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Amazon DOP-C02 certification exam is designed for professionals who are interested in validating their expertise in deploying and managing applications on the AWS platform using DevOps practices. AWS Certified DevOps Engineer - Professional certification exam is intended for individuals who already have experience working with AWS services and DevOps practices, and who are looking to further their knowledge and skills in this area. DOP-C02 Exam covers a wide range of topics including continuous integration and delivery, infrastructure as code, monitoring and logging, security, and compliance.
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Amazon DOP-C02 Certification is a valuable credential for IT professionals who want to validate their expertise in DevOps and AWS. AWS Certified DevOps Engineer - Professional certification exam tests the candidate's knowledge and skills in various areas related to DevOps, and passing the exam demonstrates the candidate's ability to design, deploy, and manage AWS services using DevOps methodologies. Candidates can prepare for the exam by leveraging their experience with AWS services and DevOps practices and taking advantage of various resources provided by AWS.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q78-Q83):
NEW QUESTION # 78
A company's DevOps engineer is working in a multi-account environment. The company uses AWS Transit Gateway to route all outbound traffic through a network operations account. In the network operations account all account traffic passes through a firewall appliance for inspection before the traffic goes to an internet gateway.
The firewall appliance sends logs to Amazon CloudWatch Logs and includes event seventies of CRITICAL, HIGH, MEDIUM, LOW, and INFO. The security team wants to receive an alert if any CRITICAL events occur.
What should the DevOps engineer do to meet these requirements?
- A. Create an Amazon CloudWatch Synthetics canary to monitor the firewall state. If the firewall reaches a CRITICAL state or logs a CRITICAL event use a CloudWatch alarm to publish a notification to an Amazon Simple Notification Service (Amazon SNS) topic Subscribe the security team's email address to the topic.
- B. Use AWS Firewall Manager to apply consistent policies across all accounts. Create an Amazon.EventBridge event rule that is invoked by Firewall Manager events that are CRITICAL Define an Amazon Simple Notification Service (Amazon SNS) topic as a target Subscribe the security team's email address to the topic.
- C. Enable Amazon GuardDuty in the network operations account. Configure GuardDuty to monitor flow logs Create an Amazon EventBridge event rule that is invoked by GuardDuty events that are CRITICAL Define an Amazon Simple Notification Service (Amazon SNS) topic as a target Subscribe the security team's email address to the topic.
- D. Create an Amazon CloudWatch metric filter by using a search for CRITICAL events Publish a custom metric for the finding. Use a CloudWatch alarm based on the custom metric to publish a notification to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the security team's email address to the topic.
Answer: D
Explanation:
Explanation
"The firewall appliance sends logs to Amazon CloudWatch Logs and includes event severities of CRITICAL, HIGH, MEDIUM, LOW, and INFO"
NEW QUESTION # 79
A company has an AWS CodePipeline pipeline that is configured with an Amazon S3 bucket in the eu-west-1 Region. The pipeline deploys an AWS Lambda application to the same Region. The pipeline consists of an AWS CodeBuild project build action and an AWS CloudFormation deploy action.
The CodeBuild project uses the aws cloudformation package AWS CLI command to build an artifact that contains the Lambda function code's .zip file and the CloudFormation template. The CloudFormation deploy action references the CloudFormation template from the output artifact of the CodeBuild project's build action.
The company wants to also deploy the Lambda application to the us-east-1 Region by using the pipeline in eu-west-1. A DevOps engineer has already updated the CodeBuild project to use the aws cloudformation package command to produce an additional output artifact for us-east-1.
Which combination of additional steps should the DevOps engineer take to meet these requirements? (Choose two.)
- A. Modify the CloudFormation template to include a parameter for the Lambda function code's zip file location. Create a new CloudFormation deploy action for us-east-1 in the pipeline. Configure the new deploy action to pass in the us-east-1 artifact location as a parameter override.
- B. Create an S3 bucket in us-east-1. Configure the S3 bucket policy to allow CodePipeline to have read and write access.
- C. Create an S3 bucket in us-east-1. Configure S3 Cross-Region Replication (CRR) from the S3 bucket in eu-west-1 to the S3 bucket in us-east-1.
