Amazon Exam DOP-C02 Topic 3 Question 19 Discussion

Actual exam question for Amazon's DOP-C02 exam

Question #: 19
Topic #: 3

A company's application runs on Amazon EC2 instances. The application writes to a log file that records the username, date, time: and source IP address of the login. The log is published to a log group in Amazon CloudWatch Logs

The company is performing a root cause analysis for an event that occurred on the previous day The company needs to know the number of logins for a specific user from the past 7 days

Which solution will provide this information'?

ACreate a CloudWatch Logs metric filter on the log group Use a filter pattern that matches the username. Publish a CloudWatch metric that sums the number of logins over the past 7 days.

BCreate a CloudWatch Logs subscription on the log group Use a filter pattern that matches the username Publish a CloudWatch metric that sums the number of logins over the past 7 days

CCreate a CloudWatch Logs Insights query that uses an aggregation function to count the number of logins for the username over the past 7 days. Run the query against the log group

DCreate a CloudWatch dashboard. Add a number widget that has a filter pattern that counts the number of logins for the username over the past 7 days directly from the log group

Show Suggested Answer

Suggested Answer: C

To analyze and find the number of logins for a specific user from the past 7 days, a CloudWatch Logs Insights query is the most suitable solution. CloudWatch Logs Insights enables you to interactively search and analyze your log data in Amazon CloudWatch Logs. You can use the query language to perform queries that contain multiple commands, including aggregation functions, which can count the occurrences of logins for a specific username over a specified time period. This approach is more direct and efficient than creating a metric filter or subscription, which would require additional steps to publish and sum a metric.Reference:AWS Certified DevOps Engineer - Professional,CloudWatch Logs Insights query syntax,Tutorial: Run a query with an aggregation function,Add or remove a number widget from a CloudWatch dashboard.

by Cecily at Mar 04, 2024, 12:29 PM

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Noah

12 months ago

I agree. Let's choose between option C and A for our solution to determine the number of logins for the specific user over the past 7 days.

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Corazon

12 months ago

I think we should go with either option C or A, as both seem like they would give us the information we need for the analysis.

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Mitsue

12 months ago

I see your point, but I think option C is better because it specifically uses an aggregation function to count the logins, which could be more accurate.

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Gilma

12 months ago

But what about option A? Creating a CloudWatch Logs metric filter and publishing a CloudWatch metric also seems like a viable solution.

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Floyd

12 months ago

I agree, option C seems like the most efficient way to get the information we need for the root cause analysis.

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Fatima

1 years ago

I think option C is the best solution, as it allows us to use an aggregation function to count the number of logins for the specific user over the past 7 days.

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Josephine

1 years ago

I think creating a CloudWatch Logs subscription with a filter pattern and publishing a metric summing the logins over the past 7 days is the best option

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Ashlee

1 years ago

But wouldn't creating a CloudWatch dashboard with a number widget and using a filter pattern directly from the log group be more efficient?

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Thurman

1 years ago

I disagree. I believe creating a CloudWatch Logs metric filter and publishing a metric summing the logins over the past 7 days is the way to go

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Ashlee

1 years ago

I think the solution is to create a CloudWatch Logs Insights query to count the logins over the past 7 days

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Garry

1 years ago

I was leaning towards D, but now I think C is the better choice. Creating a dashboard just to display the login count seems a bit excessive. The Logs Insights query is more efficient.

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Clorinda

1 years ago

Yeah, C is the way to go. The other options involve creating additional metrics or dashboards, which might be overkill for this particular use case. The Logs Insights query is a nice, clean solution.

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Linwood

1 years ago

I agree, C seems like the most direct approach. The question is specifically asking for the number of logins, and the CloudWatch Logs Insights query can provide that aggregated data directly from the log group.

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Carmela

1 years ago

C) Create a CloudWatch Logs Insights query that uses an aggregation function to count the number of logins for the username over the past 7 days. Run the query against the log group.

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Paulina

1 years ago

A) Create a CloudWatch Logs metric filter on the log group Use a filter pattern that matches the username. Publish a CloudWatch metric that sums the number of logins over the past 7 days.

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Lenna

1 years ago

This seems like a straightforward question about analyzing log data in CloudWatch. I think the best solution is C - creating a CloudWatch Logs Insights query to count the number of logins for the specific user over the past 7 days.

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