Oracle Exam 1Z0-1111-23 Topic 4 Question 21 Discussion

Actual exam question for Oracle's 1Z0-1111-23 exam

Question #: 21
Topic #: 4

Which is one of the primary use case for the circle Cloud Infrastructure (OCI) Observability and Management (O&M) Logging Analytics service?

ACreate OCI resources automatically based on log events and reports

BMonitor, aggregate, index, and analyze log data

CCentralize and relocate any log based on a subscription model

Show Suggested Answer

Suggested Answer: B

One of the primary use cases for the OCI Observability and Management (O&M) Logging Analytics service is to monitor, aggregate, index, and analyze log data. Logging Analytics is a feature of O&M that provides a unified platform for managing and analyzing log data from various sources, such as OCI services, on-premises systems, or custom applications. Logging Analytics can help you reduce noise, identify patterns, detect anomalies, and troubleshoot issues from your log data.

by Kattie at Jun 20, 2024, 10:34 PM

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Lyndia

5 months ago

Honestly, I'm just impressed that they have a service specifically for observability and management of log data. Sounds like a super handy tool for anyone working with OCI.

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Kaycee

5 months ago

Haha, Option A sounds like something straight out of a sci-fi movie. I'd love to see a system that can create resources automatically based on log events. That would be next-level stuff!

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Tennie

3 months ago

C) Centralize and relocate any log based on a subscription model

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Yesenia

3 months ago

B) Monitor, aggregate, index, and analyze log data

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Bernardine

3 months ago

A) Create OCI resources automatically based on log events and reports

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Ona

4 months ago

Yeah, Option A does sound like something out of a sci-fi movie!

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Miles

4 months ago

I think Option B is more practical for monitoring and analyzing log data.

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Merilyn

4 months ago

I know, right? Option A does sound futuristic!

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Stephen

5 months ago

I see the value in both options. Having the ability to automatically create resources based on log events can be very efficient.

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Carylon

5 months ago

This is a no-brainer. Option B is the clear winner here. I can't believe they're even offering the other options as choices. It's like they're trying to trick us or something.

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Nana

4 months ago

Yeah, monitoring, aggregating, indexing, and analyzing log data is crucial for effective management.

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Vinnie

5 months ago

I agree, option B is definitely the most important use case for OCI Logging Analytics.

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Malcom

5 months ago

I believe option A) Create OCI resources automatically based on log events and reports could also be a useful feature.

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Lavelle

5 months ago

I agree with Franklyn. Centralized log management and analysis is essential for maintaining a reliable cloud infrastructure. Option B seems to cover the key functionalities of the service.

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Malcom

4 months ago

Definitely, having a centralized system to monitor and analyze log data is essential for effective cloud infrastructure management.

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Mila

4 months ago

I also believe option B is the best choice. It seems to cover all the key functionalities of the service.

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Zona

4 months ago

Yes, I agree. Centralizing log management is crucial for maintaining a reliable cloud infrastructure.

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Alaine

5 months ago

I think option B is the correct answer. It covers monitoring, aggregating, indexing, and analyzing log data.

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Leota

5 months ago

I agree with Beula. It's important to be able to analyze log data for better insights.

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Beula

6 months ago

I think the primary use case is B) Monitor, aggregate, index, and analyze log data.

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Franklyn

6 months ago

Option B sounds like the most relevant use case for the OCI Observability and Management Logging Analytics service. Monitoring and analyzing log data is crucial for understanding system behavior and troubleshooting issues.

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Lynna

5 months ago

It definitely helps in identifying and resolving issues quickly

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Art

5 months ago

I agree, monitoring and analyzing log data is essential for system management

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Thaddeus

5 months ago

B) Monitor, aggregate, index, and analyze log data

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