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Microsoft DP-100 Exam - Topic 4 Question 106 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 106
Topic #: 4
[All DP-100 Questions]

You use the Azure Machine learning SDK foe Python to create a pipeline that includes the following step:

The output of the step run must be cached and reused on subsequent runs when the source.directory value has not changed.

You need to define the step.

What should you include in the step definition?

Show Suggested Answer Hide Answer
Suggested Answer: B

by Emilio at Jun 29, 2024, 01:27 AM

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Dong
3 months ago
Wait, is caching really that straightforward?
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Ria
3 months ago
I agree, A seems right.
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Marjory
3 months ago
Not so sure about A, could be B too.
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Shonda
4 months ago
Definitely A! Makes sense for caching.
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Delsie
4 months ago
I think the answer is A, allow.reuse.
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Hayley
4 months ago
I vaguely recall that `version` might be related to managing different runs, but I don't think it directly relates to caching outputs.
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Shoshana
4 months ago
I’m a bit confused about the options. I thought `data-as_input` was more about input data rather than caching outputs.
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Rose
4 months ago
I think I practiced a question similar to this, and I feel like `hash_path` was mentioned in that context.
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Malinda
5 months ago
I remember something about caching in Azure ML, but I'm not sure if it's `allow.reuse` or `hash_path`.
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Shelia
5 months ago
This seems straightforward to me. The question clearly states that the output needs to be cached and reused when the source.directory value hasn't changed, so 'allow.reuse' is definitely the way to go. I'm confident that's the right answer.
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Chery
5 months ago
I'm a bit confused on the specifics here. Is 'hash_path' or 'data-as_input(name-)' also a valid option, or do I need to focus on 'allow.reuse'? I want to make sure I fully understand the requirements before selecting an answer.
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Shanda
5 months ago
Okay, let's think this through step-by-step. The key is that the output needs to be cached and reused when the source.directory value hasn't changed. I'm pretty sure the 'allow.reuse' option is what we're looking for.
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Glory
5 months ago
Hmm, this looks like a tricky one. I'll need to carefully review the Azure Machine Learning SDK documentation to understand the different options for caching and reusing step outputs.
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Brice
5 months ago
This seems like a tricky one. I'll need to think carefully about the different aspects of information reliability and how they apply here.
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Kenneth
5 months ago
I'm not entirely confident, but I think the correct answer might be C. Anomaly detection can be enabled on entities, which could include various components or elements within a system.
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Winfred
5 months ago
Hmm, I'm not too familiar with IPv6 in GCP. I'll need to review the documentation on how to set that up properly.
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Percy
10 months ago
The correct answer is obviously E) 42. That's the answer to everything, isn't it?
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Walton
9 months ago
D) version
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Keshia
9 months ago
C) data-as_input(name-)
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Latia
9 months ago
B) hash_path
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Rose
10 months ago
A) allow.reuse
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Howard
10 months ago
Hmm, this is a tricky one. I'm going to go with D) version, just for the fun of it. Who knows, maybe they're looking for a creative answer!
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Jean
8 months ago
User4: I'll stick with D) version
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Daniela
9 months ago
User3: I'll choose D) version
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Hyman
9 months ago
User2: I'm going with B) hash_path
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Bettye
9 months ago
User3: I'll choose C) data-as_input(name-)
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Willow
9 months ago
User1: I think it's A) allow.reuse
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Lou
9 months ago
User2: I'm going with B) hash_path
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Whitley
10 months ago
User1: I think it's A) allow.reuse
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Paris
10 months ago
I'm torn between B) hash_path and D) version. Both seem like they could potentially be used to achieve the caching and reuse functionality. I'll have to think this one through a bit more.
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Lillian
10 months ago
The question mentions that the output of the step must be cached and reused, so I'm going with B) hash_path as well. Seems like the most relevant option.
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Carin
9 months ago
Exactly, hash_path is the correct choice for ensuring the output is cached and reused when the source.directory value has not changed.
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Zachary
10 months ago
That's a good choice, but I believe B) hash_path is more relevant in this case.
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Tora
10 months ago
I think the answer is B) hash_path. This seems to be the option that would allow the output of the step to be cached and reused on subsequent runs.
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Hildegarde
11 months ago
I'm not sure, but it makes sense to include allow.reuse to cache the output.
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Fanny
11 months ago
I agree with Vallie, because we want to cache and reuse the output.
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Vallie
11 months ago
I think the answer is A) allow.reuse.
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