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Topics Covered by AWS DOP-C01 Certification Exam

The candidates who want to take the AWS DOP-C01 exam will need to demonstrate that they possess the following skills:

  • Ensure management and infrastructure configuration as Code;
  • Know how to handle SDLC automation;
  • Be effective in logging and monitoring;

Policies and Standards Automation (10%)

  • Applying the concepts required to implement the governance strategies;
  • Applying the concepts that are required to implement standards for logging, security, testing, monitoring & metrics.
  • Determining how to optimize the cost through automation;

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How Is DOP-C01 Structured?

If they want to get the AWS Certified DevOps Engineer – Professional certification, examinees will have to pass a single exam coded DOP-C01. The success of any candidate lies not only in the way he/she trains and manages to develop the tested skills. It is also influenced by the way he/she understands the final structure of the upcoming test. Therefore, candidates should know that DOP-C01 includes multiple-choice and multiple-response questions. They will have 180 minutes to complete this test and get the necessary passing score that equals at least 750 points out of 1,000. Also, this exam can be taken either online or in test centers. However, prior to taking it, examinees will have to pay the registration fee which has a total value of $300. To know more, the fee for a practice exam is $40. Finally, another essential element that candidates should know is that DOP-C01 can be delivered in different languages. So, apart from English, they can take this test in Japanese, Simplified Chinese, and Korean.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q250-Q255):

NEW QUESTION # 250
After conducting a disaster recovery exercise, an Enterprise Architect discovers that a large team of Database and Storage Administrators need more then seven hours of manual effort to make a flagship application's database functional in a different AWS Region. The Architect also discovers that the recovered database is often missing as much as two hours of data transactions. Which solution provides improved RTO and RPO in a cross-region failover scenario?

  • A. Create a scheduled Amazon CloudWatch Events rule to make a call to Amazon RDS to create a snapshot from a database instance and specify a frequency to match the RPO. Create an AWS Step Functions task to call Amazon RDS to perform a cross-region snapshot copy into the failover region, and configure the state machine to execute the task when the RDS snapshot create state is complete.
    Create an SNS topic subscribed to RDS availability events, and push these messages to an Amazon SQS queue located in the failover region. Configure an Auto Scaling group of worker nodes to poll the queue for new messages and make a call to Amazon RDS to restore a database from a snapshot after a checksum on the cross-region copied snapshot returns valid.
  • B. Deploy an Amazon RDS Multi-AZ instance backed by a multi-region Amazon EFS. Configure the RDS option group to enable multi-region availability for native automation of cross-region recovery and continuous data replication. Create an Amazon SNS topic subscribed to RDS- impacted events to send emails to the Database Administration team when significant query Latency is detected in a single Availability Zone.
  • C. Use Amazon RDS scheduled instance lifecycle events to create a snapshot and specify a frequency to match the RPO. Use Amazon RDS scheduled instance lifecycle event configuration to perform a cross- region snapshot copy into the failover region upon SnapshotCreateComplete events. Configure Amazon CloudWatch to alert when the CloudWatch RDS namespace CPUUtilization metric for the database instance falls to 0% and make a call to Amazon RDS to restore the database snapshot in the failover region.
  • D. Use Amazon SNS topics to receive published messages from Amazon RDS availability and backup events. Use AWS Lambda for three separate functions with calls to Amazon RDS to snapshot a database instance, create a cross-region snapshot copy, and restore an instance from a snapshot. Use a scheduled Amazon CloudWatch Events rule at a frequency matching the RPO to trigger the Lambda function to snapshot a database instance. Trigger the Lambda function to create a cross-region snapshot copy when the SNS topic for backup events receives a new message. Configure the Lambda function to restore an instance from a snapshot to trigger sending new messages published to the availability SNS topic.

Answer: D

Explanation:
https://aws.amazon.com/blogs/database/cross-region-automatic-disaster-recovery-on-amazon- rds-for-oracle-database-using-db-snapshots-and-aws-lambda/


NEW QUESTION # 251
Your application consists of 10% writes and 90% reads. You currently service all requests through a Route53 Alias Record directed towards an AWS ELB, which sits in front of an EC2 Auto Scaling Group. Your system is getting very expensive when there are large traffic spikes during certain news events, during which many more people request to read similar data all at the same time. What is the simplest and cheapest way to reduce costs and scale with spikes like this?

  • A. Create an S3 bucket and asynchronously replicate common requests responses into S3 objects.
    When a request comes in for a precomputed response, redirect to AWS S3.
  • B. Create a CloudFront Distribution and direct Route53 to the Distribution.
    Use the ELB as an Origin and specify Cache Behaviours to proxy cache requests which can be served late.
  • C. Create another ELB and Auto Scaling Group layer mounted on top of the other system, adding a tier to the system. Serve most read requests out of the top layer.
  • D. Create a Memcached cluster in AWS ElastiCache. Create cache logic to serve requests which can be served late from the in-memory cache for increased performance.

