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Amazon DOP-C02 Exam - Topic 7 Question 39 Discussion

A company has configured Amazon RDS storage autoscaling for its RDS DB instances. A DevOps team needs to visualize the autoscaling events on an Amazon CloudWatch dashboard. Which solution will meet this requirement?
A) Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events from RDS events. Create an AWS Lambda function that publishes a CloudWatch custom metric. Configure the EventBridge rule to invoke the Lambda function. Visualize the custom metric by using the CloudWatch dashboard.
B) Create a trail by using AWS CloudTrail with management events configured. Configure the trail to send the management events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.
C) Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events (rom the RDS events. Create a CloudWatch alarm. Configure the EventBridge rule to change the status of the CloudWatch alarm. Visualize the alarm status by using the CloudWatch dashboard.
D) Create a trail by using AWS CloudTrail with data events configured. Configure the trail to send the data events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard. Step 1: Reacting to RDS Storage Autoscaling Events Using Amazon EventBridge Amazon RDS emits events when storage autoscaling occurs. To visualize these events in a CloudWatch dashboard, you can create an EventBridge rule that listens for these specific autoscaling events. Action: Create an EventBridge rule that reacts to RDS storage autoscaling events from the RDS event stream. Why: EventBridge allows you to listen to RDS events and route them to specific AWS services for processing. Step 2: Creating a Custom CloudWatch Metric via Lambda Once the EventBridge rule detects a storage autoscaling event, you can use a Lambda function to publish a custom metric to CloudWatch. This metric can then be visualized in a CloudWatch dashboard. Action: Use a Lambda function to publish custom metrics to CloudWatch based on the RDS storage autoscaling events. Why: Custom metrics allow you to track specific events like autoscaling and visualize them easily on a CloudWatch dashboard.

Amazon DOP-C02 Exam - Topic 7 Question 39 Discussion

Actual exam question for Amazon's DOP-C02 exam
Question #: 39
Topic #: 7
[All DOP-C02 Questions]

A company has configured Amazon RDS storage autoscaling for its RDS DB instances. A DevOps team needs to visualize the autoscaling events on an Amazon CloudWatch dashboard. Which solution will meet this requirement?

Show Suggested Answer Hide Answer
Suggested Answer: A

This corresponds to Option A: Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events from RDS events. Create an AWS Lambda function that publishes a CloudWatch custom metric. Configure the EventBridge rule to invoke the Lambda function. Visualize the custom metric by using the CloudWatch dashboard.

by Rolf at Oct 24, 2024, 11:57 PM

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Caitlin
6 months ago
Definitely going with A, it's straightforward and effective!
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Billye
6 months ago
Wait, can CloudTrail even track those autoscaling events?
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Kaycee
7 months ago
Not sure about using Lambda, seems like overkill for just metrics.
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Ammie
7 months ago
I agree, EventBridge with Lambda is a solid approach!
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Francine
7 months ago
Option A seems like the best choice for visualizing autoscaling events.
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Nikita
7 months ago
I vaguely recall that using CloudTrail with management events could work, but I’m not confident it captures the specific autoscaling events we need for visualization.
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Viola
7 months ago
I’m leaning towards option A because it directly addresses the autoscaling events, but I’m a bit confused about how the Lambda function integrates with CloudWatch.
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Cherry
8 months ago
I remember practicing a similar question where we used CloudTrail, but I feel like it might not be the best fit here since we're focusing on real-time events.
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Rozella
8 months ago
I think the EventBridge rule is definitely the right approach, but I'm not entirely sure if we need the Lambda function for custom metrics.
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Veta
8 months ago
This is a great question that tests our understanding of various AWS services and how they can be integrated. I feel confident I can work through this step-by-step and arrive at the correct solution.
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Julieta
8 months ago
I'm not too familiar with EventBridge, so I'll need to do some research on that before the exam. But the overall concept of visualizing the autoscaling events in CloudWatch makes sense to me.
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Arminda
8 months ago
Option A seems like the best approach to me. Creating an EventBridge rule to capture the events and then using a Lambda function to publish custom metrics is a clean and efficient solution.
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Ronald
8 months ago
Hmm, I'm a bit confused about the different options here. I'll need to carefully read through each one and make sure I understand the differences between them before deciding.
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Aja
8 months ago
This looks like a straightforward question, I think I can handle it. The key is to use EventBridge to capture the RDS autoscaling events and then publish custom metrics to CloudWatch.
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Alyssa
2 years ago
Hold up, did anyone else notice the typo in the question? It says 'rom' instead of 'from' in option C. These exam writers need to be more careful!
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Vernice
1 year ago
It shouldn't affect the answer, but it does make it look unprofessional.
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Thea
1 year ago
I wonder if that typo affects the correct answer.
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Alesia
1 year ago
Yeah, they should definitely proofread better.
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Salome
2 years ago
I agree, that typo is pretty noticeable.
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Marnie
2 years ago
Nah, option D is a no-go. Using data events with CloudTrail instead of management events is not the right approach here.
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Delmy
2 years ago
Hmm, option C is interesting, but changing the status of a CloudWatch alarm doesn't seem as informative as tracking the actual autoscaling events.
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Lanie
2 years ago
Option B looks good too, but using CloudTrail and CloudWatch Logs feels a bit more roundabout than the direct approach in option A.
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Elvera
1 year ago
C) Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events from the RDS events. Create a CloudWatch alarm. Configure the EventBridge rule to change the status of the CloudWatch alarm. Visualize the alarm status by using the CloudWatch dashboard.
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Cassie
1 year ago
D) Create a trail by using AWS CloudTrail with data events configured. Configure the trail to send the data events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.
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Queenie
2 years ago
B) Option B looks good too, but using CloudTrail and CloudWatch Logs feels a bit more roundabout than the direct approach in option A.
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Freeman
2 years ago
A) Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events from RDS events. Create an AWS Lambda function that publishes a CloudWatch custom metric. Configure the EventBridge rule to invoke the Lambda function. Visualize the custom metric by using the CloudWatch dashboard.
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Dorcas
2 years ago
This is a great question! I think option A is the best solution as it directly integrates the RDS storage autoscaling events with a custom CloudWatch metric, which can be easily visualized on the dashboard.
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Cordelia
2 years ago
User1: It definitely streamlines the process and makes monitoring the autoscaling events much easier.
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Rebeca
2 years ago
User2: Yeah, creating an EventBridge rule to react to the events and then using a Lambda function to publish a custom metric makes sense.
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Cassie
2 years ago
User1: I agree, option A seems like the most direct solution to visualize the autoscaling events on the CloudWatch dashboard.
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Diego
2 years ago
I agree with Johna. Option A seems to be the most suitable solution for visualizing autoscaling events on the CloudWatch dashboard.
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Johna
2 years ago
I think option A is the correct solution. It involves using EventBridge to react to RDS storage autoscaling events and then using Lambda to publish a custom metric to CloudWatch.
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