Salesforce Exam ANC-301 Topic 5 Question 27 Discussion

Actual exam question for Salesforce's ANC-301 exam

Question #: 27
Topic #: 5

After the initial creation of a story, the first story insight explains 93% of the variation of the outcome variable. This is unusual high?

What is the most likely multiple for this?

AThe dataset contains multiple dominant values.

BThe dataset contains too many rows.

CThe dataset used in the story suffers from too many outlier values.

DThe outcome variable is causing data leakage.

Show Suggested Answer

Suggested Answer: A

by Tarra at Mar 10, 2024, 03:18 PM

Limited Time Offer

25%

Off

Get Premium ANC-301 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Ashlee

6 months ago

Too many rows? That's like having too much chocolate cake - it's a good problem to have, but you've gotta pace yourself, you know?

upvoted 0 times

...

Melina

6 months ago

Wait, data leakage? That's like the Bermuda Triangle of data science - you never know what's going to happen. I hope they had a good data hygiene regime in place.

upvoted 0 times

...

Jess

6 months ago

I bet the dataset has some nasty skewness issues. Gotta watch out for those outliers, they can really mess up your models.

upvoted 0 times

Rosann

6 months ago

Yeah, outliers can definitely throw things off. Skewness can be a real problem too.

upvoted 0 times

...

Shelia

6 months ago

C) The dataset used in the story suffers from too many outlier values.

upvoted 0 times

...

Stephanie

6 months ago

A) The dataset contains multiple dominant values.

upvoted 0 times

...

Nakisha

6 months ago

A) The dataset contains multiple dominant values.

upvoted 0 times

...

Cecily

6 months ago

C) The dataset used in the story suffers from too many outlier values.

upvoted 0 times

...

Devora

6 months ago

C) The dataset used in the story suffers from too many outlier values.

upvoted 0 times

...

Halina

6 months ago

A) The dataset contains multiple dominant values.

upvoted 0 times

...

Felicidad

7 months ago

I think it's possible that the outcome variable is causing data leakage.

upvoted 0 times

...

Remedios

7 months ago

It could be because the dataset contains too many outlier values.

upvoted 0 times

...

Karl

7 months ago

Hmm, this seems like a case of data overfitting. The outcome variable is probably too tightly coupled with the predictors. Did they try cross-validation?

upvoted 0 times