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Amazon DOP-C02 Exam - Topic 3 Question 19 Discussion

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 LogsThe 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 daysWhich solution will provide this information'?
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
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.
B) Create 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
D) Create 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

Amazon DOP-C02 Exam - Topic 3 Question 19 Discussion

Actual exam question for Amazon's DOP-C02 exam
Question #: 19
Topic #: 3
[All DOP-C02 Questions]

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'?

Show Suggested Answer Hide 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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Christiane
9 months ago
B is definitely not the right way to go here.
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Tammy
9 months ago
Wait, can you really do that with a dashboard? Sounds too easy!
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Aleshia
10 months ago
I’m not sure about D, that sounds a bit complicated for just counting logins.
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Heike
10 months ago
I think A could work too, but C is more straightforward.
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Gary
10 months ago
Option C seems like the best choice for counting logins.
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Delisa
10 months ago
I feel like a dashboard might be overkill for just counting logins, but option D does sound like it could work if set up correctly.
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Elbert
11 months ago
I recall something about using subscription filters, but I can't remember if that was for real-time processing or for this kind of analysis.
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Delfina
11 months ago
I'm not entirely sure, but I feel like metric filters could be useful here. Was it option A or B that involved creating a metric filter?
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Nelida
11 months ago
I think option C sounds familiar; I remember practicing with CloudWatch Logs Insights queries to analyze log data.
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Kristeen
11 months ago
This seems straightforward enough. I think I'll go with option D and create a CloudWatch dashboard with a number widget that filters the log data directly. That way, I can easily see the login count for the specific user without having to write a custom query.
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Felicitas
11 months ago
I'm a little confused by the difference between options A and B. Both seem to involve creating some kind of metric, but I'm not sure which one is more appropriate for this use case. I'll need to read through the details of each option carefully before deciding.
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Stanford
11 months ago
Okay, I've got this. The key here is that we need to aggregate the login data over the past 7 days, and option C with the CloudWatch Logs Insights query is the best way to do that. I'll make sure to include the appropriate time range in the query.
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Cecilia
11 months ago
Hmm, I'm a bit unsure about this one. The question mentions a log group in CloudWatch Logs, so I'm thinking option A or B might be the way to go, but I'm not sure which one would be better. I'll need to review the differences between metric filters and subscriptions.
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Ronald
11 months ago
This looks like a straightforward CloudWatch Logs question. I think I'll go with option C - the CloudWatch Logs Insights query seems like the most direct way to get the login count for a specific user over the past 7 days.
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Terry
11 months ago
Hmm, I'm a bit unsure about this one. The ITIL guiding principles are something I've studied, but I'm having trouble remembering the specifics of how they're used. I'll have to think this through step-by-step.
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Micaela
11 months ago
I'm feeling a little lost on this one. I'll have to re-read the question and options carefully to figure out the right approach.
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Shelba
11 months ago
I remember a practice question where similar salary increases affected the Cost to Income Ratio, but I'm a bit uncertain about the Net Interest Margin.
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Paulene
11 months ago
I feel like we discussed that local requirements are crucial, so A seems like a strong choice, but I'm second-guessing myself.
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Noah
2 years 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
2 years 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
2 years 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
2 years 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
2 years 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
2 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
2 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
2 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
2 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
2 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
2 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
2 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
2 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
2 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
2 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
2 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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