.
  2. Use AWS Con g to ensure all EC2 instances are managed by AWS Systems Manager.
  3. Use AWS Systems Manager to install and manage Amazon Inspector, Systems Manager Patch Manager, and the Amazon CloudWatch agent on all instances.
  4. Use Amazon Inspector to install and manage AWS Systems Manager, Systems Manager Patch Manager, and the Amazon CloudWatch agent on all instances.
  5. Use AWS Systems Manager maintenance windows with Systems Manager Run Command to schedule Systems Manager Patch Manager tasks. Use the Amazon CloudWatch agent to schedule Amazon Inspector assessment runs.
  6. Use AWS Systems Manager maintenance windows with Systems Manager Run Command to schedule Systems Manager Patch Manager tasks. Use Amazon CloudWatch Events to schedule Amazon Inspector assessment runs.

Answer(s): B,C,F



A business has an application that consists of ve 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?

  1. Modify the CodeBuild projects within the pipeline to use a compute type with more available network throughput.
  2. Create a custom CodeBuild execution environment that includes a symmetric multiprocessing con guration to run the builds in parallel.
  3. Modify the CodePipeline con guration to execute actions for each Lambda function in parallel by specifying the same runOrder.
  4. Modify each CodeBuild project to run within a VPC and use dedicated instances to increase throughput.

Answer(s): C



A company is creating a software solution that executes a speci c 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?

  1. 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.
  2. 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.
  3. 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.
  4. 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.

Answer(s): B



A DevOps Engineer administers an application that manages video les 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 les 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?

  1. 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.
  2. 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.
  3. 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.
  4. 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 noti cations. In the second region, launch the application from the CloudFormation template and restore the database from the most recent snapshot.

Answer(s): A



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