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AWS-DevOps-Engineer-Professional Advanced Testing Engine | Exam AWS-DevOps-Engineer-Professional Collection Pdf

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q97-Q102):

NEW QUESTION # 97
A company has developed a Node.js web application which provides REST services to store and retrieve time series data. The web application is built by the Development team on company laptops, tested locally, and manually deployed to a single on-premises server, which accesses a local MySQL database. The company is starting a trial in two weeks, during which the application will undergo frequent updates based on customer feedback. The following requirements must be met:
- The team must be able to reliably build, test, and deploy new updates on a daily basis, without downtime or degraded performance.
- The application must be able to scale to meet an unpredictable number of concurrent users during the trial.
Which action will allow the team to quickly meet these objectives?

A. Develop an AWS CloudFormation template to create an Application Load Balancer and two Amazon EC2 instances with Amazon EBS (SSD) volumes in an Auto Scaling group with rolling updates enabled. Use AWS CodeBuild to build and test the Node.js application and store it in an Amazon S3 bucket. Use user-data scripts to install the application and the MySQL database on each EC2 instance.
Update the stack to deploy new application versions.
B. Modify the application to use Amazon DynamoDB instead of a local MySQL database. Use AWS OpsWorks to create a stack for the application with a DynamoDB layer, an Application Load Balancer layer, and an Amazon EC2 instance layer. Use a Chef recipe to build the application and a Chef recipe to deploy the application to the EC2 instance layer. Use custom health checks to run unit tests on each instance with rollback on failure.
C. Create two Amazon Lightsail virtual private servers for Node.js; one for test and one for production.
Build the Node.js application using existing process and upload it to the new Lightsail test server using the AWS CLI. Test the application, and if it passes all tests, upload it to the production server. During the trial, monitor the production server usage, and if needed, increase performance by upgrading the instance type.
D. Configure AWS Elastic Beanstalk to automatically build the application using AWS CodeBuild and to deploy it to a test environment that is configured to support auto scaling. Create a second Elastic Beanstalk environment for production. Use Amazon RDS to store data. When new versions of the applications have passed all tests, use Elastic Beanstalk `swap cname' to promote the test environment to production.

Answer: D

Explanation:
https://docs.aws.amazon.com/codebuild/latest/userguide/sample-elastic-beanstalk.html#sample- elastic-beanstalk-eb-cli

NEW QUESTION # 98
During metric analysis, your team has determined that the company's website is experiencing response times during peak hours that are higher than anticipated.
You currently rely on Auto Scaling to make sure that you are scaling your environment during peak windows.
How can you improve your Auto Scaling policy to reduce this high response time? Choose 2 answers.

A. Increase your Auto Scaling group's number of max servers.
B. Update the CloudWatch metric used for your Auto Scaling policy, and enable sub-minute granularity to allow auto scaling to trigger faster.
C. Create a script that runs and monitors your servers; when it detects an anomaly in load, it posts to an Amazon SNS topic that triggers Elastic Load Balancing to add more servers to the load balancer.
D. Push custom metrics to CloudWatch to monitor your CPU and network bandwidth from your servers, which will allow your Auto Scaling policy to have better fine-grain insight.
E. Push custom metrics to CloudWatch for your application that include more detailed information about your web application, such as how many requests it is handling and how many are waiting to be processed.

Answer: A,E

NEW QUESTION # 99
A devops engineer wants to deploy a serverless web application based on AWS Lambda.
The deployment must meet the following requirements:
- Provide staging and production environments.
- Restrict the developers from accessing the production environment.
- Avoid hard coding passwords in the Lambda functions
- Store source code in AWS CodeCommit.
- Use AWS CodePipeline to automate the deployment.
Which solution will accomplish this?

A. Define tagging conventions for staging and production environments to segregate deployment targets.
Use AWS KMS to store environment-specific values.
Use CodePipeline to automate deployments with AWS CodeDeploy.
B. Create separate staging and production accounts to segregate deployment targets.
Use AWS KMS to store environment-specific values.
Use CodePipeline to automate deployments with AWS CodeDeploy.
C. Create separate staging and production accounts to segregate deployment targets.
Use Lambda environment variables to store environment-specific values.
Use CodePipeline to automate deployments with AWS CodeDeploy
D. Define naming conventions for staging and production environments to segregate deployment targets.
Use Lambda environment variables to store environment-specific values.
Use CodePipeline to automate deployments with AWS CodeDeploy

Answer: B

NEW QUESTION # 100
A company has deployed several applications globally. Recently, Security Auditors found that few Amazon EC2 instances were launched without Amazon EBS disk encryption. The Auditors have requested a report detailing all EBS volumes that were not encrypted in multiple AWS accounts and regions. They also want to be notified whenever this occurs in future.
How can this be automated with the LEAST amount of operational overhead?

A. Create an AWS Lambda function to set up an AWS Config rule on all the target accounts. Use AWS Config aggregators to collect data from multiple accounts and regions. Export the aggregated report to an Amazon S3 bucket and use Amazon SNS to deliver the notifications.
B. Create an AWS CloudFormation template that adds an AWS Config managed rule for EBS encryption. Use a CloudFormation stack set to deploy the template across all accounts and regions. Store consolidated evaluation results from config rules in Amazon S3. Send a notification using Amazon SNS when non- compliant resources are detected.
C. Using AWS CLI, run a script periodically that invokes the aws ec2 describe-volumes query with a JMESPATH query filter. Then, write the output to an Amazon S3 bucket. Set up an S3 event notification to send events using Amazon SNS when new data is written to the S3 bucket.
D. Set up AWS CloudTrail to deliver all events to an Amazon S3 bucket in a centralized account. Use the S3 event notification feature to invoke an AWS Lambda function to parse AWS CloudTrail logs whenever logs are delivered to the S3 bucket. Publish the output to an Amazon SNS topic using the same Lambda function.

Answer: C

NEW QUESTION # 101
A company hosts its staging website using an Amazon EC2 instance backed with Amazon EBS storage. The company wants to recover quickly with minimal data losses in the event of network connectivity issues or power failures on the EC2 instance.
Which solution will meet these requirements?

A. Add the instance to an EC2 Auto Scaling group with the minimum, maximum, and desired capacity set to 1.
B. Add the instance to an EC2 Auto Scaling group with a lifecycle hook to detach the EBS volume when the EC2 instance shuts down or terminates.
C. Create an Amazon CloudWatch alarm for the StatusCheckFailed_System metric and select the EC2 action to recover the instance.
D. Create an Amazon CloudWatch alarm for the StatusCheckFailed_Instance metric and select the EC2 action to reboot the instance.

Answer: A

Explanation:
Explanation/Reference: https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-maintain-instance-levels.html

NEW QUESTION # 102
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