Free Access Amazon.DOP-C01.v2022-08-28.q134 Practice Test (Page 2)

Question 1

An n-tier application requires a table in an Amazon RDS MySQL DB instance to be dropped and repopulated at each deployment. This process can take several minutes and the web tier cannot come online until the process is complete. Currently, the web tier is configured in an Amazon EC2 Auto Scaling group, with instances being terminated and replaced at each deployment. The MySQL table is populated by running a SQL query through an AWS CodeBuild job.
What should be done to ensure that the web tier does not come online before the database is completely configured?

A.Modify the launch configuration of the Auto Scaling group to pause user data execution for 600 seconds, allowing the table to be populated.

B.Use AWS Step Functions to monitor and maintain the state of data population. Mark the database in service before continuing with the deployment.

C.Use an EC2 Auto Scaling lifecycle hook to pause the configuration of the web tier until the table is populated.

D.Use Amazon Aurora as a drop-in replacement for RDS MySQL. Use snapshots to populate the table with the correct data.

Question 2

A DevOps Engineer discovered a sudden spike in a website's page load times and found that a recent deployment occurred. A brief diff of the related commit shows that the URL for an external API call was altered and the connecting port changed from 80 to 443. The external API has been verified and works outside the application. The application logs show that the connection is now timing out, resulting in multiple retries and eventual failure of the call. Which debug steps should the Engineer take to determine the root cause of the issue?

A.Check the existing egress security group rules and network ACLs for the VPC. Also check the application logs being written to Amazon CloudWatch Logs for debug information.

B.Check the VPC Flow Logs looking for denies originating from Amazon EC2 instances that are part of the web Auto Scaling group. Check the ingress security group rules and routing rules for the VPC.

C.Check the egress security group rules and network ACLs for the VPC. Also check the VPC flow logs looking for accepts originating from the web Auto Scaling group.

D.Check the application logs being written to Amazon CloudWatch Logs for debug information. Check the ingress security group rules and routing rules for the VPC.

Question 3

You need to implement Blue/Green Deployment for several multi-tier web applications. Each of them has Its
Individual infrastructure:
Amazon Elastic Compute Cloud (EC2) front-end servers, Amazon ElastiCache clusters, Amazon Simple
Queue Service
(SQS) queues, and Amazon Relational Database (RDS) Instances.
Which combination of services would give you the ability to control traffic between different deployed
versions of your application?

A.Create one AWS Elastic Beanstalk application and all AWS resources (using configuration files inside
the application source bundle) for each web application. New versions would be deployed using Elastic
Beanstalk environments and using the Swap URLs feature.

B.Using AWS CloudFormation templates, create one Elastic Beanstalk application and all AWS resources
(in the same template) for each web application. New versions would be deployed using AWS
CloudFormation templates to create new Elastic Beanstalk environments, and traffic would be balanced
between them using weighted Round Robin (WRR) records in Amazon Route 53. >/

C.Using AWS CloudFormation templates, create one Elastic Beanstalk application and all AWS resources
(in the same template) for each web application. New versions would be deployed updating a parameter
on the CloudFormation template and passing it to the cfn-hup helper daemon, and traffic would be
balanced between them using Weighted Round Robin (WRR) records in Amazon Route 53.

D.Create one Elastic Beanstalk application and all AWS resources (using configuration files inside the
application source bundle) for each web application. New versions would be deployed updating the
Elastic Beanstalk application version for the current Elastic Beanstalk environment.

Question 4

You are hired as the new head of operations for a SaaS company. Your CTO has asked you to make debugging any part of your entire operation simpler and as fast as possible. She complains that she has no idea what is going on in the complex, service-oriented architecture, because the developers just log to disk, and it's very hard to find errors in logs on so many services. How can you best meet this requirement and satisfy your CTO?

A.Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration on the <code>PutBucket</code> event and publish events to AWS Lambda. Use the Lambda to analyze logs as soon as they come in and flag issues.

B.Begin using CloudWatch Logs on every service. Stream all Log Groups into S3 objects. Use AWS EMR cluster jobs to perform ad-hoc MapReduce analysis and write new queries when needed.

C.Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration on the <code>PutBucket</code> event and publish events to AWS Kinesis. Use Apache Spark on AWS EMR to perform at-scale stream processing queries on the log chunks and flag issues.

D.Begin using CloudWatch Logs on every service. Stream all Log Groups into an AWS Elasticsearch Service Domain running Kibana 4 and perform log analysis on a search cluster.

Question 5

A DevOps Engineer is working with an application deployed to 12 Amazon EC2 instances across
3 Availability Zones. New instances can be started from an AMI image. On a typical day, each EC2 instance has 30% utilization during business hours and 10% utilization after business hours.
The CPU utilization has an immediate spike in the first few minutes of business hours. Other increases in CPU utilization rise gradually.
The Engineer has been asked to reduce costs while retaining the same or higher reliability.
Which solution meets these requirements?

A.Create an Amazon EC2 Auto Scaling group using the AMI image, with a scaling action based on the Auto Scaling group's CPU Utilization average with a target of 75%. Create a scheduled action for the group to adjust the minimum number of instances to three after business hours end and reset to six before business hours begin.

B.Create two Amazon CloudWatch Events rules with schedules before and after business hours begin and end. Create two AWS Lambda functions, one invoked by each rule. The first function should stop nine instances after business hours end, the second function should restart the nine instances before the business day begins.

C.Create an EC2 Auto Scaling group using the AMI image, with a scaling action based on the Auto Scaling group's CPU Utilization average with a target of 75%. Create a scheduled action to terminate nine instances each evening after the close of business.

D.Create two Amazon CloudWatch Events rules with schedules before and after business hours begin and end. Create an AWS CloudFormation stack, which creates an EC2 Auto Scaling group, with a parameter for the number of instances. Invoke the stack from each rule, passing a parameter value of three in the morning, and six in the evening.

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