Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

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

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?
B) A cogrouop or union statement
A) A fill statement
C) A union statement
D) A cogroup statement

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?

Show Suggested Answer Hide Answer
Suggested Answer: B

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

Limited Time Offer

25%

Off

Get Premium Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Alishia
6 months ago
A union statement might not give you the full picture, though.
upvoted 0 times
...
Deonna
6 months ago
Wait, can you really use a fill statement here? Sounds off.
upvoted 0 times
...
An
7 months ago
Cogroup is the way to go, no doubt!
upvoted 0 times
...
Chauncey
7 months ago
I think a union statement would work too.
upvoted 0 times
...
Carmela
7 months ago
You can definitely use a cogroup statement for this!
upvoted 0 times
...
Irene
7 months ago
If I remember correctly, a cogroup statement allows us to group the data by AccountId, which seems necessary here.
upvoted 0 times
...
Miesha
8 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.
upvoted 0 times
...
Lorean
8 months ago
I remember practicing with union statements, but I feel like a cogroup might be more appropriate for this scenario.
upvoted 0 times
...
Denny
8 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.
upvoted 0 times
...
Jules
8 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.
upvoted 0 times
...
Phillip
8 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.
upvoted 0 times
...
Chauncey
8 months ago
A FILL statement could work too, right? That might be a good way to handle any missing data between the two datasets.
upvoted 0 times
...
Rene
8 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.
upvoted 0 times
...
Harrison
8 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.
upvoted 0 times
...
Frederick
8 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.
upvoted 0 times
...
Cordell
8 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.
upvoted 0 times
...
Arletta
8 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.
upvoted 0 times
...
Ashanti
2 years ago
I think both options could work, it just depends on how the consultant wants to structure the query.
upvoted 0 times
...
Gearldine
2 years ago
But with a cogroup statement, the consultant can combine the datasets based on the AccountId.
upvoted 0 times
...
Penney
2 years ago
I disagree, I believe a union statement would be more appropriate for this scenario.
upvoted 0 times
...
Gearldine
2 years ago
I think the consultant can use a cogroup statement to create the query.
upvoted 0 times
...
Herminia
2 years ago
I think a cogroup statement might be a better choice to combine the datasets.
upvoted 0 times
...
Sharika
2 years ago
I believe a union statement could also work to show opportunities and cases per account.
upvoted 0 times
...
Alline
2 years ago
I agree with Elvera, a cogroup or union statement would be the best option.
upvoted 0 times
...
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!
upvoted 0 times
Dyan
2 years ago
Yeah, a cogroup could work too, but I agree that a union statement is probably the way to go.
upvoted 0 times
...
Venita
2 years ago
I think a union statement would be the best option here.
upvoted 0 times
...
...
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.
upvoted 0 times
Peggy
2 years ago
It really depends on the specific requirements of the query.
upvoted 0 times
...
Alica
2 years ago
I would go with D, a cogroup statement seems like the way to go.
upvoted 0 times
...
Lorrine
2 years ago
I agree, a union statement would be the most appropriate choice.
upvoted 0 times
...
Tatum
2 years ago
I think C is the best option here.
upvoted 0 times
...
...
Elvera
2 years ago
I think the consultant can use a cogroup or union statement.
upvoted 0 times
...
Raylene
2 years ago
I'm going with B. A cogroup or union statement seems like the most logical approach to handle this requirement.
upvoted 0 times
...
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.
upvoted 0 times
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.
upvoted 0 times
...
Jaclyn
2 years ago
I think option D) A cogroup statement is the best choice for this scenario.
upvoted 0 times
...
...
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.
upvoted 0 times
Elise
2 years ago
I believe a cogroup or union statement would be the most efficient way to create the query.
upvoted 0 times
...
Casey
2 years ago
I think a cogroup statement could also work to bring together the opportunities and cases per account.
upvoted 0 times
...
Solange
2 years ago
I agree, a union statement would be the best option to combine the datasets.
upvoted 0 times
...
...

Save Cancel