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Amazon DOP-C02 Exam Overview:

Certification Vendor:Amazon Web Services (AWS)
Exam Name:AWS Certified DevOps Engineer - Professional (DOP-C02)
Exam Number:DOP-C02
Available Languages:English, Korean, Simplified Chinese, Japanese
Exam Price:$300 USD
Certificate Validity Period:3 years
Exam Format:Multiple response, Multiple choice
Real Exam Qty:Approximately 65–75
Related Certifications:AWS Certified Developer – Associate
AWS Certified SysOps Administrator – Associate
AWS Certified Solutions Architect – Associate
AWS Certified Solutions Architect – Professional
Exam Duration:180 minutes
Passing Score:750 (scaled score out of 1000)
Recommended Training:AWS Skill Builder - DevOps Engineer Professional
AWS Training and Certification Official Courses
Exam Registration:Pearson VUE AWS Exams
AWS Certification Registration Portal
Sample Questions:Amazon DOP-C02 Sample Questions
Exam Way:Online proctored exam or testing center (Pearson VUE)
Pre Condition:No formal prerequisites required. AWS recommends 2+ years of experience provisioning, operating, and managing AWS environments and 1+ years of experience automating AWS workloads.
Official Syllabus URL:https://aws.amazon.com/certification/certified-devops-engineer-professional/

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To become an AWS Certified DevOps Engineer - Professional, candidates must possess a strong understanding of AWS services, such as Elastic Compute Cloud (EC2), Elastic Beanstalk, and Amazon Simple Storage Service (S3), as well as proficiency in continuous integration and continuous delivery (CI/CD) practices. The DOP-C02 exam consists of 75 multiple-choice and multiple-response questions, and candidates have 180 minutes to complete the exam. The passing score for this certification is 750 out of 1000.

The DOP-C02 Certification Exam is intended for professionals who have already achieved the AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate certification. To be eligible for the exam, candidates must have at least two years of experience in deploying and managing AWS-based applications using DevOps practices.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q352-Q357):

NEW QUESTION # 352
A DevOps engineer is planning to deploy a Ruby-based application to production. The application needs to interact with an Amazon RDS for MySQL database and should have automatic scaling and high availability. The stored data in the database is critical and should persist regardless of the state of the application stack.
The DevOps engineer needs to set up an automated deployment strategy for the application with automatic rollbacks. The solution also must alert the application team when a deployment fails.
Which combination of steps will meet these requirements? (Select THREE.)

Answer: B,D,F

Explanation:
For deploying a Ruby-based application with requirements for interaction with an Amazon RDS for MySQL database, automatic scaling, high availability, and data persistence, the following steps will meet the requirements:
B . Deploy the application on AWS Elastic Beanstalk. Deploy a separate Amazon RDS for MySQL DB instance outside of Elastic Beanstalk. This approach ensures that the database persists independently of the Elastic Beanstalk environment, which can be torn down and recreated without affecting the database123.
E . Use the immutable deployment method to deploy new application versions. Immutable deployments provide a zero-downtime deployment method that ensures that if any part of the deployment process fails, the environment is rolled back to the original state automatically4.
D . Configure an Amazon EventBridge rule to monitor AWS Health events. Use an Amazon Simple Notification Service (Amazon SNS) topic as a target to alert the application team. This setup allows for automated monitoring and alerting of the application team in case of deployment failures or other health events56.
:
AWS Elastic Beanstalk documentation on deploying Ruby applications1.
AWS documentation on application auto-scaling7.
AWS documentation on automated deployment strategies with automatic rollbacks and alerts456.


NEW QUESTION # 353
A company has a mobile application that makes HTTP API calls to an Application Load Balancer (ALB). The ALB routes requests to an AWS Lambda function. Many different versions of the application are in use at any given time, including versions that are in testing by a subset of users. The version of the application is defined in the user-agent header that is sent with all requests to the API.
After a series of recent changes to the API, the company has observed issues with the application. The company needs to gather a metric for each API operation by response code for each version of the application that is in use. A DevOps engineer has modified the Lambda function to extract the API operation name, version information from the user-agent header and response code.
Which additional set of actions should the DevOps engineer take to gather the required metrics?

Answer: B

Explanation:
Explanation
"Note that the metric filter is different from a log insights query, where the experience is interactive and provides immediate search results for the user to investigate. No automatic action can be invoked from an insights query. Metric filters, on the other hand, will generate metric data in the form of a time series. This lets you create alarms that integrate into your ITSM processes, execute AWS Lambda functions, or even create anomaly detection models."
https://aws.amazon.com/blogs/mt/quantify-custom-application-metrics-with-amazon-cloudwatch-logs-and-metri


NEW QUESTION # 354
A company is using AWS Organizations to centrally manage its AWS accounts. The company has turned on AWS Config in each member account by using AWS Cloud Formation StackSets The company has configured trusted access in Organizations for AWS Config and has configured a member account as a delegated administrator account for AWS Config A DevOps engineer needs to implement a new security policy The policy must require all current and future AWS member accounts to use a common baseline of AWS Config rules that contain remediation actions that are managed from a central account Non-administrator users who can access member accounts must not be able to modify this common baseline of AWS Config rules that are deployed into each member account Which solution will meet these requirements?

