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Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) Exam - Topic 4 Question 5 Discussion

Actual exam question for Salesforce's Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) exam
Question #: 5
Topic #: 4
[All Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) Questions]

A consultant is tasked with creating one query that shows how many opportunities and cases there are per account.

Cases and opportunities are found in two different datasets with a reference to the related Account via the AccoundId.

What options do the consultant have in Analytics Studio to create the query?

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Suggested Answer: B

by Milly at Aug 09, 2024, 01:24 AM

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Alishia
4 months ago
A union statement might not give you the full picture, though.
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Deonna
4 months ago
Wait, can you really use a fill statement here? Sounds off.
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An
4 months ago
Cogroup is the way to go, no doubt!
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Chauncey
4 months ago
I think a union statement would work too.
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Carmela
4 months ago
You can definitely use a cogroup statement for this!
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Irene
5 months ago
If I remember correctly, a cogroup statement allows us to group the data by AccountId, which seems necessary here.
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Miesha
5 months ago
I’m a bit confused about the difference between cogroup and union. I think we might have done a similar question in class, but I can't recall the details.
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Lorean
5 months ago
I remember practicing with union statements, but I feel like a cogroup might be more appropriate for this scenario.
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Denny
5 months ago
I think we might need to use a cogroup statement since we're combining data from two different datasets, but I'm not entirely sure.
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Jules
5 months ago
The key is going to be finding the right way to join the two datasets based on the AccountId field. Once I've got that down, I think I can put together a query that gives me the counts per account pretty easily.
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Phillip
5 months ago
I'm a little confused on the difference between COGROUP and UNION here. I'll need to review the documentation to make sure I understand which one is more appropriate for this scenario.
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Chauncey
5 months ago
A FILL statement could work too, right? That might be a good way to handle any missing data between the two datasets.
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Rene
5 months ago
Hmm, I'm not sure if a UNION is the best approach here. Since the cases and opportunities are in separate datasets, I might try a COGROUP statement instead to bring them together.
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Harrison
5 months ago
This looks like a pretty straightforward question. I'd probably start by trying a UNION statement to combine the two datasets and get the counts per account.
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Frederick
5 months ago
Hmm, I'm a bit unsure about this one. I know the advertising process involves several key steps, but I'm not totally confident I can recall the exact order. Let me think this through carefully.
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Cordell
6 months ago
Isn't tunnel pivot related to routing? I wonder if it could be a valid option too, but I feel unsure about it.
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Arletta
6 months ago
I remember studying about CloudTrail and its features, but I'm not entirely sure about the differences between option C and D regarding file integrity.
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Ashanti
1 year ago
I think both options could work, it just depends on how the consultant wants to structure the query.
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Gearldine
2 years ago
But with a cogroup statement, the consultant can combine the datasets based on the AccountId.
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Penney
2 years ago
I disagree, I believe a union statement would be more appropriate for this scenario.
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Gearldine
2 years ago
I think the consultant can use a cogroup statement to create the query.
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Herminia
2 years ago
I think a cogroup statement might be a better choice to combine the datasets.
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Sharika
2 years ago
I believe a union statement could also work to show opportunities and cases per account.
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Alline
2 years ago
I agree with Elvera, a cogroup or union statement would be the best option.
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Ammie
2 years ago
As a consultant, I'd probably use a union statement. It's a classic 'how many X and Y per Z' kind of query, and union seems like the way to go. Although, a cogroup could work too. Decisions, decisions!
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Dyan
2 years ago
Yeah, a cogroup could work too, but I agree that a union statement is probably the way to go.
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Venita
2 years ago
I think a union statement would be the best option here.
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Tula
2 years ago
Hmm, this is a tough one. I'm leaning towards C, but I could also see D being a valid option. I guess it depends on the specific requirements of the consultant.
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Peggy
1 year ago
It really depends on the specific requirements of the query.
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Alica
1 year ago
I would go with D, a cogroup statement seems like the way to go.
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Lorrine
1 year ago
I agree, a union statement would be the most appropriate choice.
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Tatum
2 years ago
I think C is the best option here.
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Elvera
2 years ago
I think the consultant can use a cogroup or union statement.
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Raylene
2 years ago
I'm going with B. A cogroup or union statement seems like the most logical approach to handle this requirement.
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Hailey
2 years ago
D. A cogroup statement seems like the right choice here, as it would allow the consultant to group the data by AccountId and then work with the opportunities and cases separately.
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Margart
2 years ago
Yes, I agree. With a cogroup statement, the consultant can easily group the data by AccountId and analyze opportunities and cases separately.
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Jaclyn
2 years ago
I think option D) A cogroup statement is the best choice for this scenario.
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Glenn
2 years ago
I think the answer is C. A union statement would allow the consultant to combine the two datasets and get the required information.
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Elise
2 years ago
I believe a cogroup or union statement would be the most efficient way to create the query.
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Casey
2 years ago
I think a cogroup statement could also work to bring together the opportunities and cases per account.
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Solange
2 years ago
I agree, a union statement would be the best option to combine the datasets.
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