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Achieving the AWS Certified DevOps Engineer - Professional certification demonstrates a high level of expertise in designing and implementing DevOps practices in an AWS environment. It validates an individual's skills in automating and optimizing AWS services, building and managing continuous delivery pipelines, and implementing security and compliance policies. Obtaining this certification can enhance an individual's career prospects and open up new opportunities in the rapidly growing field of DevOps.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q512-Q517):

NEW QUESTION # 512
An application is being deployed with two Amazon EC2 Auto Scaling groups, each configured with an Application Load Balancer. The application is deployed to one of the Auto Scaling groups and an Amazon Route 53 alias record is pointed to the Application Load Balancer of the last deployed Auto Scaling group. Deployments alternate between the two Auto Scaling groups.
Home security devices are making requests into the application. The Development team notes that new requests are coming into the old stack days after the deployment. The issue is caused by devices that are not observing the Time to Live (TTL) setting on the Amazon Route 53 alias record. What steps should the DevOps Engineer take to address the issue with requests coming to the old stacks, while creating minimal additional resources?

A. Reduce the application to one Application Load Balancer. Create two target groups named Blue and Green. Create a rule on the Application Load Balancer pointed to a single target group. Add logic to the deployment to update the Application Load Balancer rule to the target group of the newly deployed Auto Scaling group.
B. Move the application to an AWS Elastic Beanstalk application with two environments. Perform new deployments on the non-live environment. After a deployment, perform an Elastic Beanstalk CNAME swap to make the newly deployed environment the live environment.
C. Create an Amazon CloudFront distribution. Set the two existing Application Load Balancers as origins on the distribution. After a deployment, update the CloudFront distribution behavior to send requests to the newly deployed Auto Scaling group.
D. Create a fleet of Amazon EC2 instances running HAProxy behind an Application Load Balancer.
The HAProxy instances will proxy the requests to one of the existing Auto Scaling groups. After a deployment the HAProxy instances are updated to send requests to the newly deployed Auto Scaling group.

Answer: A

NEW QUESTION # 513
A company must ensure consistent behavior of an application running on Amazon Linux in its corporate ecosystem before moving into AWS. The company has an existing automated server build system using VMware. The goal is to demonstrate the functionality of the application and its prerequisites on the new target operating system. The DevOps Engineer needs to use the existing corporate server pipeline and virtualization software to create a server image. The server image will be tested on- premises to resemble the build on Amazon EC2 as closely as possible. How can this be accomplished?

A. Download and integrate the latest ISO of CentOS 7 and execute the application deployment on the resulting server.
B. Download and integrate the latest ISO of Amazon Linux 2 and execute the application deployment on the resulting server. Confirm that operating system testing results are consistent with EC2 operating system behavior.
C. Launch an Amazon Linux AMI using an AWS OpsWorks deployment agent onto the on-premises infrastructure, then execute the application deployment.
D. Build an EC2 instance with the latest Amazon Linux operating system, and use the AWS Import/Export service to export the EC2 image to a VMware ISO in Amazon S3. Then import the resulting ISO onto the on-premises system.

Answer: B

NEW QUESTION # 514
When a user is detaching an EBS volume from a running instance and attaching it to a new instance, which of the below mentioned options should be followed to avoid file system damage?

A. Stop all the I/O of the volume before processing
B. Take a snapshot of the volume before detaching
C. Force Detach the volume to ensure that all the data stays intact
D. Unmount the volume first

Answer: D

Explanation:
When a user is trying to detach an EBS volume, the user can either terminate the instance or explicitly remove the volume. It is a recommended practice to unmount the volume first to avoid any file system damage.

NEW QUESTION # 515
What is the maximum supported single-volume throughput on EBS?

A. 320MiB/s
B. 40MiB/s
C. 640MiB/s
D. 160MiB/s

Answer: A

Explanation:
The ceiling throughput for PIOPS on EBS is 320MiB/s.
Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSVolumeTypes.html

NEW QUESTION # 516
You are hired as the new head of operations for a SaaS company. Your CTO has asked you to make debugging any part of your entire operation simpler and as fast as possible. She complains that she has no idea what is going on in the complex, service-oriented architecture, because the developers just log to disk, and it's very hard to find errors in logs on so many services. How can you best meet this requirement and satisfy your CTO?

A. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration on the <code>PutBucket</code> event and publish events to AWS Lambda. Use the Lambda to analyze logs as soon as they come in and flag issues.
B. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration on the <code>PutBucket</code> event and publish events to AWS Kinesis. Use Apache Spark on AWS EMR to perform at-scale stream processing queries on the log chunks and flag issues.
C. Begin using CloudWatch Logs on every service. Stream all Log Groups into S3 objects. Use AWS EMR cluster jobs to perform ad-hoc MapReduce analysis and write new queries when needed.
D. Begin using CloudWatch Logs on every service. Stream all Log Groups into an AWS Elasticsearch Service Domain running Kibana 4 and perform log analysis on a search cluster.

Answer: D

Explanation:
The Elasticsearch and Kibana 4 combination is called the ELK Stack, and is designed specifically for real-time, ad-hoc log analysis and aggregation. All other answers introduce extra delay or require pre-defined queries.
Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud. Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and click stream analytics.
https://aws.amazon.com/elasticsearch-service/

NEW QUESTION # 517
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