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Which two statements are correct regarding variable Dimensions in marketing Cloud intelligence's data model?
Suggested Answer: B, D
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33 comments · newest first
EV
Evelynn
11 months ago
I always thought variable dimensions were tied to specific entities.
FL
Flo
11 months ago
D makes sense, they are pretty standalone.
HY
Hyman
12 months ago
Wait, are we sure about C? That sounds too broad.
TO
Tonette
12 months ago
A seems off to me, I thought they were more universal.
MA
Martina
1 year ago
I think B is definitely correct!
CO
Corazon
1 year ago
I’m leaning towards option D because it makes sense that they would be standalone dimensions related to the data set.
JO
Johna
1 year ago
I practiced a question similar to this, and I think the idea of overarching dimensions is a bit confusing.
TR
Trinidad
1 year ago
I remember something about Many-to-Many relationships, so I feel like option B could be correct.
PE
Penney
1 year ago
I think variable dimensions might be stored at the workspace level, but I'm not entirely sure.
ES
Estrella
1 year ago
Ah, I think I've got this. Variable dimensions are stored at the workspace level and are standalone, not tied to a specific entity. A and D seem like the right choices.
PI
Pilar
1 year ago
I'm a bit confused by the wording of this question. Can variable dimensions really have a many-to-many relationship with the main entity? I'll need to review my notes to be sure.
ME
Melodie
1 year ago
Variable dimensions, huh? I remember learning about those in class. I'm pretty confident that A and B are the correct answers here.
EL
Elly
1 year ago
Okay, let's see. I think options A and D sound right, but I'm not totally sure about the relationship with the main entity. I'll need to double-check that.
LA
Laurene
1 year ago
Hmm, this question seems a bit tricky. I'll need to carefully read through the options and think about how variable dimensions work in Marketing Cloud Intelligence.
RI
Rikki
1 year ago
Ah, I see what they're getting at here. The key is to identify the construction issue that is not listed as a best practice. I think I've got a good strategy for tackling this.
MI
Mike
2 years ago
B and D for sure. I'm not trying to get lost in some 'overarching' dimension. Keep it simple, folks!
PU
Pura
2 years ago
No need to overcomplicate things with overarching dimensions.
OC
Octavio
2 years ago
Definitely, keeping it simple with stand alone dimensions.
MA
Mattie
2 years ago
I agree, B and D are the correct statements.
PA
Paris
2 years ago
I'm leaning towards A and D. Workspace level storage and standalone dimensions. Gotta love those data models!
LA
Laticia
2 years ago
Definitely, it's all about making the data model as efficient and user-friendly as possible.
ST
Staci
2 years ago
I agree, having standalone dimensions can make it easier to analyze and manipulate the data.
RA
Raymon
2 years ago
Yeah, it definitely simplifies things when the dimensions are independent like that.
IZ
Izetta
2 years ago
I think A and D are correct too. Makes sense for workspace level storage and standalone dimensions.
RI
Richelle
2 years ago
I see your point, but I still think A and D make more sense.
CA
Catrice
2 years ago
Ha! Overarching dimensions? Sounds like a superhero power. I'll go with B and C.
FA
Fanny
2 years ago
B and D seem correct to me. Variable Dimensions are standalone dimensions that describe the data set, not a specific entity. Makes sense.
DI
Dick
2 years ago
Exactly, they are at the workspace level and have a Many-to-Many relationship with the main entity.
EL
Eloisa
2 years ago
So, they are more like overarching dimensions that apply to all data sets.
JO
Jordan
2 years ago
Yes, that's right. They are not tied to a specific entity.
JO
Joni
2 years ago
I think B and D are correct. Variable Dimensions are standalone dimensions that describe the data set.
SH
Sheldon
2 years ago
I disagree, I believe it's B and C.
RI
Richelle
2 years ago
I think the correct statements are A and D.