Amazon DOP-C01 Quiz 5 Topic 1 Questions 21-25

Question: 1

For auditing, analytics, and troubleshooting purposes, a DevOps Engineer for a data analytics application needs to collect all of the application and Linux system logs from the Amazon EC2 instances before termination. The company, on average, runs 10,000 instances in an Auto Scaling group. The company requires the ability to quickly find logs based on instance IDs and date ranges.

Which is the MOST cost-effective solution?

ACreate an EC2 Instance-terminate Lifecycle Action on the group, write a termination script for pushing logs into Amazon S3, and trigger an AWS Lambda function based on S3 PUT to create a catalog of log files in an Amazon DynamoDB table with the primary key being Instance ID and sort key being Instance Termination Date.

BCreate an EC2 Instance-terminate Lifecycle Action on the group, write a termination script for pushing logs into Amazon CloudWatch Logs, create a CloudWatch Events rule to trigger an AWS Lambda function to create a catalog of log files in an Amazon DynamoDB table with the primary key being Instance ID and sort key being Instance Termination Date.

CCreate an EC2 Instance-terminate Lifecycle Action on the group, create an Amazon CloudWatch Events rule based on it to trigger an AWS Lambda function for storing the logs in Amazon S3, and create a catalog of log files in an Amazon DynamoDB table with the primary key being Instance ID and sort key being Instance Termination Date.

DCreate an EC2 Instance-terminate Lifecycle Action on the group, push the logs into Amazon Kinesis Data Firehouse, and select Amazon ES as the destination for providing storage and search capability.

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Question: 2

A DevOps Engineer manages a large commercial website that runs on Amazon EC2. The website uses Amazon Kinesis Data Streams to collect and process web logs. The Engineer manages the Kinesis consumer application, which also runs on EC2. Spikes of data cause the Kinesis consumer application to fall behind, and the streams drop records before they can be processed.

What is the FASTEST method to improve stream handling?

AModify the Kinesis consumer application to store the logs durably in amazon S3. Use Amazon EMR to process the data directly on S3 to derive customer insights and store the results in S3.

BHorizontally scale the Kinesis consumer application by adding more EC2 instances based on the GetRecord.IteratorAgeMiliseconds Amazon CloudWatch metric. Increase the Kinesis Data Streams retention period.

CConvert the Kinesis consumer application to run as an AWS Lambda function. Configure the Kinesis Data Streams as the event source for the Lambda function to process the data streams.

DIncrease the number of shards in the Kinesis Data Streams to increase the overall throughput so that the consumer processes data faster.

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Question: 3

A DevOps Engineer must automate a weekly process of identifying unnecessary permissions on a per-user basis, across all users in an AWS account. This process should evaluate the permissions currently granted to each user by examining the user's attached IAM access policies compared to the permissions the user has actually used in the past 90 days. Any differences in the comparison would indicate that the user has more permissions than are required. A report of the deltas should be sent to the Information Security team for further review and IAM user access policy revisions, as required.

Which solution is fully automated and will produce the MOST detailed deltas report?

ACreate an AWS Lambda function that calls the IAM Access Advisor API to pull service permissions granted on a user-by-user basis for all users in the AWS account. Ensure that Access Advisor is configured with a tracking period of 90 days. Invoke the Lambda function using an Amazon CloudWatch Events rule on a weekly schedule. For each record, by user, by service, if the Access Advisor Last Accesses field indicates a day count instead of 'Not accesses in the tracking period,' this indicates a delta compared to what is in the user's currently attached access polices. After Lambda has iterated through all users in the AWS account, configure it to generate a report and send the report using Amazon SES.

BConfigure an AWS CloudTrail trail that spans all AWS Regions and all read/write events, and point this trail to an Amazon S3 bucket. Create Amazon Athena table and specify the S3 bucket ARN in the CREATE TABLE query. Create an AWS Lambda function that accesses the Athena table using the SDK, which performs a SELECT, ensuring that the WHERE clause includes userIdentity, eventName, and eventTime. Compare the results against the user's currently attached IAM access policies to determine any deltas. Configure an Amazon CloudWatch Events schedule to automate this process to run once a week. Configure Amazon SES to send a consolidated report to the Information Security team.

