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Amazon DOP-C02 Exam Overview:

Certification Vendor:Amazon Web Services (AWS)
Exam Name:AWS Certified DevOps Engineer - Professional
Exam Number:DOP-C02
Available Languages:Japanese, Simplified Chinese, English, Korean
Real Exam Qty:75
Exam Duration:180 minutes
Exam Price:USD 300
Passing Score:720 (on a 100-1000 point scale, 72%)
Exam Format:Multiple-choice (single response), Multiple-choice (multiple response)
Related Certifications:AWS Certified Solutions Architect - Professional
AWS Certified Developer - Associate
AWS Certified SysOps Administrator - Associate
Certificate Validity Period:3 years
Sample Questions:Amazon DOP-C02 Sample Questions
Exam Way:In-person at Pearson VUE testing centers or online proctored exam
Pre Condition:Recommended: One of the following Associate-level certifications or equivalent experience:- AWS Certified Solutions Architect - Associate- AWS Certified Developer - Associate- AWS Certified SysOps Administrator - AssociateRecommended work experience: 2+ years of experience in provisioning, operating, and managing AWS environments
Official Syllabus URL:https://aws.amazon.com/certification/certified-devops-engineer-professional/

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To take the Amazon DOP-C02 Exam, candidates must have a good understanding of various DevOps practices and tools, including continuous integration, continuous delivery, automation, monitoring, and infrastructure as code. They should also be familiar with AWS services such as EC2, S3, RDS, and CloudFormation, and should be able to use them to build and deploy complex systems.

Amazon DOP-C02 certification exam is designed to test an individual's ability to implement and manage a DevOps environment on the AWS platform. This includes designing and implementing continuous delivery systems, continuous integration, and continuous deployment systems. It also measures an individual's knowledge of monitoring, logging, and metrics systems on the AWS platform, as well as their ability to implement and manage security and compliance policies.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q291-Q296):

NEW QUESTION # 291
A company has an application and a CI/CD pipeline. The CI/CD pipeline consists of an AWS CodePipeline pipeline and an AWS CodeBuild project. The CodeBuild project runs tests against the application as part of the build process and outputs a test report. The company must keep the test reports for 90 days.
Which solution will meet these requirements?

Answer: B

Explanation:
The correct solution is to add a report group in the AWS CodeBuild project buildspec file with the appropriate path and format for the reports. Then, create an Amazon S3 bucket to store the reports. You should configure an Amazon EventBridge rule that invokes an AWS Lambda function to copy the reports to the S3 bucket when a build is completed. Finally, create an S3 Lifecycle rule to expire the objects after 90 days. This approach allows for the automated transfer of reports to long-term storage and ensures they are retained for the required duration without manual intervention1.
AWS CodeBuild User Guide on test reporting1.
AWS CodeBuild User Guide on working with report groups2.
AWS Documentation on using AWS CodePipeline with AWS CodeBuild3.


NEW QUESTION # 292
A company has a single AWS account that runs hundreds of Amazon EC2 instances in a single AWS Region.
New EC2 instances are launched and terminated each hour in the account. The account also includes existing EC2 instances that have been running for longer than a week.
The company's security policy requires all running EC2 instances to use an EC2 instance profile. If an EC2 instance does not have an instance profile attached, the EC2 instance must use a default instance profile that has no IAM permissions assigned.
A DevOps engineer reviews the account and discovers EC2 instances that are running without an instance profile. During the review, the DevOps engineer also observes that new EC2 instances are being launched without an instance profile.
Which solution will ensure that an instance profile is attached to all existing and future EC2 instances in the Region?

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/config/latest/developerguide/ec2-instance-profile-attached.html


NEW QUESTION # 293
A company runs applications on Windows and Linux Amazon EC2 instances The instances run across multiple Availability Zones In an AWS Region. The company uses Auto Scaling groups for each application.
The company needs a durable storage solution for the instances. The solution must use SMB for Windows and must use NFS for Linux. The solution must also have sub-millisecond latencies. All instances will read and write the data.
Which combination of steps will meet these requirements? (Select THREE.)

