IBM C1000-143 Exam - Topic 6 Question 70 Discussion

Actual exam question for IBM's C1000-143 exam

Question #: 70
Topic #: 6

[All C1000-143 Questions]

In Al Manager, what is a reason for missing data older than 14 days in the training log indices?

AThe current log anomaly pod is in Pending status.

BThe data retention period is 14 days.

CThe number of Elasticsearch pods and the number of total shards are less then 14.

DThe current log anomaly pod is in Error status.

Show Suggested Answer

Suggested Answer: B

by Nicolette at Nov 23, 2025, 11:46 PM

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Loreta

6 days ago

Overall, I feel B is the most straightforward answer.

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Audry

11 days ago

D could be a reason if the pod is malfunctioning.

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Tandra

17 days ago

C seems unlikely. Shards shouldn't impact retention.

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Nana

22 days ago

What about A? Pending status could affect it too.

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Melinda

27 days ago

I agree, B makes sense. 14 days is common.

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Rebbecca

1 month ago

C doesn’t make sense, the number of pods shouldn’t affect retention.

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Malcolm

1 month ago

I disagree, it’s gotta be D, errors can cause data loss too.

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Alishia

2 months ago

Wait, are you saying we lose data after just 14 days? That seems short!

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Alfred

2 months ago

I think A could also be a factor, pending status sounds sketchy.

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Jesus

2 months ago

B is definitely the reason, data retention is 14 days.

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Carla

2 months ago

Hmm, I'm going with B. Fourteen days is the perfect amount of time to forget about your data and move on to the next crisis.

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Ilene

3 months ago

C) The number of Elasticsearch pods and the number of total shards are less then 14. Sounds like a case of too many cooks in the kitchen.

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Jaclyn

3 months ago

Ah, the age-old problem of missing data. Guess the AI manager forgot to set the "Keep Data Forever" option.

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Shantell

3 months ago

B) The data retention period is 14 days.

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Margarita

3 months ago

I thought the retention period was a key point in our studies, so B seems likely, but I’m not confident about the other options either.

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Celeste

3 months ago

I recall a practice question about Elasticsearch pods, but I can't remember if the number of pods affects data retention. Could it be C?

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Vince

3 months ago

I'm not entirely sure, but I feel like the status of the log anomaly pod could be relevant. Maybe it's A or D?

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Beatriz

4 months ago

Hmm, I'm not totally confident on this one. I'll make sure to read the question thoroughly and consider each option before selecting my final answer.

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Audria

4 months ago

Ah, I think I've got it. The data retention period is 14 days, so that's likely the reason for the missing data. I'll mark that as my answer.

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Tamekia

4 months ago

I'm a bit confused on this one. I'll need to review the course material on log anomaly pods and Elasticsearch to make sure I understand the concepts.

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Corazon

4 months ago

I think the answer might be B, since I remember something about a data retention period being 14 days.

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Thersa

4 months ago

I think it's B. Data retention is usually limited.

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Angelica

5 months ago

D) The current log anomaly pod is in Error status. Clearly, the AI manager needs to call the IT crowd for some troubleshooting.

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Tiera

5 months ago

Okay, let's see. I'm pretty sure it's got something to do with the data retention period, but I'll double-check the other options just in case.

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Patti

5 months ago

Hmm, this one seems tricky. I'll need to think through the possible reasons for missing data carefully.

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Edgar

1 day ago

I think it's probably the data retention period.

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Latia

5 months ago

Definitely, if it's in Error status, that could explain it.

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