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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q227-Q232):

NEW QUESTION # 227
A DevOps Engineer has a single Amazon Dynamo DB table that received shipping orders and tracks inventory. The Engineer has three AWS Lambda functions reading from a DymamoDB stream on that table. The Lambda functions perform various functions such as doing an item count, moving items to Amazon Kinesis Data Firehose, monitoring inventory levels, and creating vendor orders when parts are low.
While reviewing logs, the Engineer notices the Lambda functions occasionally fail under increased load, receiving a stream throttling error.
Which is the MOST cost-effective solution that requires the LEAST amount of operational management?

A. Use AWS Glue integration to ingest the DynamoDB stream, then migrate the Lambda code to an AWS Fargate task.
B. Use Amazon Kinesis streams instead of Dynamo DB streams, then use Kinesis analytics to trigger the Lambda functions.
C. Create a fourth Lambda function and configure it to be the only Lambda reading from the stream.
Then use this Lambda function to pass the payload to the other three Lambda functions.
D. Have the Lambda functions query the table directly and disable DynamoDB streams. Then have the Lambda functions query from a global secondary index.

Answer: C

NEW QUESTION # 228
Customers have recently been complaining that your web application has randomly stopped responding.
During a deep dive of your logs, the team has discovered a major bug in your new Java web application.
This bug is causing a memory leak that eventually causes the application to crash.
Your web application runs on Amazon EC2 and was built with AWS CloudFormation.
Which techniques should you use to help detect these problems faster, as well as help eliminate the server's unresponsiveness? Choose 2 answers

A. Update your AWS CloudFormation configuration to take advantage of CloudWatch metrics Agent.
Configure the CloudWatch Metrics Agent to monitor memory usage and trigger an Amazon SNS alarm.
B. Update your CloudWatch metric granularity config for all Amazon EC2 memory metrics to support five- second granularity.
Create a CloudWatch alarm that triggers an Amazon SNS notification to page your team when the application memory becomes too large.
C. Update your AWS CloudFormation configuration and enable a CustomResource that uses cfn- signal to detect memory leaks.
D. Create a custom CloudWatch metric that you push your JVM memory usage to.
Create a Cloudwatch alarm that triggers an Amazon SNS notification to page your team when the application memory usage becomes too large.
E. Update your AWS CloudFormation configuration to take advantage of Auto Scaling groups.
Configure an Auto Scaling group policy to trigger off your custom CloudWatch metrics.

Answer: D,E

NEW QUESTION # 229
A company's application is running on Amazon EC2 instances in an Auto Scaling group. A DevOps engineer needs to ensure there are at least four application servers running at all times.
Whenever an update has to be made to the application, the engineer creates a new AMI with the updated configuration and updates the AWS CloudFormation template with the new AMI ID. After the stack finishes, the engineer manually terminates the old instances one by one, verifying that the new instance is operational before proceeding. The engineer needs to automate this process.
Which action will allow for the LEAST number of manual steps moving forward?

A. Use an Auto Scaling lifecycle hook to verify that the previous instance is operational before allowing the DevOps engineer's selected instance to terminate.
B. Update the CloudFormation template to include the UpdatePolicy attribute with the AutoScalingReplacingUpdate policy.
C. Use an Auto Scaling lifecycle hook to confirm there are at least four running instances before allowing the DevOps engineer's selected instance to terminate.
D. Update the CloudFormation template to include the UpdatePolicy attribute with the AutoScalingRollingUpdate policy.

Answer: D

NEW QUESTION # 230
You have a web application that is currently running on a collection of micro instance types in a single AZ behind a single load balancer.
You have an Auto Scaling group configured to scale from 2 to 64 instances. When reviewing your CloudWatch metrics, you see that sometimes your Auto Scaling group is running 64 micro instances. The web application is reading and writing to a DynamoDB-configured backend and configured with 800 Write Capacity Units and 800 Read Capacity Units.
Your customers are complaining that they are experiencing long load times when viewing your website.
You have investigated the DynamoDB CloudWatch metrics; you are under the provisioned Read and write Capacity Units and there is no throttling.
How do you scale your service to improve the load times and ensure the principles of high availability?

A. Change your Auto Scaling group configuration to include multiple AZs, and increase the number of Read Capacity Units in your DynamoDB table by a factor of three, because you will need to be calling DynarnoDB from three AZs.
B. Add a second load balancer to your Auto Scaling group so that you can support more inbound connections per second.
C. Change your Auto Scaling group configuration to include multiple AZs.
D. Change your Auto Scaling group configuration to use larger instances and include multiple AZ's instead of one.

Answer: D

NEW QUESTION # 231
You've been tasked with improving the current deployment process by making it easier to deploy and reducing the time it takes. You have been tasked with creating a continuous integration (CI) pipeline that can build AMI'S. Which of the below is the best manner to get this done. Assume that at max your development team will be deploying builds 5 times a week.

A. Use OpsWorks to launch an EBS-backed instance, then use a recipe to bootstrap the instance, and then have the CI system use the Createlmage API call to make an AMI from it.
B. Use a dedicated EC2 instance with an EBS Volume. Download and configure the code and then crate an AMI out of that.
C. Have the CI system launch a new instance, then bootstrap the code and dependencies on that instance, and create an AMI using the Createlmage API call.
D. Upload the code and dependencies to Amazon S3, launch an instance, download the package from Amazon S3, then create the AMI with the CreateSnapshot API call

Answer: C

Explanation:
Explanation
Since the number of calls is just a few times a week, there are many open source systems such as Jenkins which can be used as CI based systems.
Jenkins can be used as an extensible automation server, Jenkins can be used as a simple CI server or turned into the continuous delivery hub for any project.
For more information on the Jenkins CI tool please refer to the below link:
* https://jenkins.io/
Option A and C are partially correct, but since you just have 5 deployments per week, having separate instances which consume costs is not required. Option B is partially correct, but again having a separate system such as Opswork for such a low number of deployments is not required.

NEW QUESTION # 232
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