CConfigure VPC Flow Logs on all subnets across all VPCs in all regions to capture user traffic across the entire account. Ensure that all logs are being sent to a centralized Amazon S3 bucket, so all flow logs can be consolidated and aggregated. Create an AWS Lambda function that is triggered once a week by an Amazon CloudWatch Events schedule. Ensure that the Lambda function parses the flow log files for the following information: IAM user ID, subnet ID, VPC ID, Allow/Reject status per API call, and service name. Then have the function determine the deltas on a user-by-user basis. Configure the Lambda function to send the consolidated report using Amazon SES.

DCreate an Amazon ES cluster and note its endpoint URL, which will be provided as an environment variable into a Lambda function. Configure an Amazon S3 event on a AWS CloudTrail trail destination S3 bucket and ensure that the event is configured to send to a Lambda function. Create the Lambda function to consume the events, parse the input from JSON, and transform it to an Amazon ES document format. POST the documents to the Amazon ES cluster's endpoint by way of the passed-in environment variable. Make sure that the proper indexing exists in Amazon ES and use Apache Lucene queries to parse the permissions on a user-by-user basis. Export the deltas into a report and have Amazon ES send the reports to the Information Security team using Amazon SES every week.

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Question: 4

A company is hosting a web application in an AWS Region. For disaster recovery purposes, a second region is being used as a standby. Disaster recovery requirements state that session data must be replicated between regions in near-real time and 1% of requests should route to the secondary region to continuously verify system functionality. Additionally, if there is a disruption in service in the main region, traffic should be automatically routed to the secondary region, and the secondary region must be able to scale up to handle all traffic.

How should a DevOps Engineer meet these requirements?

AIn both regions, deploy the application on AWS Elastic Beanstalk and use Amazon DynamoDB global tables for session data. Use an Amazon Route 53 weighted routing policy with health checks to distribute the traffic across the regions.

BIn both regions, launch the application in Auto Scaling groups and use DynamoDB for session data. Use a Route 53 failover routing policy with health checks to distribute the traffic across the regions.

CIn both regions, deploy the application in AWS Lambda, exposed by Amazon API Gateway, and use Amazon RDS PostgreSQL with cross-region replication for session data. Deploy the web application with client-side logic to call the API Gateway directly.

DIn both regions, launch the application in Auto Scaling groups and use DynamoDB global tables for session data. Enable an Amazon CloudFront weighted distribution across regions. Point the Amazon Route 53 DNS record at the CloudFront distribution.

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Question: 5

A DevOps Engineer manages an application that has a cross-region failover requirement. The application stores its data in an Amazon Aurora on Amazon RDS database in the primary region with a read replica in the secondary region. The application uses Amazon Route 53 to direct customer traffic to the active region.

Which steps should be taken to MINIMIZE downtime if a primary database fails?

AUse Amazon CloudWatch to monitor the status of the RDS instance. In the event of a failure, use a CloudWatch Events rule to send a short message service (SMS) to the Systems Operator using Amazon SNS. Have the Systems Operator redirect traffic to an Amazon S3 static website that displays a downtime message. Promote the RDS read replica to the master. Confirm that the application is working normally, then redirect traffic from the Amazon S3 website to the secondary region.

BUse RDS Event Notification to publish status updates to an Amazon SNS topic. Use an AWS Lambda function subscribed to the topic to monitor database health. In the event of a failure, the Lambda function promotes the read replica, then updates Route 53 to redirect traffic from the primary region to the secondary region.

CSet up an Amazon CloudWatch Events rule to periodically invoke an AWS Lambda function that checks the health of the primary database. If a failure is detected, the Lambda function promotes the read replica. Then, update Route 53 to redirect traffic from the primary to the secondary region.

DSet up Route 53 to balance traffic between both regions equally. Enable the Aurora multi-master option, then set up a Route 53 health check to analyze the health of the databases. Configure Route 53 to automatically direct all traffic to the secondary region when a primary database fails.

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Amazon DOP-C01 Quiz:5 Topic:1 Questions:21-25