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100% Pass High-quality Amazon - AWS-DevOps-Engineer-Professional - Visual AWS Certified DevOps Engineer - Professional Cert Exam

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Posted on: 02/28/25

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The AWS Certified DevOps Engineer - Professional (DOP-C01) certification exam is designed for professionals who want to showcase their expertise in AWS DevOps practices and technologies. AWS Certified DevOps Engineer - Professional certification validates the candidate's ability to design, deploy, and manage scalable, highly available, and fault-tolerant AWS systems. It is a high-level certification that requires the candidate to have hands-on experience in DevOps practices and AWS technologies.

Amazon DOP-C01 exam is a certification exam for professionals who want to demonstrate their skills and knowledge in deploying, managing, and operating highly scalable and fault-tolerant systems on the AWS platform. It is designed to validate the skills required to automate and streamline the deployment, management, and monitoring of AWS-based applications.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q248-Q253):

NEW QUESTION # 248
Your serverless architecture using AWS API Gateway, AWS Lambda, and AWS DynamoDB experienced a large increase in traffic to a sustained 400 requests per second, and dramatically increased in failure rates. Your requests, during normal operation, last 500 milliseconds on average. Your DynamoDB table did not exceed 50% of provisioned throughput, and Table primary keys are designed correctly. What is the most likely issue?

  • A. Your AWS API Gateway Deployment is bottlenecking on request (de)serialization.
  • B. You used Consistent Read requests on DynamoDB and are experiencing semaphore lock.
  • C. Your API Gateway deployment is throttling your requests.
  • D. You did not request a limit increase on concurrent Lambda function executions.

Answer: D

Explanation:
AWS API Gateway by default throttles at 500 requests per second steady-state, and 1000 requests per second at spike. Lambda, by default, throttles at 100 concurrent requests for safety.
At 500 milliseconds (half of a second) per request, you can expect to support 200 requests per second at 100 concurrency. This is less than the 400 requests per second your system now requires. Make a limit increase request via the AWS Support Console.
AWS Lambda: Concurrent requests safety throttle per account -> 100
http://docs.aws.amazon.com/general/latest/gr/aws_service_limits.html#limits_lambda


NEW QUESTION # 249
You are planning on configuring logs for your Elastic Load balancer. At what intervals does the logs get produced by the Elastic Load balancer service. Choose 2 answers from the options given below

  • A. 5minutes
  • B. 30seconds
  • C. 1 minute
  • D. 60minutes

Answer: A,D

Explanation:
Explanation
The AWS Documentation mentions
Clastic Load Balancing publishes a log file for each load balancer node at the interval you specify. You can specify a publishing interval of either 5 minutes or 60 minutes when you enable the access log for your load balancer. By default. Elastic Load Balancing publishes logs at a 60-minute interval.
For more information on Elastic load balancer logs please see the below link:
* http://docs.aws.amazon.com/elasticloadbalancing/latest/classic/access-log-collection.html


NEW QUESTION # 250
Your application is currently running on Amazon EC2 instances behind a load balancer. Your management has decided to use a Blue/Green deployment strategy. How should you implement this for each deployment?

  • A. Launch more Amazon EC2 instances to ensure high availability, de-register each Amazon EC2 instance from the load balancer, upgrade it, and test it, and then register it again with the load balancer.
  • B. Create a new load balancer with new Amazon EC2 instances, carry out the deployment, and then switch DNS over to the new load balancer using Amazon Route 53 after testing.
  • C. Using AWS CloudFormation, create a test stack for validating the code, and then deploy the code to each production Amazon EC2 instance.
  • D. Set up Amazon Route 53 health checks to fail over from any Amazon EC2 instance that is currently being deployed to.

Answer: B

Explanation:
Explanation
The below diagram shows how this can be done

1) First create a new ELB which will be used to point to the new production changes.
2) Use the Weighted Route policy for Route53 to distribute the traffic to the 2 ELB's based on a 80-20% traffic scenario. This is the normal case, the % can be changed based on the requirement.
3) Finally when all changes have been tested, Route53 can be set to 100% for the new ELB.
Option A is incorrect because this is a failover scenario and cannot be used for Blue green deployments. In Blue Green deployments, you need to have 2 environments running side by side.
Option B is incorrect, because you need to a have a production stack with the changes which will run side by side.
Option D is incorrect because this is not a blue green deployment scenario. You cannot control which users will go the new EC2 instances.
For more information on blue green deployments, please refer to the below document link: from AWS
* https://dOawsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf


NEW QUESTION # 251
The development team is creating a social media game which ranks users on a scoreboard. The current implementation uses an Amazon RDS for MySQL database for storing user data; however, the game cannot display scores quickly enough during performance testing.
Which service would provide the fastest retrieval times?

  • A. Set up Amazon ElastiCache to deliver user and score content.
  • B. Use AWS Batch to compute and deliver user and score content.
  • C. Deploy Amazon CloudFront for user and score content delivery.
  • D. Migrate user data to Amazon DynamoDB for managing content.

Answer: A


NEW QUESTION # 252
If you're trying to configure an AWS Elastic Beanstalk worker tier for easy debugging if there are problems finishing queue jobs, what should you configure?

  • A. Configure a Dead Letter Queue
  • B. Configure Rolling Deployments.
  • C. Configure Enhanced Health Reporting
  • D. Configure Blue-Green Deployments.

Answer: A

Explanation:
Elastic Beanstalk worker environments support Amazon Simple Queue Service (SQS) dead letter queues. A dead letter queue is a queue where other (source) queues can send messages that for some reason could not be successfully processed. A primary benefit of using a dead letter queue is the ability to sideline and isolate the unsuccessfully processed messages. You can then analyze any messages sent to the dead letter queue to try to determine why they were not successfully processed.
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features-managing-env- tiers.html#worker-d eadletter


NEW QUESTION # 253
......

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