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The AWS Certified DevOps Engineer - Professional certification is intended for individuals who are responsible for designing, managing, and implementing DevOps practices and tools in their organizations. AWS Certified DevOps Engineer - Professional certification is ideal for DevOps engineers, software developers, system administrators, and IT professionals who want to demonstrate their expertise in AWS and DevOps.
Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) Certification Exam is a professional-level exam offered by Amazon Web Services (AWS) that validates an individual's expertise in designing, deploying, and managing distributed systems and applications on the AWS platform. AWS Certified DevOps Engineer - Professional certification is designed for individuals who have already achieved the AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate certifications and have at least two years of experience working with AWS.
The AWS Certified DevOps Engineer - Professional (DOP-C01) certification exam is designed to test an individual's technical expertise in deploying, managing, and operating applications on the AWS platform. AWS Certified DevOps Engineer - Professional certification is intended for professionals who have experience in DevOps practices and are looking to validate their skills with AWS technologies. It is also suitable for individuals who have already earned their AWS Certified Developer or AWS Certified SysOps Administrator certifications.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q551-Q556):
NEW QUESTION # 551 
You have an application running a specific process that is critical to the application's functionality, and have added the health check process to your Auto Scaling Group. The instances are showing healthy but the application itself is not working as it should. What could be the issue with the health check, since it is still showing the instances as healthy.
- A. The health check is not checking the application process
- B. You do not have the time range in the health check properly configured
- C. It is not possible for a health check to monitor a process that involves the application
- D. The health check is not configured properly
Answer: A
Explanation:
Explanation
If you have custom health checks, you can send the information from your health checks to Auto Scaling so that Auto Scaling can use this information. For example, if you determine that an instance is not functioning as expected, you can set the health status of the instance to Unhealthy. The next time that Auto Scaling performs a health check on the instance, it will determine that the instance is unhealthy and then launch a replacement instance For more information on Autoscaling health checks, please refer to the below document link: from AWS
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/healthcheck.html
NEW QUESTION # 552 
A web application for healthcare services runs on Amazon EC2 instances behind an ELB Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. A DevOps Engineer must create a mechanism in which an EC2 instance can be taken out of production so its system logs can be analyzed for issues to quickly troubleshot problems on the web tier. How can the Engineer accomplish this task while ensuring availability and minimizing downtime?
- A. Terminate the EC2 instances manually. The Auto Scaling will upload all log information to CloudWatch Logs for analysis prior to instance termination.
- B. Implement EC2 Auto Scaling groups cooldown periods. Use EC2 instance metadata to determine the instance state, and an AWS Lambda function to snapshot Amazon EBS volumes to preserve system logs.
- C. Implement Amazon CloudWatch Events rules. Create an AWS Lambda function that can react to an instance termination to deploy the CloudWatch Logs agent to upload the system and access logs to Amazon S3 for analysis.
- D. Implement EC2 Auto Scaling groups with lifecycle hooks. Create an AWS Lambda function that can modify an EC2 instance lifecycle hook into a standby state, extract logs from the instance through a remote script execution, and place them in an Amazon S3 bucket for analysis.
Answer: D
Explanation:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-enter-exit-standby.html
NEW QUESTION # 553 
You have defined a Linux based instance stack in Opswork. You now want to attach a database to the Opswork stack. Which of the below is an important step to ensure that the application on the Linux instances can communicate with the database
- A. Addanother stack with the database layer and attach it to the application stack.
- B. ConfigureSSL so that the instance can communicate with the database
- C. Addanother stack with the database layer and attach it to the application stack.
- D. ConfigureSSL so that the instance can communicate with the database
- E. Addthe appropriate driver packages to ensure the application can work with thedatabase
- F. Configuredatabase tags for the Opswork application layerOpswork application layer
- G. Configuredatabase tags for theYou have defined a Linux based instance stack in Opswork. You now want to attach a database to the Opswork stack. Which of the below is an important step to ensure that the application on the Linux instances can communicate with the database
- H. Addthe appropriate driver packages to ensure the application can work with thedatabase
Answer: E
Explanation:
Explanation
The AWS documentation mentions the below point
Important
For Linux stacks, if you want to associate an Amazon RDS service layer with your app, you must add the appropriate driver package to the associated app server layer, as follows:
1. Click Layers in the navigation pane and open the app server's Recipes tab.
2. Click Edit and add the appropriate driver package to OS Packages. For example, you should specify mysql if the layer contains Amazon Linux instances and mysql-client if the layer contains Ubuntu instances.
3. Save the changes and redeploy the app.
For more information on Opswork app connectivity, please visit the below URL:
http://docs.aws.amazon.com/opsworks/latest/userguide/workingapps-connectdb.html
NEW QUESTION # 554 
You are hosting multiple environments in multiple regions and would like to use Amazon Inspector for regular security assessments on your AWS resources across all regions. Which statement about Amazon Inspector's operation across regions is true?
- A. Amazon Inspector is hosted in each supported region. Telemetry data and findings are shared across regions to provide complete assessment reports.
- B. Amazon Inspector is hosted within AWS regions behind a public endpoint. All regions are isolated from each other, and the telemetry and findings for all assessments performed within a region remain in that region and are not distributed by the service to other Amazon Inspector locations.
- C. Amazon Inspector is hosted in each supported region separately. You have to create assessment targets using the same name and tags in each region and Amazon Inspector will run against each assessment target in each region.
- D. Amazon Inspector is a global service that is not region-bound. You can include AWS resources from multiple regions in the same assessment target.
Answer: B
Explanation:
At this time, Amazon Inspector supports assessment services for EC2 instances in only the following AWS regions:
US West (Oregon)
US East (N. Virginia)
EU (Ireland)
Asia Pacific (Seoul)
Asia Pacific (Mumbai)
Asia Pacific (Tokyo)
Asia Pacific (Sydney)
Amazon Inspector is hosted within AWS regions behind a public endpoint. All regions are isolated from each other, and the telemetry and findings for all assessments performed within a region remain in that region and are not distributed by the service to other Amazon Inspector locations.
Reference:
https://docs.aws.amazon.com/inspector/latest/userguide/inspector_supported_os_regions.html#in spector_supported-regions
NEW QUESTION # 555 
Amazon Inspector agent collects telemetry data during assessment run and sends this data to Amazon Inspector dedicated S3 bucket for analysis. How can you access telemetry data out of Amazon Inspector and how can you benefit from this data in securing your resources?
- A. Telemetry data is stored in Amazon Inspector dedicated S3 bucket that does NOT belong to your account, Amazon Inspector currently does NOT provide an API or an S3 bucket access mechanism to collected telemetry. Data is retained temporarily only to allow for assistance with support requests.
- B. Telemetry data is kept in S3 and encrypted with a pre-assessment test key configured in KMS, as long as you have access to that key you can download and decrypt telemetry data.
- C. Telemetry data is deleted immediately after assessment run, therefore data can NOT be accessed or analyzed by any other tools.
- D. Telemetry data is saved on S3 bucket in your account, therefore telemetry data is accessible with proper permissions on that bucket.
Answer: A
Explanation:
The telemetry data stored in S3 is retained only to allow for assistance with support requests and is not used or aggregated by Amazon for any other purpose. After 30 days, telemetry data is permanently deleted per a standard Amazon Inspector-dedicated S3 bucket lifecycle policy. At present, Amazon Inspector does not provide an API or an S3 bucket access mechanism to collected telemetry.
Reference: https://docs.aws.amazon.com/inspector/latest/userguide/inspector_agents.html
NEW QUESTION # 556
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