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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Exam is a certification program offered by Amazon Web Services (AWS) to professionals who are interested in pursuing a career in the field of DevOps. AWS Certified DevOps Engineer - Professional certification program is designed to validate the skills and expertise required to manage and deploy applications on the AWS platform using DevOps principles and practices.
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The DOP-C02 Exam is an advanced level certification exam that requires a deep understanding of AWS services and DevOps practices. DOP-C02 exam covers a wide range of topics, including deployment strategies, continuous delivery, automation, monitoring, security, and compliance. To pass the exam, candidates must demonstrate their ability to design, implement, and manage DevOps solutions on AWS.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q140-Q145):
NEW QUESTION # 140
A DevOps engineer needs to implement integration tests into an existing AWS CodePipelme CI/CD workflow for an Amazon Elastic Container Service (Amazon ECS) service. The CI/CD workflow retrieves new application code from an AWS CodeCommit repository and builds a container image. The CI/CD workflow then uploads the container image to Amazon Elastic Container Registry (Amazon ECR) with a new image tag version.
The integration tests must ensure that new versions of the service endpoint are reachable and that vanous API methods return successful response data The DevOps engineer has already created an ECS cluster to test the service Which combination of steps will meet these requirements with the LEAST management overhead? (Select THREE.)
- A. Add an appspec.yml file to the CodeCommit repository
- B. Create an AWS Lambda function that runs connectivity checks and API calls against the service. Integrate the Lambda function with CodePipeline by using aLambda action stage
- C. Add a deploy stage to the pipeline Configure AWS CodeDeploy as the action provider
- D. Write a script that runs integration tests against the service. Upload the script to an Amazon S3 bucket. Integrate the script in the S3 bucket with CodePipeline by using an S3 action stage.
- E. Update the image build pipeline stage to output an imagedefinitions json file that references the new image tag.
- F. Add a deploy stage to the pipeline Configure Amazon ECS as the action provider
Answer: B,E,F
Explanation:
* Add a Deploy Stage to the Pipeline, Configure Amazon ECS as the Action Provider:
By adding a deploy stage to the pipeline and configuring Amazon ECS as the action provider, the pipeline can automatically deploy the new container image to the ECS cluster.
This ensures that the service is updated with the new image tag, making the new version of the service endpoint reachable.
Reference:
* Update the Image Build Pipeline Stage to Output an imagedefinitions.json File that Reference the New Image Tag:
The imagedefinitions.json file provides the necessary information about the container images and their tags for the ECS task definitions.
Updating the pipeline to output this file ensures that the correct image version is deployed.
Example imagedefinitions.json
[
{
"name": "container-name",
"imageUri": "123456789012.dkr.ecr.region.amazonaws.com/my-repo:my-tag"
}
]
* Reference: CodePipeline ECS Deployment
* Create an AWS Lambda Function that Runs Connectivity Checks and API Calls against the Service. Integrate the Lambda Function with CodePipeline by Using a Lambda Action Stage:
The Lambda function can perform the necessary integration tests by making connectivity checks and API calls to the deployed service endpoint.
Integrating this Lambda function into CodePipeline ensures that these tests are run automatically after deployment, providing near-real-time feedback on the new deployment's health.
Example Lambda function integration:
actions:
- name: TestService
actionTypeId:
category: Test
owner: AWS
provider: Lambda
runOrder: 2
configuration:
FunctionName: testServiceFunction
These steps ensure that the CI/CD workflow deploys the new container image to ECS, updates the image references, and performs integration tests, meeting the requirements with minimal management overhead.
NEW QUESTION # 141
A company uses AWS Storage Gateway in file gateway mode in front of an Amazon S3 bucket that is used by multiple resources. In the morning when business begins, users do not see the objects processed by a third party the previous evening. When a DevOps engineer looks directly at the S3 bucket, the data is there, but it is missing in Storage Gateway.
Which solution ensures that all the updated third-party files are available in the morning?
- A. Use S3 Same-Region Replication to replicate any changes made directly in the S3 bucket to Storage Gateway.
- B. Configure a nightly Amazon EventBridge event to invoke an AWS Lambda function to run the RefreshCache command for Storage Gateway.
- C. Modify Storage Gateway to run in volume gateway mode.
- D. Instruct the third party to put data into the S3 bucket using AWS Transfer for SFTP.
Answer: B
Explanation:
https://docs.aws.amazon.com/storagegateway/latest/APIReference/API_RefreshCache.html " It only updates the cached inventory to reflect changes in the inventory of the objects in the S3 bucket. This operation is only supported in the S3 File Gateway types."
NEW QUESTION # 142
A company uses an organization in AWS Organizations to manage many AWS accounts. The company has enabled all features for the organization. The company uses AWS CloudFormation StackSets to deploy configurations to the accounts. The company uses AWS Config to monitor an Amazon S3 bucket. The company needs to ensure that all object uploads to the S3 bucket use AWS Key Management Service (AWS KMS) encryption. Which solution will meet these requirements?
- A. Create an SCP that includes a deny statement for the s3:createBucket action and a condition statement where s3:x-amz-server-side-encryption is not aws:kms. Attach the SCP to the root of the organization.
- B. Create an SCP that includes a deny statement for the s3:putObject action and a condition where s3:x-amz-server-side-encryption is not aws:kms. Attach the SCP to the root of the organization.
- C. Create an AWS Config conformance pack that includes the s3-bucket-server-side-encryption-enabled rule. Deploy the conformance pack to the accounts. Configure the rule to target an Amazon Simple Notification Service (Amazon SNS) topic.
