New Year Sale 2026! 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

Workday Prism Analytics Exam - Topic 3 Question 3 Discussion

Actual exam question for Workday's Workday Prism Analytics exam
Question #: 3
Topic #: 3
[All Workday Prism Analytics Questions]

[Data Prep and Transformation]

When joining datasets, what items must match?

Show Suggested Answer Hide Answer
Suggested Answer: A

by Yuki at Jun 13, 2025, 07:11 PM

Limited Time Offer

25%

Off

Get Premium Workday Prism Analytics Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Wilda
2 months ago
Not sure about that, can you really join without matching detail levels?
upvoted 0 times
...
Kris
2 months ago
Totally agree, matching field types is crucial!
upvoted 0 times
...
Catarina
2 months ago
I think it's more about the field names, right?
upvoted 0 times
...
Latricia
3 months ago
Wait, does the number of rows even matter?
upvoted 0 times
...
Tamala
3 months ago
Field types definitely need to match!
upvoted 0 times
...
Garry
3 months ago
I definitely remember that the field types must match, but I’m unsure if the number of rows matters in this context.
upvoted 0 times
...
Rikki
3 months ago
I feel like the level of detail in each dataset could also play a role, but I’m not confident about that.
upvoted 0 times
...
Katina
4 months ago
I remember practicing a question where it was important for the field names to match, but I can't recall if that was the main focus here.
upvoted 0 times
...
An
4 months ago
I think the field types for the Match Row fields need to match, but I'm not entirely sure if that's the only requirement.
upvoted 0 times
...
Krissy
4 months ago
Okay, I've got a strategy for this. The question is asking specifically about what "must match" when joining datasets, so the field types seem like the most relevant factor. I'll go with option A.
upvoted 0 times
...
Rikki
4 months ago
Wait, is it the level of detail in each dataset? I feel like that could also be important when joining data. I'm a little confused on the best way to approach this question.
upvoted 0 times
...
Mirta
4 months ago
The field names for the Match Row fields need to match, right? That seems like the most logical answer to me. I'm pretty confident that's the right approach.
upvoted 0 times
...
Estrella
5 months ago
Hmm, I'm a bit unsure on this one. I know joining datasets is important, but I can't quite remember all the specific requirements. I'll have to think this through carefully.
upvoted 0 times
...
Miesha
5 months ago
I think the key here is that the field types need to match between the datasets being joined. The question is specifically asking about what "must match" when joining, so I'll go with option A.
upvoted 0 times
...
Melita
7 months ago
D sounds right to me. The field names need to be the same, or else how would the system know what to match?
upvoted 0 times
Sylvie
6 months ago
Yes, that's correct. The field names are crucial for matching datasets.
upvoted 0 times
...
Allene
6 months ago
I agree, the field names need to match for the system to know what to join on.
upvoted 0 times
...
...
Myra
7 months ago
Haha, imagine if the number of rows had to match. That would be like trying to fit a square peg in a round hole!
upvoted 0 times
Reuben
7 months ago
D) The field names for the Match Row fields.
upvoted 0 times
...
Cammy
7 months ago
A) The field types for the Match Row fields.
upvoted 0 times
...
...
Jackie
8 months ago
I think it's C. The level of detail in each dataset needs to be the same, otherwise you'll end up with a mess.
upvoted 0 times
Tamala
7 months ago
C) The level of detail in each dataset.
upvoted 0 times
...
Pura
7 months ago
B) The number of rows in each dataset.
upvoted 0 times
...
Douglass
7 months ago
A) The field types for the Match Row fields.
upvoted 0 times
...
...
Brock
8 months ago
The field types for the Match Row fields have to match, duh. How else would you join the data properly?
upvoted 0 times
Louvenia
7 months ago
Exactly, matching field types is crucial for a successful data join.
upvoted 0 times
...
Sabina
7 months ago
D) The field names for the Match Row fields.
upvoted 0 times
...
Shawn
7 months ago
D) The field names for the Match Row fields.
upvoted 0 times
...
Gracia
7 months ago
A) The field types for the Match Row fields.
upvoted 0 times
...
Freeman
8 months ago
A) The field types for the Match Row fields.
upvoted 0 times
...
...
Tasia
8 months ago
I believe the field types for the Match Row fields must also match for successful dataset joining.
upvoted 0 times
...
Avery
8 months ago
I agree with Blondell, the field names need to match for joining datasets.
upvoted 0 times
...
Blondell
8 months ago
I think the field names for the Match Row fields must match.
upvoted 0 times
...

Save Cancel