DOP-C01 PRACTICE EXAM, DOP-C01 PASS RATE

DOP-C01 Practice Exam, DOP-C01 Pass Rate

DOP-C01 Practice Exam, DOP-C01 Pass Rate

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The AWS-DevOps-Engineer-Professional certification exam is a challenging and comprehensive exam that requires a solid understanding of AWS services, DevOps practices, and advanced automation techniques. DOP-C01 exam covers a range of topics, including deployment strategies, continuous integration and delivery, infrastructure as code, monitoring and logging, security, compliance, and governance. DOP-C01 Exam is intended to assess the candidate’s ability to design, implement, and manage scalable, highly available, and fault-tolerant systems on AWS.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q532-Q537):

NEW QUESTION # 532
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. EMR running Apache Spark
  • C. Kinesis Firehose+RedShift
  • D. Kinesis Firehose + RDS

Answer: C

Explanation:
Explanation
Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture, transform, and load streaming data into Amazon Kinesis Analytics, Amazon S3, Amazon Redshift, and Amazon Oasticsearch Sen/ice, enabling near real-time analytics with existing business intelligence tools and dashboards you're already using today. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also batch, compress, and encrypt the data before loading it, minimizing the amount of storage used at the destination and increasing security.
For more information on Kinesis firehose, please visit the below URL:
* https://aws.amazon.com/kinesis/firehose/
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. For more information on Redshift, please visit the below URL:
* http://docs.aws.amazon.com/redshift/latest/mgmt/welcome.html


NEW QUESTION # 533
If you're trying to configure an AWS Elastic Beanstalk worker tier for easy debugging if there are problems finishing queue jobs, what should you configure?

  • A. ConfigureEnhanced Health Reporting.
  • B. ConfigureRolling Deployments.
  • C. ConfigureBlue-Green Deployments.
  • D. Configure a Dead Letter Queue.

Answer: D

Explanation:
Explanation
The AWS documentation mentions the following on dead-letter queues
Amazon SQS supports dead-letter queues. A dead-letter queue is a queue that other (source) queues can target for messages that can't be processed (consumed) successfully. You can set aside and isolate these messages in the dead-letter queue to determine why their processing doesn't succeed.
For more information on dead letter queues please visit the below link
http://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-dead-letter-queues.html


NEW QUESTION # 534
Which of the following is not a component of Elastic Beanstalk?

  • A. Application
  • B. Environment
  • C. ApplicationVersion
  • D. Docker

Answer: D

Explanation:
Explanation
Answer - C
The following are the components of Clastic Beanstalk
1) Application - An Clastic Beanstalk application is a logical collection of Clastic Beanstalk components, including environments, versions, and environment configurations. In Clastic Beanstalk an application is conceptually similar to a folder
2) Application version - In Clastic Beanstalk, an application version refers to a specific, labeled iteration of deployable code for a web application
3) environment - An environment is a version that is deployed onto AWS resources. Cach environment runs only a single application version at a time, however you can run the same version or different versions in many environments at the same time.
4) environment Configuration - An environment configuration identifies a collection of parameters and settings that define how an environment and its associated resources behave.
5) Configuration Template - A configuration template is a starting point for creating unique environment configurations. For more information on the components of Clastic beanstalk please refer to the below link
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/concepts.components.html


NEW QUESTION # 535
A Developer is maintaining a fleet of 50 Amazon EC2 Linux servers. The servers are part of an Amazon EC2 Auto Scaling group, and also use Elastic Load Balancing for load balancing.
Occasionally, some application servers are being terminated after failing ELB HTTP health checks. The Developer would like to perform a root cause analysis on the issue, but before being able to access application logs, the server is terminated.
How can log collection be automated?

  • A. Use Auto Scaling lifecycle hooks to put instances in a Pending:Wait state. Create an Amazon CloudWatch Alarm for EC2 Instance Terminate Successful and trigger an AWS Lambda function that executes an SSM Run Command script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.
  • B. Use Auto Scaling lifecycle hooks to put instances in a Terminating: Wait state. Create a Config rule for EC2 Instance-terminate Lifecycle Action and trigger a step function that executes a script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.
  • C. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch Events rule for EC2 'Instance-terminate Lifecycle Action and trigger an AWS Lambda function that executes a SSM Run Command script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.
  • D. Use Auto Scaling lifecycle hooks to put instances in a Terminating: Wait state. Create an Amazon CloudWatch subscription filter for EC2 Instance Terminate Successful and trigger a CloudWatch agent that executes a script to called logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.

Answer: B


NEW QUESTION # 536
A company wants to adopt a methodology for handling security threats from leaked and compromised IAM access keys. The DevOps Engineer has been asked to automate the process of acting upon compromised access keys, which includes identifying users, revoking their permissions, and sending a notification to the Security team.
Which of the following would achieve this goal?

  • A. Use AWS Lambda with a third-party library to scan for compromised access keys. Use scan result inside AWS Lambda and delete compromised IAM access keys. Create Amazon CloudWatch custom metrics for compromised keys. Create a CloudWatch alarm on the metrics to notify the Security team.
  • B. Use AWS Trusted Advisor to identify compromised access keys. Create an Amazon CloudWatch Events rule with Trusted Advisor as the event source, and AWS Lambda and Amazon SNS as targets.
    Use AWS Lambda to delete compromised IAM access keys and Amazon SNS to notify the Security team.
  • C. Use the AWS Trusted Advisor generated security report for access keys. Use AWS Lambda to scan through the report. Use scan result inside AWS Lambda and delete compromised IAM access keys.
    Use Amazon SNS to notify the Security team.
  • D. Use the AWS Trusted Advisor generated security report for access keys. Use Amazon EMR to run analytics on the report. Identify compromised IAM access keys and delete them. Use Amazon CloudWatch with an EMR Cluster State Change event to notify the Security team.

Answer: B


NEW QUESTION # 537
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