Answer: C

Explanation:
The correct answer is D. Creating an AWS Config conformance pack that contains the AWS Config rules and remediation actions and deploying it from the delegated administrator account by using AWS Config will meet the requirements. A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a region or across an organization in AWS Organizations1. By using the delegated administrator account, the DevOps engineer can centrally manage the conformance pack and prevent non-administrator users from modifying it in the member accounts. Option A is incorrect because creating a CloudFormation template that contains the AWS Config rules and remediation actions and deploying it from the Organizations management account by using CloudFormation StackSets will not prevent non-administrator users from modifying the AWS Config rules in the member accounts. Option B is incorrect because deploying the conformance pack from the Organizations management account by using CloudFormation StackSets will not use the trusted access feature of AWS Config and will require additional permissions and resources. Option C is incorrect because creating a CloudFormation template that contains the AWS Config rules and remediation actions and deploying it from the delegated administrator account by using AWS Config will not leverage the benefits of conformance packs, such as simplified deployment and management. Reference:
Conformance Packs - AWS Config
Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 176)


NEW QUESTION # 355
A company's developers use Amazon EC2 instances as remote workstations. The company is concerned that users can create or modify EC2 security groups to allow unrestricted inbound access.
A DevOps engineer needs to develop a solution to detect when users create unrestricted security group rules.
The solution must detect changes to security group rules in near real time, remove unrestricted rules, and send email notifications to the security team. The DevOps engineer has created an AWS Lambda function that checks for security group ID from input, removes rules that grant unrestricted access, and sends notifications through Amazon Simple Notification Service (Amazon SNS).
What should the DevOps engineer do next to meet the requirements?

Answer: B

Explanation:
Explanation
To meet the requirements, the DevOps engineer should create an Amazon EventBridge event rule that has the default event bus as the source. The rule's event pattern should match EC2 security group creation and modification events, and it should be configured to invoke the Lambda function. This solution will allow for near real-time detection of security group rule changes and will trigger the Lambda function to remove any unrestricted rules and send email notifications to the security team.
https://repost.aws/knowledge-center/monitor-security-group-changes-ec2


NEW QUESTION # 356
A company has configured an Amazon S3 event source on an AWS Lambda function The company needs the Lambda function to run when a new object is created or an existing object IS modified In a particular S3 bucket The Lambda function will use the S3 bucket name and the S3 object key of the incoming event to read the contents of the created or modified S3 object The Lambda function will parse the contents and save the parsed contents to an Amazon DynamoDB table.
The Lambda function's execution role has permissions to read from the S3 bucket and to write to the DynamoDB table, During testing, a DevOps engineer discovers that the Lambda function does not run when objects are added to the S3 bucket or when existing objects are modified.
Which solution will resolve this problem?

Answer: D

Explanation:
Option A is incorrect because increasing the memory of the Lambda function does not address the root cause of the problem, which is that the Lambda function is not triggered by the S3 event source. Increasing the memory of the Lambda function might improve its performance or reduce its execution time, but it does not affect its invocation. Moreover, increasing the memory of the Lambda function might incur higher costs, as Lambda charges based on the amount of memory allocated to the function.
Option B is correct because creating a resource policy on the Lambda function to grant Amazon S3 the permission to invoke the Lambda function for the S3 bucket is a necessary step to configure an S3 event source. A resource policy is a JSON document that defines who can access a Lambda resource and under what conditions. By granting Amazon S3 permission to invoke the Lambda function, the company ensures that the Lambda function runs when a new object is created or an existing object is modified in the S3 bucket1.
Option C is incorrect because configuring an Amazon Simple Queue Service (Amazon SQS) queue as an On- Failure destination for the Lambda function does not help with triggering the Lambda function. An On-Failure destination is a feature that allows Lambda to send events to another service, such as SQS or Amazon Simple Notification Service (Amazon SNS), when a function invocation fails. However, this feature only applies to asynchronous invocations, and S3 event sources use synchronous invocations. Therefore, configuring an SQS queue as an On-Failure destination would have no effect on the problem.
Option D is incorrect because provisioning space in the /tmp folder of the Lambda function does not address the root cause of the problem, which is that the Lambda function is not triggered by the S3 event source.
Provisioning space in the /tmp folder of the Lambda function might help with processing large files from the S3 bucket, as it provides temporary storage for up to 512 MB of data. However, it does not affect the invocation of the Lambda function.
References:
Using AWS Lambda with Amazon S3
Lambda resource access permissions
AWS Lambda destinations
[AWS Lambda file system]


NEW QUESTION # 357
......

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