Summer Certification Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

DOP-C02 Exam Dumps : AWS Certified DevOps Engineer - Professional

PDF
DOP-C02 pdf
 Real Exam Questions and Answer
 Last Update: Jun 17, 2026
 Question and Answers: 449 With Explanation
 Compatible with all Devices
 Printable Format
 100% Pass Guaranteed
$25.5  $84.99
DOP-C02 exam
PDF + Testing Engine
DOP-C02 PDF + engine
 Both PDF & Practice Software
 Last Update: Jun 17, 2026
 Question and Answers: 449
 Discount Offer
 Download Free Demo
 24/7 Customer Support
$40.5  $134.99
Testing Engine
DOP-C02 Engine
 Desktop Based Application
 Last Update: Jun 17, 2026
 Question and Answers: 449
 Create Multiple Test Sets
 Questions Regularly Updated
  90 Days Free Updates
  Windows and Mac Compatible
$30  $99.99

Verified By IT Certified Experts

CertsTopics.com Certified Safe Files

Up-To-Date Exam Study Material

99.5% High Success Pass Rate

100% Accurate Answers

Instant Downloads

Exam Questions And Answers PDF

Try Demo Before You Buy

Certification Exams with Helpful Questions And Answers

AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company is developing an application that uses AWS Lambda functions. A DevOps engineer must create an AWS CloudFormation template that defines a deployment configuration for gradual traffic shifting to new Lambda function versions.

Which CloudFormation resource configuration will meet this requirement?

Options:

A.

Use an AWS::CodeDeploy::DeploymentConfig resource. Define a TimeBasedCanary configuration. Specify values for percentage and minutes for traffic shifting.

B.

Use an AWS::CodeDeploy::DeploymentGroup resource. Define the DeploymentStyle property as BLUE_GREEN. Configure the TrafficRoutingConfig data type for linear traffic shifting.

C.

Use an AWS::Lambda::Version resource with the VersionWeight property to control the percentage of traffic that is routed to the new Lambda function versions.

D.

Use an AWS::Lambda::Alias resource with the RoutingConfig property to specify weights for gradual traffic shifting between the Lambda function versions.

Buy Now
Question 2

A company is running a custom-built application that processes records. All the components run on Amazon EC2 instances that run in an Auto Scaling group. Each record ' s processing is a multistep sequential action that is compute-intensive. Each step is always completed in 5 minutes or less.

A limitation of the current system is that if any steps fail, the application has to reprocess the record from the beginning The company wants to update the architecture so that the application must reprocess only the failed steps.

What is the MOST operationally efficient solution that meets these requirements?

Options:

A.

Create a web application to write records to Amazon S3 Use S3 Event Notifications to publish to an Amazon Simple Notification Service (Amazon SNS) topic Use an EC2 instance to poll Amazon SNS and start processing Save intermediate results to Amazon S3 to pass on to the next step

B.

Perform the processing steps by using logic in the application. Convert the application code to run in a container. Use AWS Fargate to manage the container Instances. Configure the container to invoke itself to pass the state from one step to the next.

C.

Create a web application to pass records to an Amazon Kinesis data stream. Decouple the processing by using the Kinesis data stream and AWS Lambda functions.

D.

Create a web application to pass records to AWS Step Functions. Decouple the processing into Step Functions tasks and AWS Lambda functions.

Question 3

A company is storing 100 GB of log data in csv format in an Amazon S3 bucket SQL developers want to query this data and generate graphs to visualize it. The SQL developers also need an efficient automated way to store metadata from the csv file.

Which combination of steps will meet these requirements with the LEAST amount of effort? (Select THREE.)

Options:

A.

Fitter the data through AWS X-Ray to visualize the data.

B.

Filter the data through Amazon QuickSight to visualize the data.

C.

Query the data with Amazon Athena.

D.

Query the data with Amazon Redshift.

E.

Use the AWS Glue Data Catalog as the persistent metadata store.

F.

Use Amazon DynamoDB as the persistent metadata store.