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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q114-Q119):

NEW QUESTION # 114
You are creating a new API for video game scores. Reads are 100 times more common than writes, and the top 1% of scores are read 100 times more frequently than the rest of the scores.
What's the best design for this system, using DynamoDB?

• A. DynamoDB table with 100x higher read than write throughput, with ElastiCache caching.
• B. DynamoDB table with roughly equal read and write throughput, with ElastiCache caching.
• C. DynamoDB table with 100x higher read than write throughput, with CloudFront caching.
• D. DynamoDB table with roughly equal read and write throughput, with CloudFront caching.

Answer: B Explanation:
Because the 100x read ratio is mostly driven by a small subset, with caching, only a roughly equal number of reads to writes will miss the cache, since the supermajority will hit the top 1% scores. Knowing we need to set the values roughly equal when using caching, we select AWS ElastiCache, because CloudFront cannot directly cache DynamoDB queries, and ElastiCache is an excellent in-memory cache for database queries, rather than a distributed proxy cache for content delivery. ... One solution would be to cache these reads at the application layer. Caching is a technique that is used in many high-throughput applications, offloading read activity on hot items to the cache rather than to the database. Your application can cache the most popular items in memory, or use a product such as ElastiCache to do the same.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GuidelinesForTables.html# Guideli nesForTables.CachePopularItem
NEW QUESTION # 115
A government agency has multiple AWS accounts, many of which store sensitive citizen information. A Security team wants to detect anomalous account and network activities (such as SSH brute force attacks) in any account and centralize that information in a dedicated security account. Event information should be stored in an Amazon S3 bucket in the security account, which is monitored by the department's Security Information and Even Manager (SIEM) system.
How can this be accomplished?

• A. Enable Amazon GuardDuty in the security account only. Configure the security account as the GuardDuty Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from Kinesis Data Streams and write to the S3 bucket.
• B. Enable Amazon Macie in every account. Configure the security account as the Macie Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which should push the findings to the S3 bucket.
• C. Enable Amazon GuardDuty in every account. Configure the security account as the GuardDuty Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which will push the findings to the S3 bucket.
• D. Enable Amazon Macie in the security account only. Configure the security account as the Macie Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from the Kinesis Data Streams and write to the S3 bucket.

Answer: A
NEW QUESTION # 116
Your CTO has asked you to make sure that you know what all users of your AWS account are doing to change resources at all times. She wants a report of who is doing what over time, reported to her once per week, for as broad a resource type group as possible. How should you do this?

• A. Create a global AWS CloudTrail Trail. Configure a script to aggregate the log data delivered to S3 once per week and deliver this to the CTO.
• B. Use CloudWatch Events Rules with an SNS topic subscribed to all AWS API calls. Subscribe the CTO to an email type delivery on this SNS Topic.
• C. Use AWS IAM credential reports to deliver a CSV of all uses of IAM User Tokens over time to the CTO.
• D. Use AWS Config with an SNS subscription on a Lambda, and insert these changes over time into a DynamoDB table. Generate reports based on the contents of this table.

Answer: A Explanation:
This is the ideal use case for AWS CloudTrail.
CloudTrail provides visibility into user activity by recording API calls made on your account.
CloudTrail records important information about each API call, including the name of the API, the identity of the caller, the time of the API call, the request parameters, and the response elements returned by the AWS service. This information helps you to track changes made to your AWS resources and to troubleshoot operational issues. CloudTrail makes it easier to ensure compliance with internal policies and regulatory standards.
https://aws.amazon.com/cloudtrail/faqs/
NEW QUESTION # 117
You have an application consisting of a stateless web server tier running on Amazon EC2 instances behind load balancer, and are using Amazon RDS with read replicas. Which of the following methods should you use to implement a self-healing and cost-effective architecture? (Choose two.)

• A. Set up scripts on each Amazon EC2 instance to frequently send ICMP pings to the load balancer in order to determine which instance is unhealthy and replace it.
• B. Set up an Auto Scaling group for the database tier along with an Auto Scaling policy that uses the Amazon RDS read replica lag CloudWatch metric to scale out the Amazon RDS read replicas.
• C. Set up an Auto Scaling group for the web server tier along with an Auto Scaling policy that uses the Amazon RDS DB CPU utilization CloudWatch metric to scale the instances.
• D. Use a larger Amazon EC2 instance type for the web server tier and a larger DB instance type for the data storage layer to ensure that they don't become unhealthy.
• E. Set up a third-party monitoring solution on a cluster of Amazon EC2 instances in order to emit custom CloudWatch metrics to trigger the termination of unhealthy Amazon EC2 instances.
• F. Use an Amazon RDS Multi-AZ deployment.
• G. Set up an Auto Scaling group for the web server tier along with an Auto Scaling policy that uses the Amazon EC2 CPU utilization CloudWatch metric to scale the instances.

Answer: F,G
NEW QUESTION # 118
You have an asynchronous processing application usingan Auto Scaling Group and an SQS Queue. The Auto Scaling Group scales according to the depth of the job queue. The completion velocity of the jobs has gone down, the Auto Scaling Group size has maxec out, but the inbound job velocity did not increase. What is a possible issue?

• A. Some of the new jobs coming in are malformed and unprocessable.
• B. The scaling metric is not functioning correctly.
• C. Someone changed the 1AM Role Policy on the instances in the worker group and broke permissions to access the queue.
• D. The routing tables changed and none of the workers can process events anymore.

Answer: A Explanation:
Explanation
This question is more on the grounds of validating each option
Option B is invalid, because the Route table would have an effect on all worker processes and no jobs would have been completed.
Option C is invalid because if the 1AM Role was invalid then no jobs would be completed.
Option D is invalid because the scaling is happening, its just that the jobs are not getting completed.
For more information on Scaling on Demand, please visit the below URL:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-scale-based-on-demand.html
NEW QUESTION # 119
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