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Amazon Web Services DOP-C01 Exam With Confidence Using Practice Dumps

Exam Code:
DOP-C01
Exam Name:
AWS Certified DevOps Engineer - Professional
Certification:
Amazon Web Services Other Certification
Vendor:
Amazon Web Services
Questions:
272
Last Updated:
Apr 4, 2025
Exam Status:
Stable
Amazon Web Services DOP-C01

DOP-C01: Amazon Web Services Other Certification Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified DevOps Engineer - Professional Questions and Answers

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Question 1

A company has a web application that uses an Amazon DynamoDB table in a single AWS Region to store user information. To support an increasingly global user base, the application must run in a secondary Region and allow users to connect to their closest Region and fail over to the secondary Region.

Which approach should be used to ensure the deployment meets these requirements?

Options:

A.

Configure DynamoDB streams to copy data between Regions, deploy the web stack in both Regions, and configure Amazon Route 53 to use a geoproximity routing policy with health checks.

B.

Convert the DynamoDB table to a global table, deploy the web stack in both Regions, and configure Amazon Route 53 to use a geoproximity routing policy with health checks.

C.

Define DynamoDB cross-region backups to copy data to the secondary Region, deploy the web stack in both Regions, and configure Amazon Route 53 to use a latency-based routing policy with health checks.

D.

Use DynamoDB Accelerator to copy data to the secondary Region, deploy the web stack in both Regions, and configure Amazon Route 53 to use a failover routing policy.

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Question 2

Company policies require that information about IP traffic going between instances in the production Amazon VPC is captured. The capturing mechanism must always be enabled and the Security team must be notified when any changes in configuration occur.

What should be done to ensure that these requirements are met?

Options:

A.

Using the UserData section of an AWS CloudFormation template, install tcpdump on every provisioned Amazon EC2 instance. The output of the tool is sent to Amazon EFS for aggregation and querying. In addition, scheduling an Amazon CloudWatch Events rule calls an AWS Lambda function to check whether tcpdump is up and running and sends an email to the security organization when there is an exception.

B.

Create a flow log for the production VPC and assign an Amazon S3 bucket as a destination for delivery. Using Amazon S3 Event Notification, set up an AWS Lambda function that is triggered when a new log file gets delivered. This Lambda function updates an entry in Amazon DynamoDB, which is periodically checked by scheduling an Amazon CloudWatch Events rule to notify security when logs have not arrived.

C.

Create a flow log for the production VPC. Create a new rule using AWS Config that is triggered by configuration changes of resources of type "˜EC2:VPC'. As part of configuring the rule, create an AWS Lambda function that looks up flow logs for a given VPC. If the VPC flow logs are not configured, return a "˜NON_COMPLIANT' status and notify the security organization.

D.

Configure a new trail using AWS CloudTrail service. Using the UserData section of an AWS CloudFormation template, install tcpdump on every provisioned Amazon EC2 instance. Connect Amazon Athena to the CloudTrail and write an AWS Lambda function that monitors for a flow log disable event. Once the CloudTrail entry has been spotted, alert the security organization

Question 3

A DevOps Engineer needs to deploy a scalable three-tier Node.js application in AWS. The application must have zero downtime during deployments and be able to roll back to previous versions. Other applications will also connect to the same MySQL backend database.

The CIO has provided the following guidance for logging:

*Centrally view all current web access server logs.

*Search and filter web and application logs in near-real time.

*Retain log data for three months.

How should these requirements be met?

Options:

A.

Deploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic Load Balancing and Auto Scaling. Create an Amazon RDS MySQL instance inside the Elastic Beanstalk stack. Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days.

B.

Deploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an Amazon RDS MySQL instance for the database tier. Configure the application to store log files in Amazon S3. Use Amazon EMR to search and filter the data. Set an Amazon S3 lifecycle rule to expire objects after 90 days.

C.

Deploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic Load Balancing and Auto Scaling. Create the Amazon RDS MySQL instance outside the Elastic Beanstalk stack. Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days.

D.

Deploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an Amazon RDS MySQL instance for the database tier. Configure the application to load streaming log data using Amazon Kinesis Data Firehouse into Amazon ES. Delete and create a new Amazon ES domain every 90 days.

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