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NEW QUESTION 26
A company has microservices running in AWS Lambda that read data from Amazon DynamoDB. The Lambda code is manually deployed by Developers after successful testing. The company now needs the tests and deployments be automated and run in the cloud. Additionally, traffic to the new versions of each microservice should be incrementally shifted over time after deployment. What solution meets all the requirements, ensuring the MOST developer velocity?
- A. Create an AWS CodePipeline configuration and set up the source code step to trigger when code is pushed. Set up the build step to use AWS CodeBuild to run the tests. Set up an AWS CodeDeploy configuration to deploy, then select the CodeDeployDefault.LambdaLinear10PercentEvery3Minutes option.
- B. Create an AWS CodePipeline configuration and set up a post-commit hook to trigger the pipeline after tests have passed. Use AWS CodeDeploy and create a Canary deployment configuration that specifies the percentage of traffic and interval.
- C. Create an AWS CodeBuild configuration that triggers when the test code is pushed. Use AWS CloudFormation to trigger an AWS CodePipeline configuration that deploys the new Lambda versions and specifies the traffic shift percentage and interval.
- D. Use the AWS CLI to set up a post-commit hook that uploads the code to an Amazon S3 bucket after tests have passed. Set up an S3 event trigger that runs a Lambda function that deploys the new version. Use an interval in the Lambda function to deploy the code over time at the required percentage.
Answer: A
Explanation:
https://docs.aws.amazon.com/codedeploy/latest/userguide/deployment-configurations.html
NEW QUESTION 27
A social networking service runs a web API that allows its partners to search public posts. Post data is stored in Amazon DynamoDB and indexed by AWS Lambda functions, with an Amazon ES domain storing the indexes and providing search functionality to the application.
The service needs to maintain full capacity during deployments and ensure that failed deployments do not cause downtime or reduced capacity, or prevent subsequent deployments.
How can these requirements be met? (Select TWO )
- A. Run the web application in AWS Elastic Beanstalk with the deployment policy set to Immutable.
Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template. - B. Run the web application in AWS Elastic Beanstalk with the deployment policy set to Rolling. Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.
- C. Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy in-place deployment.
- D. Run the web application in AWS Elastic Beanstalk with the deployment policy set to All at Once.
Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template. - E. Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy blue/green deployment.
Answer: A,E
Explanation:
Explanation
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.rolling-version-deploy.html
NEW QUESTION 28
When logging with Amazon CloudTrail, API call information for services with regional end points is ____.
- A. captured in the region where the end point is located, processed in the region where the CloudTrail trail is configured, and delivered to the region associated with your Amazon S3 bucket
- B. captured, processed, and delivered to the region associated with your Amazon S3 bucket
- C. captured in the same region as to which the API call is made and processed and delivered to the region associated with your Amazon S3 bucket
- D. captured and processed in the same region as to which the API call is made and delivered to the region associated with your Amazon S3 bucket
Answer: D
Explanation:
When logging with Amazon CloudTrail, API call information for services with regional end points (EC2, RDS etc.) is captured and processed in the same region as to which the API call is made and delivered to the region associated with your Amazon S3 bucket. API call information for services with single end points (IAM, STS etc.) is captured in the region where the end point is located, processed in the region where the CloudTrail trail is configured, and delivered to the region associated with your Amazon S3 bucket.
Reference:
https://aws.amazon.com/cloudtrail/faqs/
NEW QUESTION 29
A company is setting a centralized logging solution on AWS and has several requirements. The company wants its Amazon CloudWatch Logs and VPC Flow logs to come from different sub accounts and to be delivered to a single auditing account. However, the number of sub accounts keeps changing. The company also needs to index the logs in the auditing account to gather actionable insight. How should a DevOps Engineer implement the solution to meet all of the company's requirements?
- A. Use Amazon Kinesis Firehose with Kinesis Data Streams to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and stream logs from sub accounts to the Kinesis stream in the auditing account.
- B. Use Amazon Kinesis Streams to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and use Kinesis Data Streams in the sub accounts to stream the logs to the Kinesis stream in the auditing account.
- C. Use AWS Lambda to write logs to Amazon ES in the auditing account. Create a CloudWatch subscription filter and use Lambda in the sub accounts to stream the logs to the Lambda function deployed in the auditing account.
- D. Use AWS Lambda to write logs to Amazon ES in the auditing account Create an Amazon CloudWatch subscription filter and use Amazon Kinesis Data Streams in the sub accounts to stream the logs to the Lambda function deployment in the auditing account.
Answer: A
Explanation:
https://aws.amazon.com/pt/blogs/architecture/central-logging-in-multi-account-environments/
NEW QUESTION 30
A company has a hybrid architecture solution in which some legacy systems remain on-premises, while a specific cluster of servers is moved to AWS. The company cannot reconfigure the legacy systems, so the cluster nodes must have a fixed hostname and local IP address for each server that is part of the cluster. The DevOps Engineer must automate the configuration for a six-node cluster with high availability across three Availability Zones (AZs), placing two elastic network interfaces in a specific subnet for each AZ. Each node's hostname and local IP address should remain the same between reboots or instance failures. Which solution involves the LEAST amount of effort to automate this task?
- A. Create a reusable AWS CloudFormation template to manage an Amazon EC2 Auto Scaling group with a minimum size of 1 and a maximum size of 1. Give the hostname, elastic network interface, and AZ as stack parameters. Use those parameters to set up an EC2 instance with EC2 Auto Scaling and a user data script to attach to the specific elastic network interface. Use CloudFormation nested stacks to nest the template six times for a total of six nodes needed for the cluster, and deploy using the master template.
- B. Create an AWS Elastic Beanstalk application and a specific environment for each server of the cluster.
For each environment, give the hostname, elastic network interface, and AZ as input parameters.
Use the local health agent to name the instance and attach a specific elastic network interface based on the current environment. - C. Create an Amazon DynamoDB table with the list of hostnames subnets, and elastic network interfaces to be used. Create a single AWS CloudFormation template to manage an Auto Scaling group with a minimum size of 6 and a maximum size of 6. Create a programmatic solution that is installed in each instance that will lock/release the assignment of each hostname and local IP address, depending on the subnet in which a new instance will be launched.
- D. Create a reusable AWS CLI script to launch each instance individually, which will name the instance, place it in a specific AZ, and attach a specific elastic network interface. Monitor the instances and in the event of failure, replace the missing instance manually by running the script again.
Answer: A
Explanation:
https://aws.amazon.com/pt/blogs/devops/use-nested-stacks-to-create-reusable-templates-and- support-role-specialization/
NEW QUESTION 31
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