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GAQM CLSSGB-001 Exam - Topic 1 Question 33 Discussion

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

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

Suggested Answer: A

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40 comments · newest first
MA
Magnolia 11 months ago
I thought it was more about existing data, but B makes sense too.
LA
Latrice 11 months ago
I think it’s A, we need a solid foundation first.
JU
Judy 12 months ago
Wait, are we really using fractional designs when we know so little?
JA
Janessa 12 months ago
Totally agree, B is the right choice!
GA
Galen 12 months ago
Little is known about the interactions.
RO
Ronnie 1 year ago
I’m leaning towards B as well, but I wonder if there are exceptions where we might use it differently.
AV
Avery 1 year 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.
SH
Sharen 1 year ago
I remember practicing a question like this, and I think the answer is B, since we use these designs to explore unknown factors.
CA
Caitlin 1 year ago
I think fractional factorial designs are used when little is known about interactions, but I'm not completely sure.
LE
Lelia 1 year 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.
AU
Audry 1 year ago
This question seems straightforward, I think the answer is TLP:AMBER based on the description.
MA
Marya 1 year ago
I remember practicing similar questions, and I feel like if accounts receivable is decreasing, it might mean turnover has actually increased, not decreased.
CA
Casie 1 year 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.
VE
Verona 1 year ago
This looks like a straightforward cloud computing question. I'll start by quickly reviewing the key cloud deployment models I've learned about.
IN
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.
PH
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.
NO
Nobuko 1 year ago
↳ replying to Phuong
D) Data exists
TA
Tammara 1 year ago
↳ replying to Phuong
B) Little is known
CO
Corrie 1 year ago
↳ replying to Phuong
A) Much is known
AN
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!
ST
Stephanie 1 year ago
↳ replying to Andra
D) Data exists
NA
Nan 1 year ago
↳ replying to Andra
B) Little is known
EL
Elfrieda 1 year ago
↳ replying to Andra
A) Much is known
TE
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.
MA
Mariann 1 year ago
↳ replying to Terrilyn
D) Data exists
RE
Rebeca 1 year ago
↳ replying to Terrilyn
A) Exactly, fractional factorial designs are used when little is known about the interactions.
KA
Karima 1 year ago
↳ replying to Terrilyn
B) Little is known
SY
Sylvia 2 years ago
B) Little is known - that's the whole point of using fractional factorial designs, to efficiently explore the unknown interactions in a process.
RH
Rhea 1 year ago
↳ replying to Sylvia
D) Data exists
AR
Ardella 1 year ago
↳ replying to Sylvia
B) Little is known - that's the whole point of using fractional factorial designs, to efficiently explore the unknown interactions in a process.
MA
Marica 1 year ago
↳ replying to Sylvia
A) Much is known
PH
Phuong 1 year ago
↳ replying to Sylvia
D) Data exists
KI
Kiley 1 year ago
↳ replying to Sylvia
B) Little is known - that's the whole point of using fractional factorial designs, to efficiently explore the unknown interactions in a process.
CA
Carey 1 year ago
↳ replying to Sylvia
A) Much is known
LI
Lindsey 2 years ago
I think option D) Data exists could also be a valid answer, as having existing data can guide the experimental approach.
CH
Chauncey 2 years ago
I agree with Verlene, using Fractional Factorial designs is helpful when little is known about the multiple metric interaction.
VE
Verlene 2 years ago
B) Little is known
NA
Na 2 years ago
I think option B makes sense, it helps in efficiently exploring the interactions with limited resources.
CH
Chuck 2 years ago
I agree with Socorro, Fractional Factorial designs are used when little is known about the multiple metric interaction.
SO
Socorro 2 years ago
B) Little is known
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