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The DOP-C01 Certification Exam consists of 65 multiple-choice and multiple-response questions that must be completed within 180 minutes. DOP-C01 exam is computer-based and can be taken at a testing center or online. The passing score for DOP-C01 exam is 750 out of 1000.

The AWS Certified DevOps Engineer - Professional or DOP-C01 certification exam is a great way for IT professionals to validate their skills and knowledge in DevOps on the AWS platform. AWS Certified DevOps Engineer - Professional certification is recognized by employers worldwide and can help professionals advance their careers in DevOps. With the right preparation, candidates can successfully pass the exam and demonstrate their expertise in DevOps on AWS.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q301-Q306):

NEW QUESTION # 301
A DevOps Engineer has a single Amazon DynamoDB table that receives shipping orders and tracks inventory.
The Engineer has three AWS Lambda functions reading from a DymamoDB stream on that table. The Lambda functions perform various functions such as doing an item count, moving items to Amazon Kinesis Data Firehose, monitoring inventory levels, and creating vendor orders when parts are low.
While reviewing logs, the Engineer notices the Lambda functions occasionally fail under increased load, receiving a stream throttling error.
Which is the MOST cost-effective solution that requires the LEAST amount of operational management?

• A. Have the Lambda functions query the table directly and disable DynamoDB streams. Then have the Lambda functions query from a global secondary index.
• B. Create a fourth Lambda function and configure it to be the only Lambda reading from the stream. Then use this Lambda function to pass the payload to the other three Lambda functions.
• C. Use Amazon Kinesis streams instead of DynamoDB streams, then use Kinesis analytics to trigger the Lambda functions.
• D. Use AWS Glue integration to ingest the DynamoDB stream, then migrate the Lambda code to an AWS Fargate task.

Answer: B

NEW QUESTION # 302
You have an Autoscaling Group configured to launch EC2 Instances for your application. But you notice that the Autoscaling Group is not launching instances in the right proportion. In fact instances are being launched too fast. What can you do to mitigate this issue? Choose 2 answers from the options given below

• A. Adjust the Memory threshold set forthe Autoscaling scale-in and scale-out process.
• B. Set a custom metric which monitors a key application functionality forthe scale-in and scale-out process.
• C. Adjust the cooldown period set for the Autoscaling Group
• D. Adjust the CPU threshold set for the Autoscaling scale-in and scale-out process.

Answer: B,C

Explanation:
Explanation
The Auto Scaling cooldown period is a configurable setting for your Auto Scaling group that helps to ensure that Auto Scaling doesn't launch or terminate additional instances before the previous scaling activity takes effect.
For more information on the cool down period, please refer to the below link:
* http://docs