AWS-DEVOPS-ENGINEER-PROFESSIONAL EXAM SAMPLE QUESTIONS - NEW AWS-DEVOPS-ENGINEER-PROFESSIONAL TEST PAPERS

AWS-DevOps-Engineer-Professional Exam Sample Questions - New AWS-DevOps-Engineer-Professional Test Papers

AWS-DevOps-Engineer-Professional Exam Sample Questions - New AWS-DevOps-Engineer-Professional Test Papers

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The AWS DevOps Engineer certification is an advanced level exam that requires candidates to have a deep understanding of AWS services, infrastructure, automation, and monitoring tools. AWS-DevOps-Engineer-Professional Exam is intended for experienced DevOps professionals who have a minimum of two years of hands-on experience in developing and administering AWS applications using DevOps practices.

>> AWS-DevOps-Engineer-Professional Exam Sample Questions <<

2025 Amazon Useful AWS-DevOps-Engineer-Professional Exam Sample Questions

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q478-Q483):

NEW QUESTION # 478
You are designing a service that aggregates clickstream data in batch and delivers reports to subscribers
via email only once per week. Data is extremely spikey, geographically distributed, high-scale, and
unpredictable. How should you design this system?

  • A. Use AWS Elasticsearch service and EC2 Auto Scaling groups. The Autoscaling groups scale based on
    click throughput and stream into the Elasticsearch domain, which is also scalable. Use Kibana to
    generate reports periodically.
  • B. Use a large RedShift cluster to perform the analysis, and a fleet of Lambdas to perform record inserts
    into the RedShift tables. Lambda will scale rapidly enough for the traffic spikes.
  • C. Use API Gateway invoking Lambdas which PutRecords into Kinesis, and EMR running Spark
    performing GetRecords on Kinesis to scale with spikes. Spark on EMR outputs the analysis to S3, which
    are sent out via email.
  • D. Use a CloudFront distribution with access log delivery to S3. Clicks should be recorded as querystring
    GETs to the distribution. Reports are built and sent by periodically running EMR jobs over the access logs
    in S3.

Answer: D

Explanation:
Because you only need to batch analyze, anything using streaming is a waste of money. CloudFront is a
Gigabit-Scale HTTP(S) global request distribution service, so it can handle scale, geo-spread, spikes, and
unpredictability. The Access Logs will contain the GET data and work just fine for batch analysis and
email using EMR.
Can I use Amazon CloudFront if I expect usage peaks higher than 10 Gbps or 15,000 RPS? Yes.
Complete our request for higher limits here, and we will add more capacity to your account within two
business days.
Reference: https://aws.amazon.com/cloudfront/faqs/


NEW QUESTION # 479
According to Information Security Policy, changes to the contents of objects inside production Amazon S3 bucket that contain encrypted secrets should only be made by a trusted group of administrators.
How should a DevOps Engineer create real-time, automated checks to meet this requirement?

  • A. Create an AWS Lambda function that is triggered by Amazon S3 data events for object changes and that also checks the IAM user's membership in an administrator's IAM role.
  • B. Create a periodic AWS Config rule to query Amazon S3 Logs for changes and to check the IAM user's membership in an administrator's IAM role.
  • C. Create a metrics filter for Amazon CloudWatch logs to check for Amazon S3 bucket-level permission changes and to check the IAM user's membership in an administrator's IAM role.
  • D. Create a periodic AWS Config rule to query AWS CloudTrail logs for changes to the Amazon S3 bucket-level permissions and to check the IAM user's membership in an administrator's IAM role.

Answer: A


NEW QUESTION # 480
When you implement a lifecycle hook in Autoscaling, by default what is the time limit in which the instance
will be a pending state.

  • A. 60seconds
  • B. 5minutes
  • C. 120minutes
  • D. 60minutes

Answer: D

Explanation:
Explanation
The AWS Documentation mentions
By default, the instance remains in a wait state for one hour, and then Auto Scaling continues the launch or
terminate process (Pending: Proceed or Terminating: Proceed). If you need more time, you can restart the
timeout period by recording a heartbeat. If you finish before the timeout
period ends, you can complete the lifecycle action, which continues the launch or termination process.
For more information on Autoscaling lifecycle hooks please see the below link:
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/lifecycle-hooks.htm I


NEW QUESTION # 481
A company's application development team uses Linux-based Amazon EC2 instances as bastion hosts. Inbound SSH access to the bastion hosts is restricted to specific IP addresses, as defined in the associated security groups. The company's security team wants to receive a notification if the security group rules are modified to allow SSH access from any IP address.
What should a DevOps engineer do to meet this requirement?

  • A. Enable Amazon Inspector. Include the Common Vulnerabilities and Exposures-1.1 rules package to check the security groups that are associated with the bastion hosts. Configure Amazon Inspector to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic.
  • B. Create an Amazon EventBridge (Amazon CloudWatch Events) rule with a source of aws.cloudtrail and the event name AuthorizeSecurityGroupIngress. Define an Amazon Simple Notification Service (Amazon SNS) topic as the target.
  • C. Enable Amazon GuardDuty and check the findings for security group in AWS Security Hub.
    Configure an Amazon EventBridge (Amazon CloudWatch Events) rule with a custom pattern that matches GuardDuty events with an output of NON_COMPLIANT. Define an Amazon Simple Notification Service (Amazon SNS) topic as the target.
  • D. Create an AWS Config rule by using the restricted-ssh managed rule to check whether security groups disallow unrestricted incoming SSH traffic. Configure automatic remediation to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic.

Answer: D

Explanation:
https://docs.aws.amazon.com/config/latest/developerguide/restricted-ssh.html


NEW QUESTION # 482
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 running Apache Spark
  • B. Kinesis Firehose + RDS
  • C. Kinesis Firehose + RedShift
  • D. EMR using Hive

Answer: C

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.
https://aws.amazon.com/kinesis/firehose/details/


NEW QUESTION # 483
......

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