- D. Modify the pipeline to include the S3 bucket for us-east-1 as an artifact store. Create a new CloudFormation deploy action for us-east-1 in the pipeline. Configure the new deploy action to use the CloudFormation template from the us-east-1 output artifact.
- E. Create a new CloudFormation deploy action for us-east-1 in the pipeline. Configure the new deploy action to use the CloudFormation template from the us-east-1 output artifact.
Answer: A,E
Explanation:
A) The CloudFormation template should be modified to include a parameter that indicates the location of the .zip file containing the Lambda function's code. This allows the CloudFormation deploy action to use the correct artifact depending on the region. This is critical because Lambda functions need to reference their code artifacts from the same region they are being deployed in.
B) You would also need to create a new CloudFormation deploy action for the us-east-1 Region within the pipeline. This action should be configured to use the CloudFormation template from the artifact that was specifically created for us-east-1.
NEW QUESTION # 80
A company is launching an application that stores raw data in an Amazon S3 bucket. Three applications need to access the data to generate reports. The data must be redacted differently for each application before the applications can access the data.
Which solution will meet these requirements?
- A. For each application, create an S3 access point that uses the raw data's S3 bucket as the destination.
Create an AWS Lambda function that is invoked by object creation events in the raw data's S3 bucket.
Program the Lambda function to redact data for each application. Store the data in each application's S3 access point. Configure each application to consume data from its own S3 access point. - B. Create an Amazon Kinesis data stream. Create an AWS Lambda function that is invoked by object creation events in the raw data's S3 bucket. Program the Lambda function to redact data for each application. Publish the data on the Kinesis data stream. Configure each application to consume data from the Kinesis data stream.
- C. Create an S3 access point that uses the raw data's S3 bucket as the destination. For each application, create an S3 Object Lambda access point that uses the S3 access point. Configure the AWS Lambda function for each S3 Object Lambda access point to redact data when objects are retrieved. Configure each application to consume data from its own S3 Object Lambda access point.
- D. Create an S3 bucket for each application. Configure S3 Same-Region Replication (SRR) from the raw data's S3 bucket to each application's S3 bucket. Configure each application to consume data from its own S3 bucket.
Answer: C
Explanation:
Explanation
The best solution is to use S3 Object Lambda1, which allows you to add your own code to S3 GET, LIST, and HEAD requests to modify and process data as it is returned to an application2. This way, you can redact the data differently for each application without creating and storing multiple copies of the data or running proxies.
The other solutions are less efficient or scalable because they require replicating the data to multiple buckets, streaming the data through Kinesis, or storing the data in S3 access points.
References: 1: Amazon S3 Features | Object Lambda | AWS 2: Transforming objects with S3 Object Lambda - Amazon Simple Storage Service
NEW QUESTION # 81
A DevOps engineer has automated a web service deployment by using AWS CodePipeline with the following steps:
1) An AWS CodeBuild project compiles the deployment artifact and runs unit tests.
2) An AWS CodeDeploy deployment group deploys the web service to Amazon EC2 instances in the staging environment.
3) A CodeDeploy deployment group deploys the web service to EC2 instances in the production environment.
The quality assurance (QA) team requests permission to inspect the build artifact before the deployment to the production environment occurs. The QA team wants to run an internal penetration testing tool to conduct manual tests. The tool will be invoked by a REST API call.
Which combination of actions should the DevOps engineer take to fulfill this request? (Choose two.)
- A. Modify the buildspec.yml file for the compilation stage to require manual approval before completion.
- B. Update the pipeline to directly call the REST API for the penetration testing tool.
- C. Update the CodeDeploy deployment groups so that they require manual approval to proceed.
- D. Insert a manual approval action between the test actions and deployment actions of the pipeline.
- E. Update the pipeline to invoke an AWS Lambda function that calls the REST API for the penetration testing tool.
Answer: D,E
NEW QUESTION # 82
A company manages multiple AWS accounts in AWS Organizations. The company's security policy states that AWS account root user credentials for member accounts must not be used. The company monitors access to the root user credentials.
A recent alert shows that the root user in a member account launched an Amazon EC2 instance. A DevOps engineer must create an SCP at the organization's root level that will prevent the root user in member accounts from making any AWS service API calls.
Which SCP will meet these requirements?
- A.
- B.
- C.
- D.
Answer: C
NEW QUESTION # 83
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