AMAZON AWS-DEVOPS PRACTICE TEST FOR SUPREME ACHIEVEMENT 2025

Amazon AWS-DevOps Practice Test For Supreme Achievement 2025

Amazon AWS-DevOps Practice Test For Supreme Achievement 2025

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Tags: Reliable AWS-DevOps Dumps Files, Latest AWS-DevOps Exam Cram, AWS-DevOps VCE Dumps, AWS-DevOps Updated Dumps, Popular AWS-DevOps Exams

Therefore, you have the option to use Amazon AWS-DevOps PDF questions anywhere and anytime. AWS-DevOps dumps are designed according to the AWS Certified DevOps Engineer - Professional (AWS-DevOps) certification exam standard and have hundreds of questions similar to the actual AWS-DevOps Exam. BraindumpsPass AWS Certified DevOps Engineer - Professional (AWS-DevOps) web-based practice exam software also works without installation.

The AWS-DevOps Certification is intended for experienced professionals who have a strong understanding of DevOps principles and practices. Candidates must have a minimum of two years of experience working with AWS and at least five years of experience in software development or operations. AWS-DevOps exam consists of multiple-choice and multiple-response questions, and requires a passing score of 750 out of 1000 points. AWS Certified DevOps Engineer - Professional certification is valid for three years, and candidates must recertify by passing the exam again or by completing a professional development course. Achieving the AWS-DevOps certification can lead to career advancement opportunities and higher salaries in the IT industry.

AWS DOP-C01 Exam Certification Details:

Recommended Training / BooksDevOps Engineering on AWS
Number of Questions75
Exam Price$300 USD
Exam CodeDOP-C01
Duration180 minutes
Schedule ExamPEARSON VUE
Passing Score75%

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q283-Q288):

NEW QUESTION # 283
A DevOps Engineer is launching a new application that will be deployed using Amazon Route 53, an Application Load Balancer, Auto Scaling, and Amazon DynamoDB. One of the key requirements of this launch is that the application must be able to scale to meet a sudden load increase. During periods of low usage, the infrastructure components must scale down to optimize cost.
What steps can the DevOps Engineer take to meet the requirements? (Select TWO.)

  • A. Create an Amazon CloudWatch Events scheduled rule that runs every 5 minutes to track the current use of the Auto Scaling group. If usage has changed, trigger a scale-up event to adjust the capacity. Do the same for DynamoDB read and write capacities.
  • B. Determine which Amazon EC2 instance limits need to be raised by leveraging AWS Trusted Advisor, and submit a request to AWS Support to increase those limits.
  • C. Enable Auto Scaling for the DynamoDB tables that are used by the application.
  • D. Use AWS Trusted Advisor to submit limit increase requests for the Amazon EC2 instances that will be used by the infrastructure.
  • E. Configure the Application Load Balancer to automatically adjust the target group based on the current load.

Answer: C,E

Explanation:
Explanation/Reference: https://docs.aws.amazon.com/autoscaling/ec2/userguide/autoscaling-load-balancer.html


NEW QUESTION # 284
A company is setting up a centralized logging solution on AWS and has several requirements. The company wants its Amazon CloudWatch Logs and VPC Flow logs to come from different sub accounts and to be delivered to a single auditing account. However, the number of sub accounts keeps changing. The company also needs to index the logs in the auditing account to gather actionable insight. How should a DevOps Engineer implement the solution to meet all of the company's requirements?

  • A. Use Amazon Kinesis Streams to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and use Kinesis Data Streams in the sub accounts to stream the logs to the Kinesis stream in the auditing account.
  • B. Use Amazon Kinesis Firehose with Kinesis Data Streams to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and stream logs from sub accounts to the Kinesis stream in the auditing account.
  • C. Use AWS Lambda to write logs to Amazon ES in the auditing account. Create an Amazon CloudWatch subscription filter and use Amazon Kinesis Data Streams in the sub accounts to stream the logs to the Lambda function deployed in the auditing account.
  • D. Use AWS Lambda to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and use Lambda in the sub accounts to stream the logs to the Lambda function deployed in the auditing account.