Answer: B

Explanation:
CloudFront is ideal for scenarios in which entire requests can be served out of a cache and usage patterns involve heavy reads and spikiness in demand.
A cache behavior is the set of rules you configure for a given URL pattern based on file extensions, file names, or any portion of a URL path on your website (e.g., *.jpg). You can configure multiple cache behaviors for your web distribution. Amazon CloudFront will match incoming viewer requests with your list of URL patterns, and if there is a match, the service will honor the cache behavior you configure for that URL pattern. Each cache behavior can include the following Amazon CloudFront configuration values:
origin server name, viewer connection protocol, minimum expiration period, query string parameters, cookies, and trusted signers for private content.
https://aws.amazon.com/cloudfront/dynamic-content/


NEW QUESTION # 252
A web application has been deployed using an AWS Elastic Beanstalk application. The Application Developers are concerned that they are seeing high latency in two different areas of the application:
* HTTP client requests to a third-party API
* MySQL client library queries to an Amazon RDS database
A DevOps Engineer must gather trace data to diagnose the issues.
Which steps will gather the trace information with the LEAST amount of changes and performance impacts to the application?

  • A. On the AWS Elastic Beanstalk management page for the application, enable the AWS X-Ray daemon.
    View the trace data in the X-Ray console.
  • B. Instrument the application to use the AWS X-Ray SDK. Post trace data to an Amazon Elasticsearch Service cluster. Query the trace data for calls to the HTTP client and the MySQL client.
  • C. Add additional logging to the application code. Use the Amazon CloudWatch agent to stream the application logs into Amazon Elasticsearch Service. Query the log data in Amazon ES.
  • D. Instrument the application using the AWS X-Ray SDK. On the AWS Elastic Beanstalk management page for the application, enable the X-Ray daemon. View the trace data in the X-Ray console.

Answer: D

Explanation:
Explanation/Reference:
Reference https://docs.aws.amazon.com/xray/latest/devguide/xray-gettingstarted.html


NEW QUESTION # 253
Which status represents a failure state in AWS CloudFormation?

  • A. <code>DELETE_COMPLETE_WITH_ARTIFACTS</code>
  • B. <code>ROLLBACK_FAILED</code>
  • C. <code>UPDATE_COMPLETE_CLEANUP_IN_PROGRESS</code>
  • D. <code>ROLLBACK_IN_PROGRESS</code>

Answer: D

Explanation:
ROLLBACK_IN_PROGRESS means an UpdateStack operation failed and the stack is in the process of
trying to return to the valid, pre-update state. UPDATE_COMPLETE_CLEANUP_IN_PROGRESS means
an update was successful, and CloudFormation is deleting any replaced, no longer used resources.
ROLLBACK_FAILED is not a CloudFormation state (but UPDATE_ROLLBACK_FAILED is).
DELETE_COMPLETE_WITH_ARTIFACTS does not exist at all.
Reference:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks.html


NEW QUESTION # 254
You currently have the following setup in AWS
1) An Elastic Load Balancer
2) Auto Scaling Group which launches EC2 Instances
3) AMIs with your code pre-installed
You want to deploy the updates of your app to only a certain number of users. You want to have a cost-effective solution. You should also be able to revert back quickly. Which of the below solutions is the most feasible one?

  • A. Create new AM Is with the new app. Then use the new EC2 instances in half proportion to the older instances.
  • B. Create a full second stack of instances, cut the DNS over to the new stack of instances, and change the DNS back if a rollback is needed.
  • C. Redeploy with AWS Elastic Beanstalk and Elastic Beanstalk versions. Use Route 53 Weighted Round Robin records to adjust the proportion of traffic hitting the two ELBs
  • D. Create a second ELB, and a new Auto Scaling Group assigned a new Launch Configuration. Create a new AMI with the updated app. Use Route53 Weighted Round Robin records to adjust the proportion of traffic hitting the two ELBs.

Answer: D

Explanation:
Explanation
The Weighted Routing policy of Route53 can be used to direct a proportion of traffic to your application. The best option is to create a second CLB, attach the new Autoscaling Group and then use Route53 to divert the traffic.
Option B is wrong because just having EC2 instances running with the new code will not help.
Option C is wrong because Clastic beanstalk is good for development environments, and also there is no mention of having 2 environments where environment url's can be swapped.
Option D is wrong because you still need Route53 to split the traffic.
For more information on Route53 routing policies, please refer to the below link:
* http://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html


NEW QUESTION # 255
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