Answer: A,D,F

Explanation:
Create an Amazon Elastic File System (Amazon EFS) File System with Targets in Multiple Availability Zones:
Amazon EFS provides a scalable and highly available network file system that supports the NFS protocol.
EFS is ideal for Linux instances as it allows multiple instances to read and write data concurrently.
Setting up EFS with targets in multiple Availability Zones ensures high availability and durability.
Reference: Amazon EFS Overview
Create an Amazon FSx for NetApp ONTAP Multi-AZ File System:
Amazon FSx for NetApp ONTAP offers a fully managed file storage solution that supports both SMB for Windows and NFS for Linux.
The Multi-AZ deployment ensures high availability and durability, providing sub-millisecond latencies suitable for the application's performance requirements.
Reference: Amazon FSx for NetApp ONTAP
Update the User Data for Each Application's Launch Template to Mount the File System:
Updating the user data in the launch template ensures that every new instance launched by the Auto Scaling group will automatically mount the appropriate file system.
This step is necessary to ensure that all instances can access the shared storage without manual intervention.
Example user data for mounting EFS (Linux)
#!/bin/bash
sudo yum install -y amazon-efs-utils
sudo mount -t efs fs-12345678:/ /mnt/efs
Example user data for mounting FSx (Windows):
By implementing these steps, the company can provide a durable storage solution with sub-millisecond latencies that supports both SMB and NFS protocols, meeting the requirements for both Windows and Linux instances.
References:
Mounting EFS File Systems
Mounting Amazon FSx File Systems


NEW QUESTION # 294
A video-sharing company stores its videos in Amazon S3. The company has observed a sudden increase in video access requests, but the company does not know which videos are most popular. The company needs to identify the general access pattern for the video files. This pattern includes the number of users who access a certain file on a given day, as well as the numb A DevOps engineer manages a large commercial website that runs on Amazon EC2 The website uses Amazon Kinesis Data Streams to collect and process web togs The DevOps engineer manages the Kinesis consumer application, which also runs on Amazon EC2 Sudden increases of data cause the Kinesis consumer application to (all behind and the Kinesis data streams drop records before the records can be processed The DevOps engineer must implement a solution to improve stream handling Which solution meets these requirements with the MOST operational efficiency'' er of pull requests for certain files.
How can the company meet these requirements with the LEAST amount of effort?

Answer: C

Explanation:
Activating S3 server access logging and using Amazon Athena to create an external table with the log files is the easiest and most cost-effective way to analyze access patterns. This option requires minimal setup and allows for quick analysis of the access patterns with SQL queries. Additionally, Amazon Athena scales automatically to match the query load, so there is no need for additional infrastructure provisioning or management.


NEW QUESTION # 295
A company's application uses a fleet of Amazon EC2 On-Demand Instances to analyze and process data. The EC2 instances are in an Auto Scaling group. The Auto Scaling group is a target group for an Application Load Balancer (ALB). The application analyzes critical data that cannot tolerate interruption. The application also analyzes noncritical data that can withstand interruption.
The critical data analysis requires quick scalability in response to real-time application demand. The noncritical data analysis involves memory consumption. A DevOps engineer must implement a solution that reduces scale-out latency for the critical data. The solution also must process the noncritical data.
Which combination of steps will meet these requirements? (Select TWO.)

Answer: A,C

Explanation:
* For the critical data, using a warm pool1 can reduce the scale-out latency by having pre-initialized EC2 instances ready to serve the application traffic. Using On-Demand Instances can ensure that the instances are always available and not interrupted by Spot interruptions2.
* For the noncritical data, using a second Auto Scaling group with Spot Instances can reduce the cost and leverage the unused capacity of EC23. Using a launch template with the CloudWatch agent4 can enable the collection of memory utilization metrics, which can be used to scale the group based on the memory demand. Adding the second group as a target group for the ALB and modifying the application to use two target groups can enable routing the traffic based on the data type.
References: 1: Warm pools for Amazon EC2 Auto Scaling 2: Amazon EC2 On-Demand Capacity Reservations 3: Amazon EC2 Spot Instances 4: Metrics collected by the CloudWatch agent


NEW QUESTION # 296
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