100% Free Amazon DOP-C02 Practice Test Questions

Question 1

You have developed an app that lets users quickly upload and share image snippets across various platforms such as mobile app, desktop web browser, and third party instant messaging apps. Your app relies on a Lambda function that detects each request’s User-Agent and automatically sends a corresponding image resolution based on the device. You want to have a consistent and fast experience for all your users around the world.

Which of the following options will you implement?

A : Upload your function on S3 and set it as CloudFront origin to run it.

B : Deploy your function on Amazon API Gateway and set up an Edge-optimized API endpoint.

C : Create your function on Lambda and deploy it with Lambda@Edge.

D : Create your function on AWS Lambda and set it as a CloudFront origin.

Answer: C

Question 2

A company builds an application that uses an Application Load Balancer in front of Amazon EC2 instances

that are in an Auto Scaling group. The

application is stateless. The Auto Scaling group uses a custom AMI that is fully prebuilt. The EC2 instances

do not have a custom bootstrapping process.

The AMI that the Auto Scaling group uses was recently deleted. The Auto Scaling group's scaling activities

show failures because the AMI ID does not exist.

Which combination of steps should a DevOps engineer take to meet these requirements? (Select THREE.)

A : Create a new launch template that uses the new AMI.

B : Update the Auto Scaling group to use the new launch template.

C : Reduce the Auto Scaling group's desired capacity to O.

D : Increase the Auto Scaling group's desired capacity by I.

E : Create a new AMI from a running EC2 instance in the Auto Scaling group.

F : Create a new AMI by copying the most recent public AMI of the operating system that the EC2 instances use.

Answer: A,B,F

Question 3

An enterprise resource planning application is hosted in an Auto Scaling group of EC2 instances behind an Application Load Balancer which uses an Amazon DynamoDB table as its data store. For the application’s reporting module, there are five Lambda functions which are reading from the DynamoDB Streams of the table to count the number of products, monitor the inventory, generate reports, move new items to a Kinesis Data Firehose for analytics, and many more. The operations team discovered that in peak times, the Lambda functions are getting a stream throttling error and some of the requests fail which affects the performance of the reporting module.

Which of the following is the MOST scalable and cost-effective solution with the LEAST amount of operational overhead?

A : Refactor your architecture to use Amazon Kinesis Adapter for real-time processing of streaming data at a massive scale instead of directly consuming the stream using Lambda. Re-architect the reporting module to use Amazon Kinesis Data Analytics.

B : Use the Amazon CodeGuru service to optimize the codebase of the reporting module. Create a new global secondary index (GSI) in the DynamoDB table to improve the performance of the queries. Increase the allocated RCU of the table. Disable the Amazon DynamoDB streams and refactor the Lambda functions to directly query from the table. Refactor the reporting module to use Amazon Kinesis Data Analytics.

C : Create a new local secondary index (LSI) in the DynamoDB table to improve the performance of the queries. Double the allocated RCU of the table. Refactor the Lambda functions to directly query from the table and disable the DynamoDB streams. Increase the concurrency limits of each Lambda function to avoid throttling errors and set the ParallelizationFactor to 10. Re-architect the reporting module to use Amazon Kinesis Data Analytics.

D : Delete all of the Lambda functions and move all of the processing on an Amazon ECS Cluster with Auto Scaling enabled using AWS App Runner. Set up AWS Glue to consume the DynamoDB stream which will be processed by ECS. Re-factor the reporting module to use Amazon Kinesis Data Analytics.

Answer: A

Question 4

A leading e-commerce company has a payment portal that handles the payment and refund transactions of its online platform. The portal is hosted in an Auto Scaling group of On-Demand EC2 instances across three multiple Availability Zones in the US West (N. California) region. There is a new requirement to improve the system monitoring of the application as well to track the number of payment and refund transactions being done every minute. The DevOps team should also be notified if this metric breached the specified threshold.

Which of the following options provides the MOST cost-effective and automated solution that will satisfy the above requirement?

A : Configure the instances to push the number of payments and refund transactions to CloudWatch as a custom metric. Set up a CloudWatch alarm to notify the DevOps team using SNS when the threshold is breached. View statistical graphs of your published metrics with the AWS Management Console.

B : Set up an ELK stack that is composed of Elasticsearch, Logstash, and Kibana for log processing. Store the payments and refund transactions in each instance and configure Logstash to send the logs to Amazon ES. Set up a Kibana dashboard to view the data and the metric graphs.

C : Configure the instances to push the entire log of each payments and refund transactions to CloudWatch Events as a custom metric. Set up a CloudWatch alarm to notify the DevOps team using SNS when the threshold is breached. View statistical graphs of your published metrics with the AWS Management Console.

D : Configure the instances to push the number of payments and refund transactions to Amazon CloudWatch Logs as a custom metric. Develop a custom monitoring application using a Python-based Flask web application to view the metrics and host it in an Amazon EC2 instance.

Answer: A

Question 5

A company's security policies require the use of security hardened AMIS in production environments. A DevOps engineer has used EC2 Image Builder to create a pipeline that builds the AMIs on a recurring schedule. The DevOps engineer needs to update the launch templates of the companys Auto Scaling groups. The Auto Scaling groups must use the newest AMIS during the launch of Amazon EC2 instances. Which solution will meet these requirements with the MOST operational efficiency?

A : Configure an Amazon EventBridge rule to receive new AMI events from Image Builder. Target an AWS Systems Manager Run Command document that updates the launch templates of the Auto Scaling groups with the newest AMI ID.

B : Configure an Amazon EventBridge rule to receive new AMI events from Image Builder. Target an AWS Lambda function that updates the launch templates of the Auto Scaling groups with the newest AMI ID.

C : Configure the launch template to use a value from AWS Systems Manager Parameter Store for the AMI ID. Configure the Image Builder pipeline to update the Parameter Store value with the newest AMI ID.

D : Configure the Image Builder distribution settings to update the launch templates with the newest AMI ID. Configure the Auto Scaling groups to use the newest version of the launch template.

Answer: C

Free Practice Amazon DOP-C02 Exam Questions 2025