Pass DOP-C02:AWS Certified DevOps Engineer Exam in 3 Days
DOP-C02 AWS Certified DevOps Engineer - Professional | Real Questions | Detail Explanations | Covers All Exam Topics
Pass DOP-C02:AWS Certified DevOps Engineer Exam in 3 Days free download
DOP-C02 AWS Certified DevOps Engineer - Professional | Real Questions | Detail Explanations | Covers All Exam Topics
DOP-C02 AWS Certified DevOps Engineer - Professional Practice Test Course
Free Sample Question 1 out of 3:
The development team at BetaCorp uses an EC2 instance with EBS storage for their staging website, and they need a solution for quick recovery with minimal data loss if network issues or power failures occur. Which solution will meet these requirements?
A. Add the instance to an EC2 Auto Scaling group with the minimum, maximum, and desired capacity set to 1.
B. Add the instance to an EC2 Auto Scaling group with a lifecycle hook to detach the EBS volume when the EC2 instance shuts down or terminates.
C. Create an Amazon CloudWatch alarm for the StatusCheckFailed System metric and select the EC2 action to recover the instance.
D. Create an Amazon CloudWatch alarm for the StatusCheckFailed Instance metric and select the EC2 action to reboot the instance.
Correct Answer: C
Explanation:
C: Creating a CloudWatch alarm for the `StatusCheckFailed System` metric and selecting the EC2 action to recover the instance is the correct solution. The `StatusCheckFailed System` metric indicates problems with the underlying hardware or the EC2 instance's host system. The "recover" action automatically migrates the instance to a new, healthy host, minimizing downtime and data loss because the EBS volume remains attached. Options A and B are incorrect because Auto Scaling replaces the instance rather than recovering it, and the lifecycle hook doesn't address immediate recovery. Option D is incorrect because rebooting the instance doesn't resolve underlying hardware issues.
Free Sample Question 2 out of 3:
At TechCorp, the mobile app team uses an ALB to route API calls to a Lambda function, and needs to track API performance across different app versions due to recent API updates. A DevOps engineer has already modified the Lambda function to extract the API operation name, version from the user-agent, and response code. Which additional set of actions should the DevOps engineer take to gather the required metrics for each API operation by response code for each application version?
A. Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.
B. Modify the Lambda function to write the API operation name, response code, and version number as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch Logs Insights query to populate CloudWatch metrics from the log lines. Specify response code and application version as dimensions for the metric.
C. Configure the ALB access logs to write to an Amazon CloudWatch Logs log group. Modify the Lambda function to respond to the ALB with the API operation name, response code, and version number as response metadata. Configure a CloudWatch Logs metric filter that increments a metric for each API operation name. Specify response code and application version as dimensions for the metric.
D. Configure AWS X-Ray integration on the Lambda function. Modify the Lambda function to create an X-Ray subsegment with the API operation name, response code, and version number. Configure X-Ray insights to extract an aggregated metric for each API operation name and to publish the metric to Amazon CloudWatch. Specify response code and application version as dimensions for the metric.
Correct Answer: A
Explanation:
Option A is correct because it offers the most direct and efficient way to collect the required metrics. Here's why:
* Direct Metric Generation: CloudWatch Logs metric filters allow you to define patterns to extract data from log events and use that data to increment a metric. This avoids the need for more complex processing.
* Custom Dimensions: You can specify dimensions for the metric, such as response code and application version, which enables you to slice and dice the metrics according to the company's requirements.
* Simplicity: This approach minimizes the amount of code and infrastructure required, making it easier to implement and maintain.
The other options are less suitable for the following reasons:
* Option B: CloudWatch Logs Insights is useful for ad-hoc querying and analysis, but it's not the best tool for continuous metric collection. It involves more overhead and complexity than metric filters.
* Option C: While ALB access logs can provide some information, they may not include the specific API operation name or application version from the user-agent header. Also, modifying the Lambda function to add response metadata is not the standard way to gather metrics.
* Option D: AWS X-Ray is designed for tracing requests through distributed systems. While it can provide some metrics, it's not the primary tool for aggregating metrics by response code and application version. It would also add unnecessary complexity.
Free Sample Question 3 out of 3:
Netflix's Streaming Platform team updated a CloudFormation template for a critical streaming application, but the update failed and the rollback entered an UPDATE_ROLLBACK_FAILED state, leaving the application unavailable; which combination of actions should a DevOps engineer perform to complete the stack rollback successfully? (Choose two.)
A. Attach the AWSCloudFormationFullAccess IAM policy to the AWS CloudFormation role.
B. Automatically recover the stack resources by using AWS CloudFormation drift detection.
C. Issue a ContinueUpdateRollback command from the AWS CloudFormation console or the AWS CLI.
D. Manually adjust the resources to match the expectations of the stack.
E. Update the existing AWS CloudFormation stack by using the original template.
Correct Answer: C and D
Explanation:
C: The `ContinueUpdateRollback` command is specifically designed to allow CloudFormation to proceed with the rollback process after a failure. It essentially picks up where the rollback left off.
D: Often, a rollback fails because the actual state of a resource doesn't match what CloudFormation expects. Manually adjusting these resources to align with the stack's expectations is often necessary to allow the rollback to complete.
A is incorrect because the issue is not about permission.
B is incorrect because drift detection identifies discrepancies but doesn't resolve a failed rollback.
E is incorrect because the original template caused the initial failure. Reusing it won't fix the problem.
Are you ready to pass the AWS Certified DevOps Engineer - Professional (DOP-C02) exam?
Our AWS DevOps Engineer Professional Practice Test Course is designed to help you master advanced DevOps concepts and confidently pass the certification exam. With realistic, exam-style questions covering all key topics, this course ensures you’re fully prepared to succeed.
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