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GAQM CLSSGB-001 Exam - Topic 1 Question 33 Discussion

Fractional Factorial designs for an experimental approach are used when ____________ about the multiple metric interaction in a process.
A) Much is known
B) Little is known
C) We don't care
D) Data exists

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
9 months ago
I thought it was more about existing data, but B makes sense too.
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Latrice
10 months ago
I think it’s A, we need a solid foundation first.
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Judy
10 months ago
Wait, are we really using fractional designs when we know so little?
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Janessa
10 months ago
Totally agree, B is the right choice!
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Galen
10 months ago
Little is known about the interactions.
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Ronnie
10 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
11 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
11 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
11 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
11 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
11 months ago
This question seems straightforward, I think the answer is TLP:AMBER based on the description.
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Marya
11 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
11 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
11 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
1 year 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
1 year 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
1 year ago
D) Data exists
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Tammara
1 year ago
B) Little is known
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Corrie
1 year ago
A) Much is known
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Andra
1 year 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
1 year ago
D) Data exists
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Nan
1 year ago
B) Little is known
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Elfrieda
1 year ago
A) Much is known
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Terrilyn
1 year 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
1 year ago
D) Data exists
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Rebeca
1 year ago
A) Exactly, fractional factorial designs are used when little is known about the interactions.
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Karima
1 year ago
B) Little is known
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Sylvia
1 year 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
1 year ago
D) Data exists
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Ardella
1 year 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
1 year ago
A) Much is known
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Phuong
1 year ago
D) Data exists
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Kiley
1 year 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
1 year ago
A) Much is known
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Lindsey
1 year 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
1 year 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
1 year ago
B) Little is known
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Na
1 year ago
I think option B makes sense, it helps in efficiently exploring the interactions with limited resources.
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Chuck
1 year ago
I agree with Socorro, Fractional Factorial designs are used when little is known about the multiple metric interaction.
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Socorro
1 year ago
B) Little is known
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