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NEW QUESTION 25
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. 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.
- 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. 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 Networkingand security groups and 1AM information for Security.
- D. 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.
Answer: B
Explanation:
Explanation
As your infrastructure grows, common patterns can emerge in which you declare the same components in each of your templates. You can separate out these common components and create dedicated templates for them.
That way, you can mix and match different templates but use nested stacks to create a single, unified stack.
Nested stacks are stacks that create other stacks. To create nested stacks, use the AWS:: Cloud Form ation::Stackresource in your template to reference other templates.
For more information on best practices for Cloudformation please refer to the below link:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.html
NEW QUESTION 26
A DevOps engineer is implementing governance controls for a company that requires its infrastructure to be housed within the United States. The engineer must restrict which Regions can be used, and ensure an alert is sent as soon as possible if any activity outside the governance policy takes place. The controls should be automatically enabled on any new Region outside the United States.
Which combination of actions will meet these requirements? (Choose two.)
- A. Configure AWS CloudTrail to send logs to Amazon CloudWatch Logs and enable it for all Regions. Use a CloudWatch Logs metric filter to send an alert on any service activity in non-US Regions.
- B. Create an AWS Organizations SCP that denies access to all non-global services in non-US Regions.
Attach the policy to the root of the organization. - C. Write an SCP using the aws:RequestedRegion condition key limiting access to US Regions. Apply the policy to all users, groups, and roles.
- D. Use an AWS Lambda function that checks for AWS service activity and deploy it to all Regions. Write an Amazon CloudWatch Events rule that runs the Lambda function every hour, sending an alert if activity is found in a non-US Region.
- E. Use an AWS Lambda function to query Amazon Inspector to look for service activity in non-US Regions and send alerts if any activity is found.
Answer: A,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 Elastic Beanstalk.
- B. Model an AWS EMR job in AWS CloudFormation.
- C. Model an AWS EMR job in AWS CLI Composer.
- D. Model an AWS EMR job in AWS OpsWorks.
Answer: B
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
A company is deploying a new mobile game on AWS for its customers around the world. The Development team uses AWS Code services and must meet the following requirements:
– Clients need to send/receive real-time playing data from the backend frequently and with minimal latency
– Game data must meet the data residency requirement
Which strategy can a DevOps Engineer implement to meet their needs?
- A. Deploy the backend application to multiple regions. Any update to the code repository triggers a two-stage build and deployment pipeline. A successful deployment in one region invokes an AWS Lambda function to copy the build artifacts to an Amazon S3 bucket in another region. After the artifact is copied, it triggers a deployment pipeline in the new region.
- B. Deploy the backend application to multiple Availability Zones in a single region. Create an Amazon CloudFront distribution to serve the application backend to global customers. Any update to the code repository triggers a two-stage build-and-deployment pipeline. The pipeline deploys the backend application to all Availability Zones.
- C. Deploy the backend application to multiple regions. Use AWS Direct Connect to serve the application backend to global customers. Any update to the code repository triggers a two-stage build-and-deployment pipeline in the region. After a successful deployment in the region, the pipeline continues to deploy the artifact to another region.
- D. Deploy the backend application to multiple regions. Any update to the code repository triggers a two-stage build-and-deployment pipeline in the region. After a successful deployment in the region, the pipeline invokes the pipeline in another region and passes the build artifact location. The pipeline uses the artifact location and deploys applications in the new region.
Answer: C
NEW QUESTION 29
A web application for healthcare services runs on Amazon EC2 instances behind an ELB Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. A DevOps Engineer must create a mechanism in which an EC2 instance can be taken out of production so its system logs can be analyzed for issues to quickly troubleshot problems on the web tier. How can the Engineer accomplish this task while ensuring availability and minimizing downtime?
- A. Implement EC2 Auto Scaling groups with lifecycle hooks. Create an AWS Lambda function that can modify an EC2 instance lifecycle hook into a standby state, extract logs from the instance through a remote script execution, and place them in an Amazon S3 bucket for analysis.
- B. Implement EC2 Auto Scaling groups cooldown periods. Use EC2 instance metadata to determine the instance state, and an AWS Lambda function to snapshot Amazon EBS volumes to preserve system logs.
- C. Terminate the EC2 instances manually. The Auto Scaling will upload all log information to CloudWatch Logs for analysis prior to instance termination.
- D. Implement Amazon CloudWatch Events rules. Create an AWS Lambda function that can react to an instance termination to deploy the CloudWatch Logs agent to upload the system and access logs to Amazon S3 for analysis.
Answer: A
Explanation:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-enter-exit-standby.html
NEW QUESTION 30
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