IBM Exam C1000-143 Topic 3 Question 50 Discussion

Actual exam question for IBM's C1000-143 exam

Question #: 50
Topic #: 3

What is required when loading log data into Al Manager for log anomaly training?

AData from every configured source of historical log data should be loaded before training.

BData connections that support multiple sources should be used for training separately from single data source connections.

CData should be loaded by one source per training cycle.

DSingle data source connections only can be used for training.

Show Suggested Answer

Suggested Answer: B

by Lai at Sep 17, 2024, 09:55 PM

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Annmarie

21 days ago

Wait, we're training an AI to spot log anomalies? I hope it doesn't try to take over the world like in the movies!

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Curtis

4 days ago

B) Data connections that support multiple sources should be used for training separately from single data source connections.

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Lizette

7 days ago

A) Data from every configured source of historical log data should be loaded before training.

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Cassi

24 days ago

I'm going to have to go with B. Handling multiple sources separately seems like the way to avoid any data conflicts or confusion.

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Jamal

27 days ago

Option A sounds like a lot of work, but maybe it's the most thorough approach. Hmm, tough choice.

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Carol

6 days ago

B) Data connections that support multiple sources should be used for training separately from single data source connections.

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Tien

9 days ago

A) Data from every configured source of historical log data should be loaded before training.

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Shawnda

1 months ago

D is the correct answer. Single data source connections are the way to go for training. No need to overcomplicate things.

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Cherry

5 days ago

Yeah, no need to overcomplicate things. D is the way to go.

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Charlette

14 days ago

Agreed, it's simpler to use a single data source for training.

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Valentine

22 days ago

I think D is the correct answer. Single data source connections are best for training.

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Richelle

1 months ago

I see both points, but I think option B could also work well by using data connections that support multiple sources for training separately.

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Annmarie

1 months ago

I'm inclined to go with C. One source per training cycle keeps things simple and streamlined.

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Salena

4 days ago

C is the way to go. Loading data by one source per training cycle will help keep things organized.

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Maira

22 days ago

I agree with B. Using data connections that support multiple sources will make the training more efficient.

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Romana

23 days ago

I think A is the best option. We need data from every configured source for accurate training.

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Claribel

1 months ago

Option B seems the way to go. Handling multiple sources separately makes the most sense for training.

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Jettie

1 months ago

Plus, it allows for more flexibility in handling different types of log data during the training process.

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Lynsey

1 months ago

It definitely helps in keeping the data organized and makes it easier to analyze for log anomaly training.

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Felicitas

1 months ago

I agree, using data connections that support multiple sources for training separately is the best approach.

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Glory

2 months ago

I disagree, I believe option C is more efficient as loading data by one source per training cycle can help in better analysis.

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Dorethea

2 months ago

I think option A is the best choice because all historical log data should be loaded before training.

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