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NEW QUESTION 24
A company is creating a software solution that executes a specific parallel-processing mechanism. The software can scale to tens of servers in some special scenarios. This solution uses a proprietary library that is license-based, requiring that each individual server have a single, dedicated license installed. The company has
200 licenses and is planning to run 200 server nodes concurrently at most.
The company has requested the following features:
" A mechanism to automate the use of the licenses at scale. " Creation of a dashboard to use in the future to verify which licenses are available at any moment.
What is the MOST effective way to accomplish these requirements?

• A. Upload the licenses to a private Amazon S3 bucket. Create an AWS CloudFormation template with a Mappings section for the licenses. In the template, create an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the Mappings section. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated.
• B. Upload the licenses to an Amazon DynamoDB table. Create an AWS CLI script to launch the servers by using the parameter --count, with min:max instances to launch. In the user data script, acquire an available license from the DynamoDB table. Monitor each instance and, in case of failure, replace the instance, then manually update the DynamoDB table.
• C. Upload the licenses to a private Amazon S3 bucket. Populate an Amazon SQS queue with the list of licenses stored in S3. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script acquire an available license from SQS. Create an Auto Scaling lifecycle hook, then use it to put the license back in SQS after the instance is terminated.
• D. Upload the licenses to an Amazon DynamoDB table. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the DynamoDB table. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated.

Answer: B

NEW QUESTION 25
You have been given a business requirement to retain log files for your application for 10 years.
You need to regularly retrieve the most recent logs for troubleshooting.
Your logging system must be cost-effective, given the large volume of logs.
What technique should you use to meet these requirements?

• A. Store your logs in Amazon Glacier.
• B. Store your log in Amazon CloudWatch Logs.
• C. Store your logs in Amazon S3, and use lifecycle policies to archive to Amazon Glacier.
• D. Store your logs on Amazon EBS, and use Amazon EBS snapshots to archive them.
• E. Store your logs in HDFS on an Amazon EMR cluster.

Answer: C

NEW QUESTION 26
Which of the following are advantages of using AWS CodeCommit over hosting your own source code
repository system?

• A. Reduction in fees paid over licensing
• B. All of the above
• C. Reduction in hardware maintenance costs
• D. No specific restriction on files andbranches

Answer: B

Explanation:
Explanation
The AWS Documentation mentions the following on CodeCommit
Self-hosted version control systems have many potential drawbacks, including:
Expensive per-developer licensing fees.
High hardware maintenance costs.
High support staffing costs.
Limits on the amount and types of files that can be stored and managed.
Limits on the number of branches, the amount of version history, and other related metadata that can be stored.
For more information on CodeCommit please refer to the below link
* http://docs.aws.amazon.com/codecommit/latest/userguide/wel
come.html

NEW QUESTION 27
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