- D. Create an AWS CloudFormation stack set to enable an AWS CloudTrail trail to capture S3 data events for the organization. In the stack set, create an Amazon EventBridge rule to match S3 PutObject events that do not use AWS KMS encryption. Configure the rule to target an Amazon Simple Notification Service (Amazon SNS) topic.
Answer: B
NEW QUESTION # 143
A company has an application that runs on AWS Lambda and sends logs to Amazon CloudWatch Logs. An Amazon Kinesis data stream is subscribed to the log groups in CloudWatch Logs. A single consumer Lambda function processes the logs from the data stream and stores the logs in an Amazon S3 bucket.
The company's DevOps team has noticed high latency during the processing and ingestion of some logs.
Which combination of steps will reduce the latency? (Select THREE.)
- A. Configure reserved concurrency for the Lambda function that processes the logs.
- B. Increase the batch size in the Kinesis data stream.
- C. Increase the ParallelizationFactor setting in the Lambda event source mapping.
- D. Turn off the ReportBatchltemFailures setting in the Lambda event source mapping.
- E. Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer.
- F. Increase the number of shards in the Kinesis data stream.
Answer: A,C,E
Explanation:
The latency in processing and ingesting logs can be caused by several factors, such as the throughput of the Kinesis data stream, the concurrency of the Lambda function, and the configuration of the event source mapping. To reduce the latency, the following steps can be taken:
* Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer. This will allow the Lambda function toreceive records from the data stream with dedicated throughput of up to 2 MB per second per shard, independent of other consumers1. This will reduce the contention and delay in accessing the data stream.
* Increase the ParallelizationFactor setting in the Lambda event source mapping. This will allow the Lambda service to invoke more instances of the function concurrently to process the records from the data stream2. This will increase the processing capacity and reduce the backlog of records in the data stream.
* Configure reserved concurrency for the Lambda function that processes the logs. This will ensure that the function has enough concurrency available to handle the increased load from the data stream3. This will prevent the function from being throttled by the account-level concurrency limit.
The other options are not effective or may have negative impacts on the latency. Option D is not suitable because increasing the batch size in the Kinesis data stream will increase the amount of data that the Lambda function has to process in each invocation, which may increase the execution time and latency4. Option E is not advisable because turning off the ReportBatchItemFailures setting in the Lambda event source mapping will prevent the Lambda service from retrying the failed records, which may result in data loss. Option F is not necessary because increasing the number of shards in the Kinesis data stream will increase the throughput of the data stream, but it will not affect the processing speed of the Lambda function, which is the bottleneck in this scenario.
References:
* 1: Using AWS Lambda with Amazon Kinesis Data Streams - AWS Lambda
* 2: AWS Lambda event source mappings - AWS Lambda
* 3: Managing concurrency for a Lambda function - AWS Lambda
* 4: AWS Lambda function scaling - AWS Lambda
* : AWS Lambda event source mappings - AWS Lambda
* : Scaling Amazon Kinesis Data Streams with AWS CloudFormation - Amazon Kinesis Data Streams
NEW QUESTION # 144
A company uses a single AWS account lo test applications on Amazon EC2 instances. The company has turned on AWS Config in the AWS account and has activated the restricted-ssh AWS Config managed rule.
The company needs an automated monitoring solution that will provide a customized notification in real time if any security group in the account is not compliant with the restricted-ssh rule. The customized notification must contain the name and ID of the noncompliant security group.
A DevOps engineer creates an Amazon Simple Notification Service (Amazon SNS) topic in the account and subscribes the appropriate personnel to the topic.
What should me DevOps engineer do next to meet these requirements?
- A. Create an Amazon EventBridge rule that matches all AWS Config evaluation results of NON_COMPLIANT Configure an input transformer for the restricted-ssh rule Configure the EventBridge rule to publish a notification to the SNS topic.
- B. Create an Amazon EventBridge rule that matches an AWS Config evaluation result of NON_COMPLIANT tor the restricted-ssh rule. Configure an input transformer for the EventBridge rule Configure the EventBridge rule to publish a notification to the SNS topic.
- C. Create an Amazon EventBridge rule that matches an AWS Config evaluation result of NON_COMPLlANT for the restricted-ssh rule Configure the EventBridge rule to invoke AWS Systems Manager Run Command on the SNS topic to customize a notification and to publish the notification to the SNS topic
- D. Configure AWS Config to send all evaluation results for the restricted-ssh rule to the SNS topic.
Configure a filter policy on the SNS topic to send only notifications that contain the text of NON_COMPLIANT in the notification to subscribers.
Answer: B
Explanation:
Explanation
Create an Amazon EventBridge (Amazon CloudWatch Events) rule that matches an AWS Config evaluation result of NON_COMPLIANT for the restricted-ssh rule. Configure an input transformer for the EventBridge (CloudWatch Events) rule. Configure the EventBridge (CloudWatch Events) rule to publish a notification to the SNS topic. This approach uses Amazon EventBridge (previously known as Amazon CloudWatch Events) to filter AWS Config evaluation results based on the restricted-ssh rule and its compliance status (NON_COMPLIANT). An input transformer can be used to customize the information contained in the notification, such as the name and ID of the noncompliant security group. The EventBridge (CloudWatch Events) rule can then be configured to publish a notification to the SNS topic, which will notify the appropriate personnel in real-time.
NEW QUESTION # 145
......
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