Answer: B

Explanation:
https://aws.amazon.com/pt/blogs/architecture/central-logging-in-multi-account-environments/


NEW QUESTION # 285
You are hosting multiple environments in multiple regions and would like to use Amazon Inspector for regular security assessments on your AWS resources across all regions. Which statement about Amazon Inspector's operation across regions is true?

  • A. Amazon Inspector is hosted in each supported region separately. You have to create assessment targets using the same name and tags in each region and Amazon Inspector will run against each assessment target in each region.
  • B. Amazon Inspector is hosted in each supported region. Telemetry data and findings are shared across regions to provide complete assessment reports.
  • C. Amazon Inspector is a global service that is not region-bound. You can include AWS resources from multiple regions in the same assessment target.
  • D. Amazon Inspector is hosted within AWS regions behind a public endpoint. All regions are isolated from each other, and the telemetry and findings for all assessments performed within a region remain in that region and are not distributed by the service to other Amazon Inspector locations.

Answer: D

Explanation:
At this time, Amazon Inspector supports assessment services for EC2 instances in only the following AWS regions:
US West (Oregon)
US East (N. Virginia)
EU (Ireland)
Asia Pacific (Seoul)
Asia Pacific (Mumbai)
Asia Pacific (Tokyo)
Asia Pacific (Sydney)
Amazon Inspector is hosted within AWS regions behind a public endpoint. All regions are isolated from each other, and the telemetry and findings for all assessments performed within a region remain in that region and are not distributed by the service to other Amazon Inspector locations.
Reference:
https://docs.aws.amazon.com/inspector/latest/userguide/inspector_supported_os_regions.html#in spector_supported-regions


NEW QUESTION # 286
A healthcare company has a critical application running in AWS. Recently, the company experienced some down time. if it happens again, the company needs to be able to recover its application in another AWS Region. The application uses Elastic Load Balancing and Amazon EC2 instances. The company also maintains a custom AMI that contains its application. This AMI is changed frequently.
The workload is required to run in the primary region, unless there is a regional service disruption, in which case traffic should fail over to the new region. Additionally, the cost for the second region needs to be low. The RTO is 2 hours.
Which solution allows the company to fail over to another region in the event of a failure, and also meet the above requirements?

  • A. Automate the copying of the AMI in the main region to the backup region. Generate an AWS Lambda function that will create an EC2 instance from the AMI and place it behind a load balancer. Using the same Lambda function, point the Amazon Route 53 record to the load balancer in the backup region. Trigger the Lambda function in the event of a failure.
  • B. Place the AMI in a replicated Amazon S3 bucket. Generate an AWS Lambda function that can create a launch configuration and assign it to an already created Auto Scaling group. Have one instance in this Auto Scaling group ready to accept traffic. Trigger the Lambda function in the event of a failure. Use an Amazon Route 53 record and modify it with the same Lambda function to point to the load balancer in the backup region.
  • C. Maintain a copy of the AMI from the main region in the backup region. Create an Auto Scaling group with one instance using a launch configuration that contains the copied AMI. Use an Amazon Route 53 record to direct traffic to the load balancer in the backup region in the event of failure, as required. Allow the Auto Scaling group to scale out as needed during a failure.
  • D. Automate the copying of the AMI to the backup region. Create an AWS Lambda function that can create a launch configuration and assign it to an already created Auto Scaling group. Set the Auto Scaling group maximum size to 0 and only increase it with the Lambda function during a failure. Trigger the Lambda function in the event of a failure. Use an Amazon Route 53 record and modify it with the same Lambda function to point to the load balancer in the backup region.

Answer: B


NEW QUESTION # 287
When using Amazon SQS how much data can you store in a message?

  • A. 8 KB
  • B. 16 KB
  • C. 4 KB
  • D. 2 KB

Answer: A

Explanation:
With Amazon SQS version 2008-01-01, the maximum message size for both SOAP and Query requests is 8KB.
If you need to send messages to the queue that are larger than 8 KB, AWS recommends that you split the information into separate messages. Alternatively, you could use Amazon S3 or Amazon SimpleDB to hold the information and include the pointer to that information in the Amazon SQS message. If you send a message that is larger than 8KB to the queue, you will receive a MessageTooLong error with HTTP code 400.


NEW QUESTION # 288
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