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NEW QUESTION 25
A company has developed a Ruby on Rails content management platform. Currently, OpsWorks with several
stacks for dev, staging, and production is being used to deploy and manage the application. Now the company
wants to start using Python instead of Ruby. How should the company manage the new deployment? Choose
the correct answer from the options below
- A. Create a new stack that contains the Python application code and manage separate deployments of the
application via the secondary stack using the deploy lifecycle action to implement the application code. - B. Create a new stack that contains the Python application code and manages separate deployments of the
application via the secondary stack. - C. Update the existing stack with Python application code and deploy the application using the deploy
life-cycle action to implement the application code. - D. Create a new stack that contains a new layer with the Python code. To cut over to the new stack the
company should consider using Blue/Green deployment
Answer: D
Explanation:
Explanation
Blue/green deployment is a technique for releasing applications by shifting traffic between two identical
environments running different versions of the application.
Blue/green deployments can mitigate common risks associated with deploying software, such as downtime
and rollback capability
Please find the below link on a white paper for blue green
deployments
* https://d03wsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf
NEW QUESTION 26
A company is implementing a well-architected design for its globally accessible API stack. The design needs to ensure both high reliability and fast response times for users located in North America and Europe.
The API stack contains the following three tiers:
* Amazon API Gateway
* AWS Lambda
* Amazon DynamoDB
Which solution will meet the requirements?
- A. Configure Amazon Route 53 to point to API Gateway API in North America using latency-based routing. Configure the API to forward requests to the Lambda function in the Region nearest to the user.
Configure the Lambda function to retrieve and update the data in a DynamoDB table. - B. Configure Amazon Route 53 to point to API Gateway in North America, create a disaster recovery API in Europe, and configure both APIs to forward requests to the Lambda functions in that Region.
Retrieve the data from a DynamoDB global table. Deploy a Lambda function to check the North America API health every 5 minutes. In the event of a failure, update Route 53 to point to the disaster recovery API. - C. Configure Amazon Route 53 to point to API Gateway APIs in North America and Europe using latency-based routing and health checks. Configure the APIs to forward requests to a Lambda function in that Region. Configure the Lambda functions to retrieve and update the data in a DynamoDB global table.
- D. Configure Amazon Route 53 to point to API Gateway APIs in North America and Europe using health checks. Configure the APIs to forward requests to a Lambda function in that Region. Configure the Lambda functions to retrieve and update the data in a DynamoDB table in the same Region as the Lambda function.
Answer: D
NEW QUESTION 27
You need to run a very large batch data processing job one time per day. The source data exists entirely
in S3, and the output of the processing job should also be written to S3 when finished. If you need to
version control this processing job and all setup and teardown logic for the system, what approach should
you use?
- A. Model an AWS EMR job in AWS CloudFormation.
- B. Model an AWS EMR job in AWS CLI Composer.
- C. Model an AWS EMR job in AWS Elastic Beanstalk.
- D. Model an AWS EMR job in AWS OpsWorks.
Answer: A
Explanation:
To declaratively model build and destroy of a cluster, you need to use AWS CloudFormation. OpsWorks
and Elastic Beanstalk cannot directly model EMR Clusters. The CLI is not declarative, and CLI Composer
does not exist.
Reference:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-cluster.html
NEW QUESTION 28
The project you are working on currently uses a single AWS CloudFormation template to deploy its AWS infrastructure, which supports a multi-tier web application. You have been tasked with organizing the AWS CloudFormation resources so that they can be maintained in the future, and so that different departments such as Networking and Security can review the architecture before it goes to Production.
How should you do this in a way that accommodates each department, using their existing workflows?
- A. Organize the AWS CloudFormation template so that related resources are next to each other in the template for each department's use, leverage your existing continuous integration tool to constantly deploy changes from all parties to the Production environment, and then run tests for validation.
- B. Separate the AWS CloudFormation template into a nested structure that has individual templates for the resources that are to be governed by different departments, and use the outputs from the networking and security stacks for the application template that you control
- C. Use a custom application and the AWS SDK to replicate the resources defined in the current AWS CloudFormation template, and use the existing code review system to allow other departments to approve changes before altering the application for future deployments.
- D. Organize the AWS CloudFormation template so that related resources are next to each other in the template, such as VPC subnets and routing rules for Networking and security groups and IAM information for Security.
Answer: B
NEW QUESTION 29
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