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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q23-Q28):

NEW QUESTION # 23
You need to perform ad-hoc business analytics queries on well-structured data. Data comes in constantly
at a high velocity. Your business intelligence team can understand SQL. What AWS service(s) should you
look to first?

A. EMR using Hive
B. Kinesis Firehose + RedShift
C. Kinesis Firehose + RDS
D. EMR running Apache Spark

Answer: B

Explanation:
Kinesis Firehose provides a managed service for aggregating streaming data and inserting it into
RedShift. RedShift also supports ad-hoc queries over well-structured data using a SQL-compliant wire
protocol, so the business team should be able to adopt this system easily.
Reference: https://aws.amazon.com/kinesis/firehose/details/

NEW QUESTION # 24
You work for an insurance company and are responsible for the day-to-day operations of your company's online quote system used to provide insurance quotes to members of the public.
Your company wants to use the application logs generated by the system to better understand customer behavior.
Industry, regulations also require that you retain all application logs for the system indefinitely in order to investigate fraudulent claims in the future.
You have been tasked with designing a log management system with the following requirements:
- All log entries must be retained by the system, even during unplanned instance failure.
- The customer insight team requires immediate access to the logs from
the past seven days.
- The fraud investigation team requires access to all historic logs,
but will wait up to 24 hours before these logs are available.
How would you meet these requirements in a cost-effective manner? Choose 3 answers

A. Create a housekeeping script that runs on a T2 micro instance managed by an Auto Scaling group for high availability.
The script uses the AWS API to identify any unattached Amazon EBS volumes containing log files.
Your housekeeping script will mount the Amazon EBS volume, upload all logs to Amazon S3, and then delete the volume.
B. Configure your application to write logs to the instance's ephemeral disk, because this storage is free and has good write performance.
Create a script that moves the logs from the instance to Amazon 53 once an hour.
C. Write a script that is configured to be executed when the instance is stopped or terminated and that will upload any remaining logs on the instance to Amazon S3.
D. Configure your application to write logs to the instance's default Amazon EBS boot volume, because this storage already exists.
Create a script that moves the logs from the instance to Amazon 53 once an hour.
E. Create an Amazon S3 lifecycle configuration to move log files from Amazon S3 to Amazon Glacier after seven days.
F. Configure your application to write logs to a separate Amazon EBS volume with the "delete on termination" field set to false.
Create a script that moves the logs from the instance to Amazon S3 once an hour.

Answer: A,E,F

NEW QUESTION # 25
A company has developed an AWS Lambda function that handles orders received through an API. The company is using AWS CodeDeploy to deploy the Lambda function as the final stage of a CI/CD pipeline.
A DevOps Engineer has notices there are intermittent failures of the ordering API for a few seconds after deployment. After some investigation, the DevOps Engineer believes the failures are due to database changes not having fully propagated before the lambda function begins executing.
How should the DevOps Engineer overcome this?

A. Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before traffic can flow to the new version of the Lambda function
B. Add a BeforeInstall hook to the AppSpec file that tests and waits for any necessary database changes before deploying the new version of the Lambda function
C. Add an AfterAllowTraffic hook to the AppSpec file that forces traffic to wait for any pending database changes before allowing the new version of the Lambda function to respond
D. Add a ValidateService hook to the AppSpec file that inspects incoming traffic and rejects the payload if dependent services such as the database are not yet ready

Answer: C

NEW QUESTION # 26
A startup company is developing a web application on AWS. It plans to use Amazon RDS for persistence and deploy the application to Amazon EC2 with an Auto Scaling group. The company would also like to separate the environments for development, testing, and production. What is the MOST secure and flexible approach to manage the application configuration?

A. Create a property file for each environment to include the environment-specific configuration. Create a private Amazon S3 bucket and save the property files in the bucket. Save the passwords in the bucket with AWS KMS encryption. During deployment, the application will read the needed property values from the environment-specific property file in the S3 bucket.
B. Create a property file to include the configuration and the encrypted passwords. Check in the property file to the source repository, package the property file with the application, and deploy the application. Create an environment tag for the EC2 instances and tag the instances respectively. The application will extract the necessary property values based on the environment tag.
C. Create a property file for each environment to include the environment-specific configuration and an encrypted password. Check in the property files to the source repository. During deployment, use only the environment-specific property file with the application. The application will read the needed property values from the deployed property file.
D. Create a property file for each environment to include the environment-specific configuration. Create a private Amazon S3 bucket and save the property files in the bucket. Save the encrypted passwords in the AWS Systems Manager Parameter Store. Create an environment tag for the EC2 instances and tag the instances respectively. The application will read the needed property values from the environment-specific property file in the S3 bucket and the parameter store.

Answer: D

NEW QUESTION # 27
An application has microservices spread across different AWS accounts and is integrated with an on- premises legacy system for some of its functionality. Because of the segmented architecture and missing logs, every time the application experiences issues, it is taking too long to gather the logs to identify the issues. A DevOps Engineer must fix the log aggregation process and provide a way to centrally analyze the logs.
Which is the MOST efficient and cost-effective solution?

A. Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Use the Amazon S3 API to export on-premises logs, and store the logs in an S3 bucket in a central account.
Build an Amazon EMR cluster to reduce the logs and derive the root cause.
B. Collect system logs and application logs using the Amazon CloudWatch Logs agent. Install the CloudWatch Logs agent on the on-premises servers. Transfer all logs from AWS to the on- premises data center. Use an Amazon Elasticsearch Logstash Kibana stack to analyze logs on premises.
C. Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Use the Amazon S3 API to import on-premises logs. Store all logs in S3 buckets in individual accounts.
Use Amazon Macie to write a query to search for the required specific event-related data point.
D. Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Install a CloudWatch Logs agent for on-premises resources. Store all logs in an S3 bucket in a central account.
Set up an Amazon S3 trigger and an AWS Lambda function to analyze incoming logs and automatically identify anomalies. Use Amazon Athena to run ad hoc queries on the logs in the central account.

Answer: B

NEW QUESTION # 28
......

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Fantastic Amazon New AWS-DevOps-Engineer-Professional Real Test With Interarctive Test Engine & Accurate Reliable AWS-DevOps-Engineer-Professional Exam Prep

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q23-Q28):

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