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Salesforce Marketing Cloud Intelligence Accredited Professional (AP-215) Exam - Topic 3 Question 20 Discussion

Which two statements are correct regarding variable Dimensions in marketing Cloud intelligence's data model?
B) Variable Dimensions hold a Many-to-Many relationship with its main entity and D) These are stand alone dimensions that pertain to the data set itself rather than to a specific entity
A) These dimensions are stored at the workspace level
C) All variables exist in every data set type, hence are considered as overarching dimensions

Salesforce Marketing Cloud Intelligence Accredited Professional (AP-215) Exam - Topic 3 Question 20 Discussion

Actual exam question for Salesforce's Marketing Cloud Intelligence Accredited Professional (AP-215) exam
Question #: 20
Topic #: 3
[All Marketing Cloud Intelligence Accredited Professional (AP-215) Questions]

Which two statements are correct regarding variable Dimensions in marketing Cloud intelligence's data model?

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Suggested Answer: B, D

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Evelynn
6 months ago
I always thought variable dimensions were tied to specific entities.
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Flo
6 months ago
D makes sense, they are pretty standalone.
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Hyman
7 months ago
Wait, are we sure about C? That sounds too broad.
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Tonette
7 months ago
A seems off to me, I thought they were more universal.
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Martina
7 months ago
I think B is definitely correct!
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Corazon
7 months ago
I’m leaning towards option D because it makes sense that they would be standalone dimensions related to the data set.
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Johna
8 months ago
I practiced a question similar to this, and I think the idea of overarching dimensions is a bit confusing.
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Trinidad
8 months ago
I remember something about Many-to-Many relationships, so I feel like option B could be correct.
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Penney
8 months ago
I think variable dimensions might be stored at the workspace level, but I'm not entirely sure.
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Estrella
8 months 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.
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Pilar
8 months 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.
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Melodie
8 months ago
Variable dimensions, huh? I remember learning about those in class. I'm pretty confident that A and B are the correct answers here.
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Elly
8 months 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.
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Laurene
8 months 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.
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Rikki
8 months 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.
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Mike
2 years ago
B and D for sure. I'm not trying to get lost in some 'overarching' dimension. Keep it simple, folks!
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Pura
2 years ago
No need to overcomplicate things with overarching dimensions.
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Octavio
2 years ago
Definitely, keeping it simple with stand alone dimensions.
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Mattie
2 years ago
I agree, B and D are the correct statements.
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Paris
2 years ago
I'm leaning towards A and D. Workspace level storage and standalone dimensions. Gotta love those data models!
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Laticia
2 years ago
Definitely, it's all about making the data model as efficient and user-friendly as possible.
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Staci
2 years ago
I agree, having standalone dimensions can make it easier to analyze and manipulate the data.
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Raymon
2 years ago
Yeah, it definitely simplifies things when the dimensions are independent like that.
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Izetta
2 years ago
I think A and D are correct too. Makes sense for workspace level storage and standalone dimensions.
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Richelle
2 years ago
I see your point, but I still think A and D make more sense.
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Catrice
2 years ago
Ha! Overarching dimensions? Sounds like a superhero power. I'll go with B and C.
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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.
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Dick
2 years ago
Exactly, they are at the workspace level and have a Many-to-Many relationship with the main entity.
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Eloisa
2 years ago
So, they are more like overarching dimensions that apply to all data sets.
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Jordan
2 years ago
Yes, that's right. They are not tied to a specific entity.
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Joni
2 years ago
I think B and D are correct. Variable Dimensions are standalone dimensions that describe the data set.
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Sheldon
2 years ago
I disagree, I believe it's B and C.
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Richelle
2 years ago
I think the correct statements are A and D.
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