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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q317-Q322):

NEW QUESTION # 317
You are building a game high score table in DynamoDB. You will store each user's highest score for each game, with many games, all of which have relatively similar usage levels and numbers of players. You need to be able to look up the highest score for any game. What's the best DynamoDB key structure?

A. GameID as the range / only key.
B. GameID as the hash key, HighestScore as the range key.
C. HighestScore as the hash / only key.
D. GameID as the hash / only key.

Answer: B

Explanation:
Since access and storage for games is uniform, and you need to have ordering within each game for the scores (to access the highest value), your hash (partition) key should be the GameID, and there should be a range key for HighestScore.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GuidelinesForTables.html# Guideli nesForTables.Partitions

NEW QUESTION # 318
A DevOps Engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2 Auto Scaling, is configured to perform in-place deployments with CodeDeployDefault.OneAtATime. During an ongoing new deployment, the Engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision.
What is likely causing this issue?

A. EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.
B. The two affected instances failed to fetch the new deployment.
C. The CodeDeploy agent was not installed in two affected instances.
D. A failed AfterInstalllifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances.

Answer: A

NEW QUESTION # 319
A legacy web application stores access logs in a proprietary text format. One of the security requirements is to search application access events and correlate them with access data from many different systems.
These searches should be near-real time.
Which solution offloads the processing load on the application server and provides a mechanism to search the data in near-real time?

A. Upload the log files to Amazon S3 by using the S3 sync command. Use Amazon Athena to define the structure of the data as a table, with Athena SQL queries to search for access events.
B. Use the third-party file-input plugin Logstash to monitor the application log file, then use a custom dissect filter on the agent to parse the log entries into the JSON format. Output the events to Amazon ES to be searched. Use the Elasticsearch API for querying the data.
C. Install the Amazon CloudWatch Logs agent on the application server and use CloudWatch Events rules to search logs for access events. Use Amazon CloudSearch as an interface to search for events.
D. Install the Amazon Kinesis Agent on the application server, configure it to monitor the log files, and send it to a Kinesis stream. Configure Kinesis to transform the data by using an AWS Lambda function, and forward events to Amazon ES for analysis. Use the Elasticsearch API for querying the data.

Answer: D

NEW QUESTION # 320
A Solutions Architect is designing a solution to store a large quantity of event data in Amazon S3. The
Architect anticipates that the workload will consistently exceed 100 requests each second.
What should the Architect do in Amazon S3 to optimize performance?

A. Use Amazon S3 Transfer Acceleration.
B. Store the event data in separate buckets.
C. Randomize the key name suffix.
D. Randomize a key name prefix.

Answer: D

Explanation:
Explanation
Reference https://docs.aws.amazon.com/AmazonS3/latest/dev/request-rate-perf-considerations.html

NEW QUESTION # 321
You are responsible for your company's large multi-tiered Windows-based web application running on Amazon EC2 instances situated behind a load balancer.
While reviewing metrics, you've started noticing an upwards trend for slow customer page load time.
Your manager has asked you to come up with a solution to ensure that customer load time is not affected by too many requests per second.
Which technique would you use to solve this issue?

A. Re-deploy your infrastructure using an AWS CloudFormation template.
Configure Elastic Load Balancing health checks to initiate a new AWS CloudFormation stack when health checks return failed.
B. Re-deploy your infrastructure using an AWS CloudFormation template.
Spin up a second AWS CloudFormation stack.
Configure Elastic Load Balancing SpillOver functionality to spill over any slow connections to the second AWS CloudFormation stack.
C. Re-deploy your application using an Auto Scaling template.
Configure the Auto Scaling template to spin up a new Elastic Beanstalk application when the customer load time surpasses your threshold.
D. Re-deploy your infrastructure using AWS CloudFormation, Elastic Beanstalk, and Auto Scaling.
Set up your Auto Scaling group policies to scale based on the number of requests per second as well as the current customer load time.

Answer: D

NEW QUESTION # 322
......

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2025 Amazon AWS-DevOps: High-quality Valid AWS Certified DevOps Engineer - Professional Test Forum

Demo Version and Amazon AWS-DevOps Free Questions Updates for Up to 12 Months

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q317-Q322):

Amazon AWS-DevOps Features of PDF

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