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Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) Exam - Topic 2 Question 10 Discussion

Actual exam question for Salesforce's Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) exam
Question #: 10
Topic #: 2
[All Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) Questions]

A CRM Analytics consultant at Cloud Kicks is trying to upload data using an External Data API and the CSV file with the data was uploaded successfully. Upon analyzing the data using a lens, they find

they are unable to perform any mathematical operations as all the data and fields are treated as dimensions.

What is causing the problem?

Show Suggested Answer Hide Answer
Suggested Answer: A

by Shaunna at Sep 15, 2024, 02:03 PM

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Brianne
5 months ago
Agreed, the transformations are key here!
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Lashaunda
5 months ago
Wait, are we sure it's not just a simple formatting issue?
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Kip
5 months ago
Definitely need those transformations before the API call.
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Charlena
5 months ago
I think it's the double quotes around the values.
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Pearline
6 months ago
Sounds like they forgot the JSON metadata file!
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Francoise
6 months ago
I feel like I’ve seen this before, but I can’t recall if the JSON file is mandatory. It’s a bit confusing!
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Stephania
6 months ago
I practiced a similar question where transformations at the source were crucial. Maybe that’s what’s needed here too?
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German
6 months ago
I’m not entirely sure, but I think if the values in the CSV are in double quotes, it could cause them to be treated as strings instead of numbers.
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Noel
6 months ago
I remember something about needing a JSON metadata file for the data types to be recognized correctly. That might be the issue here.
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Rosendo
6 months ago
Ah, I think I've got it! The problem is likely that the JSON metadata file wasn't uploaded along with the CSV data file. That would explain why the data is being treated as dimensions instead of measures. Option A seems like the most likely culprit here.
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Hailey
6 months ago
I'm a bit confused on this one. The fact that the data is being treated as dimensions makes me think there might be an issue with the data format or metadata. I'll need to review the options more closely and see if I can spot the root cause.
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Laurene
6 months ago
Okay, let's see here. The question mentions that the data is being treated as dimensions, so that's a clear sign that something is off with the data format. I'm leaning towards option C, but I'll double-check the other choices just to be sure.
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Nydia
7 months ago
Hmm, this seems like a tricky one. I'll need to carefully review the options and think through the potential causes.
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Daren
7 months ago
Hmm, I'm a bit unsure about the exact purpose of the Scrum of Scrums meeting. I'll need to think this through carefully.
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Vonda
2 years ago
Ah, the joys of working with external data. Clearly, the consultant needs to brush up on their data integration skills before trying to crunch any numbers.
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Therese
1 year ago
C) Proper transformations need to be performed at the external source prior to External Data API callout.
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Elza
1 year ago
C) Proper transformations need to be performed at the external source prior to External Data API callout.
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Kattie
1 year ago
B) The field value added in the CSV file was contained within double quotes.
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Augustine
1 year ago
A) JSON metadata file was not uploaded along with the CSV data file.
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Tarra
1 year ago
B) The field value added in the CSV file was contained within double quotes.
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Rene
1 year ago
A) JSON metadata file was not uploaded along with the CSV data file.
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Pearlie
2 years ago
Haha, this reminds me of that time I tried to do math with my cat's paw prints. No wonder the system couldn't understand them!
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Hana
1 year ago
C) Proper transformations need to be performed at the external source prior to External Data API callout.
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Vincenza
1 year ago
B) The field value added in the CSV file was contained within double quotes.
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Vanda
1 year ago
A) JSON metadata file was not uploaded along with the CSV data file.
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Junita
2 years ago
Maybe the issue is with the transformations needed at the external source before calling the API.
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Rory
2 years ago
I think the correct answer is C. The data needs to be properly transformed at the source before using the External Data API. That's the only way to ensure the fields are treated as the right data types.
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Christiane
1 year ago
A: Oh, I see. That makes sense. Thanks for clarifying!
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Celia
1 year ago
C: Actually, I think the correct answer is C. Proper transformations are needed at the external source.
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Wilbert
2 years ago
B: No, I believe the problem lies in the field values being in double quotes.
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Juliana
2 years ago
A: I think the issue is with the JSON metadata file not being uploaded.
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Leanna
2 years ago
I agree with Tammara. Without the metadata file, the system won't recognize the data types.
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Denny
2 years ago
Hmm, I guess the double quotes in the field value could be causing the problem. Shouldn't they have used proper formatting in the CSV file?
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Alpha
2 years ago
The issue is clearly due to the lack of a JSON metadata file. How can they expect the system to understand the data types without any metadata?
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Chaya
2 years ago
A: Good idea, let's try that and see if we can perform the necessary mathematical operations.
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Becky
2 years ago
C: Maybe they should upload the JSON file and see if that resolves the issue.
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Bernadine
2 years ago
B: That makes sense, without the metadata, the system wouldn't know how to interpret the data types.
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Sabra
2 years ago
A: The JSON metadata file was not uploaded along with the CSV data file.
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Tammara
2 years ago
I think the problem is with the JSON metadata file not being uploaded.
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