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GAQM CLSSGB-001 Exam - Topic 1 Question 33 Discussion

Actual exam question for GAQM's CLSSGB-001 exam
Question #: 33
Topic #: 1
[All CLSSGB-001 Questions]

Fractional Factorial designs for an experimental approach are used when ____________ about the multiple metric interaction in a process.

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Suggested Answer: A

by Marvel at Jul 04, 2023, 02:51 AM

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Magnolia
3 months ago
I thought it was more about existing data, but B makes sense too.
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Latrice
3 months ago
I think it’s A, we need a solid foundation first.
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Judy
4 months ago
Wait, are we really using fractional designs when we know so little?
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Janessa
4 months ago
Totally agree, B is the right choice!
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Galen
4 months ago
Little is known about the interactions.
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Ronnie
4 months ago
I’m leaning towards B as well, but I wonder if there are exceptions where we might use it differently.
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Avery
4 months ago
I feel like it could be A too, but that doesn't seem right. We usually use fractional designs when we need to learn more, not when we already know a lot.
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Sharen
5 months ago
I remember practicing a question like this, and I think the answer is B, since we use these designs to explore unknown factors.
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Caitlin
5 months ago
I think fractional factorial designs are used when little is known about interactions, but I'm not completely sure.
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Lelia
5 months ago
This seems like a straightforward configuration question. I'll need to carefully consider the requirements and the options provided to determine the best solution.
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Audry
5 months ago
This question seems straightforward, I think the answer is TLP:AMBER based on the description.
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Marya
5 months ago
I remember practicing similar questions, and I feel like if accounts receivable is decreasing, it might mean turnover has actually increased, not decreased.
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Casie
5 months ago
This looks like a straightforward question about setting up barcodes in Dynamics 365. I think the key is to minimize the risk of errors, so I'll focus on the options that mention validation or security.
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Verona
5 months ago
This looks like a straightforward cloud computing question. I'll start by quickly reviewing the key cloud deployment models I've learned about.
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India
9 months ago
I heard they're working on a Fractional Factorial design for the perfect recipe of a half-baked idea. It's a work in progress.
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Phuong
10 months ago
D) Data exists? Well, duh, you kind of need data to run a fractional factorial design. But the key is that you don't know much about how the factors interact.
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Nobuko
8 months ago
D) Data exists
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Tammara
8 months ago
B) Little is known
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Corrie
9 months ago
A) Much is known
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Andra
10 months ago
C) We don't care? Haha, nice try. Of course we care about the interactions - that's why we use fractional factorial designs in the first place!
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Stephanie
9 months ago
D) Data exists
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Nan
9 months ago
B) Little is known
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Elfrieda
9 months ago
A) Much is known
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Terrilyn
10 months ago
A) Much is known? No way, that's the opposite of what fractional factorial designs are for. You use them when you have limited knowledge about the interactions.
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Mariann
8 months ago
D) Data exists
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Rebeca
9 months ago
A) Exactly, fractional factorial designs are used when little is known about the interactions.
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Karima
10 months ago
B) Little is known
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Sylvia
10 months ago
B) Little is known - that's the whole point of using fractional factorial designs, to efficiently explore the unknown interactions in a process.
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Rhea
8 months ago
D) Data exists
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Ardella
8 months ago
B) Little is known - that's the whole point of using fractional factorial designs, to efficiently explore the unknown interactions in a process.
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Marica
8 months ago
A) Much is known
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Phuong
8 months ago
D) Data exists
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Kiley
9 months ago
B) Little is known - that's the whole point of using fractional factorial designs, to efficiently explore the unknown interactions in a process.
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Carey
10 months ago
A) Much is known
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Lindsey
10 months ago
I think option D) Data exists could also be a valid answer, as having existing data can guide the experimental approach.
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Chauncey
11 months ago
I agree with Verlene, using Fractional Factorial designs is helpful when little is known about the multiple metric interaction.
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Verlene
11 months ago
B) Little is known
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Na
11 months ago
I think option B makes sense, it helps in efficiently exploring the interactions with limited resources.
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Chuck
11 months ago
I agree with Socorro, Fractional Factorial designs are used when little is known about the multiple metric interaction.
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Socorro
11 months ago
B) Little is known
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