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Microsoft Exam AI-102 Topic 11 Question 65 Discussion

Actual exam question for Microsoft's AI-102 exam
Question #: 65
Topic #: 11
[All AI-102 Questions]

You are building a solution that will detect anomalies in sensor data from the previous 24 hours.

You need to ensure that the solution scans the entire dataset, at the same time, for anomalies.

Which type of detection should you use?

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Maryln
2 months ago
Hmm, batch detection is the way to go. Anything else would be like trying to herd cats with a laser pointer. Simple and effective, that's my motto!
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Colette
21 days ago
I think streaming detection would be too complex for this task. Batch detection is definitely the way to go.
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Clare
1 months ago
B) streaming
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Noble
1 months ago
I agree, batch detection is the most efficient way to scan the entire dataset for anomalies.
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Frederick
2 months ago
A) batch
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Jerry
2 months ago
Change point detection? Really? That sounds like it's for something completely different. I'm going to have to think this one through.
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Dahlia
2 months ago
I'm not sure, batch and streaming both have their pros and cons. Maybe I should re-read the question more carefully.
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Vivienne
1 months ago
B) streaming
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Alona
2 months ago
A) batch
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Candra
2 months ago
Batch detection seems like the obvious choice here. Scanning the entire dataset at once is what batch processing is all about.
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Jutta
1 months ago
Batch processing is definitely the best option for this situation.
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Leota
1 months ago
Change point detection is more about identifying shifts in data patterns, not scanning the entire dataset.
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Reuben
2 months ago
Streaming detection wouldn't work well for this scenario since it processes data in real-time.
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Vincenza
2 months ago
I agree, batch detection is the way to go for scanning the entire dataset at once.
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Noble
2 months ago
I disagree, I think batch processing would be better to scan the entire dataset at once for anomalies.
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Marci
3 months ago
I agree with Kimberlie, streaming would be more efficient for detecting anomalies as they occur.
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Kimberlie
3 months ago
I think we should use streaming for real-time detection.
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