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

Salesforce AI Associate Exam - Topic 4 Question 27 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam
Question #: 27
Topic #: 4
[All Salesforce AI Associate Questions]

A data quality expert at Cloud Kicks want to ensure that each new contact contains at least an email address ...

Which feature should they use to accomplish this?

Show Suggested Answer Hide Answer
Suggested Answer: B

''A potential outcome of using poor-quality data in AI applications is that AI models may produce biased or erroneous results. Poor-quality data means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor-quality data can affect the performance and reliability of AI models, as they may not have enough or correct information to learn from or make accurate predictions. Poor-quality data can also introduce or exacerbate biases or errors in AI models, such as human bias, societal bias, confirmation bias, or overfitting or underfitting.''


Contribute your Thoughts:

0/2000 characters
Viki
4 months ago
Not sure if validation is enough... what if they just type gibberish?
upvoted 0 times
...
Hester
4 months ago
Wait, can you really enforce that with a validation rule?
upvoted 0 times
...
Lyndia
4 months ago
Validation rule is the way to go, no doubt about it.
upvoted 0 times
...
Gwen
5 months ago
I think autofill could work too, right?
upvoted 0 times
...
Lavonda
5 months ago
Definitely a validation rule!
upvoted 0 times
...
Francine
5 months ago
I vaguely recall a practice question where we had to ensure certain fields were mandatory. I think validation rules were the answer there too.
upvoted 0 times
...
Daniela
5 months ago
I feel like duplicate matching rules are more about finding existing contacts, not really about ensuring new ones have emails.
upvoted 0 times
...
Precious
5 months ago
I'm not entirely sure, but I remember something about autofill not really enforcing data quality. It might just help with suggestions.
upvoted 0 times
...
Rossana
6 months ago
I think we talked about validation rules in class. They seem like the right choice for ensuring required fields like email are filled.
upvoted 0 times
...
Frederica
6 months ago
Autofill could work, but a validation rule is probably the more robust solution to guarantee the email requirement.
upvoted 0 times
...
Shawn
6 months ago
Validation rule is the obvious choice here. Gotta make sure that email field is filled out before the record can be saved.
upvoted 0 times
...
Evette
6 months ago
I'm a little unsure here. Is a duplicate matching rule also an option? I'll have to think this through carefully.
upvoted 0 times
...
Adelina
6 months ago
Validation rule, for sure. That's the feature designed to enforce data quality requirements like this.
upvoted 0 times
...
Leonor
6 months ago
Hmm, this one seems straightforward. I think a validation rule would be the best way to ensure each new contact has an email address.
upvoted 0 times
...
Julieta
6 months ago
I'm a bit confused by this question. Does "utility services" refer to things like electricity, water, and gas? If so, then I could see how business analysis might be important. But I'm not totally sure. I'll have to review my notes and think it through.
upvoted 0 times
...
Alita
10 months ago
Validation rule? More like Validation COOL, am I right? Seriously though, that's definitely the way to go here.
upvoted 0 times
...
Brittani
10 months ago
I'm going with the Validation rule. Gotta keep those email addresses in check, you know? Don't want any blank fields slipping through!
upvoted 0 times
Susana
9 months ago
Duplicate matching rule is not the right feature for this. Validation rule is the way to go to maintain data quality.
upvoted 0 times
...
Wilda
9 months ago
Autofill won't help with ensuring email addresses are included. Validation rule is the most reliable choice here.
upvoted 0 times
...
Yasuko
9 months ago
I agree, we can't afford to have any missing email addresses. Validation rule is the best option for that.
upvoted 0 times
...
Junita
10 months ago
Validation rule is definitely the way to go. It will make sure every new contact has an email address.
upvoted 0 times
...
...
Adria
11 months ago
Validation rule all the way! Can't have any contacts without an email address. That's just basic data quality, am I right?
upvoted 0 times
Billye
9 months ago
Autofill and duplicate matching rule won't guarantee that every new contact has an email address. Validation rule is the most reliable choice.
upvoted 0 times
...
Izetta
9 months ago
I agree, without an email address, the contact information is incomplete. Validation rule is the best option for ensuring data quality.
upvoted 0 times
...
Sena
10 months ago
Validation rule is definitely the way to go. It's important to have that email address for each contact.
upvoted 0 times
...
...
Freeman
11 months ago
Hmm, I'm not sure. Autofill could work too, but that might not be the best approach. Validation rule sounds like the safest bet.
upvoted 0 times
...
Antonio
11 months ago
I'm not sure, but I think autofill could also help in ensuring each new contact has an email address.
upvoted 0 times
...
Vivan
11 months ago
I agree with Blythe, a validation rule would be the best feature to use for this.
upvoted 0 times
...
Tamera
12 months ago
Definitely the Validation rule! That's the way to go to ensure email addresses are mandatory.
upvoted 0 times
Wilford
10 months ago
Validation rule it is then, thanks for the input!
upvoted 0 times
...
Callie
10 months ago
I agree, Validation rule is the way to go for data quality.
upvoted 0 times
...
Royal
11 months ago
Yes, Validation rule is the best option for ensuring mandatory email addresses.
upvoted 0 times
...
Marleen
11 months ago
Validation rule
upvoted 0 times
...
...
Blythe
12 months ago
I think we should use a validation rule to ensure each new contact has an email address.
upvoted 0 times
...

Save Cancel