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

SAS A00-240 Exam - Topic 9 Question 55 Discussion

What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data?
D) It allows for the determination of the effectiveness of the cleansing method.
A) It makes inference on the model possible.
B) It is computationally easier and requires less time.
C) It omits the training (and test) data sets from the benefits of the cleansing methods.

SAS A00-240 Exam - Topic 9 Question 55 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 55
Topic #: 9
[All A00-240 Questions]

What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data?

Show Suggested Answer Hide Answer
Suggested Answer: D

Contribute your Thoughts:

0/2000 characters
Youlanda
9 months ago
Option D makes the most sense to me!
upvoted 0 times
...
Muriel
10 months ago
I think it’s just easier computationally, not sure about effectiveness.
upvoted 0 times
...
Gilberto
10 months ago
Wait, so cleansing before could mess up the test data?
upvoted 0 times
...
Gladys
10 months ago
Totally agree, it’s all about honest evaluation!
upvoted 0 times
...
Anabel
10 months ago
Cleansing after partitioning helps assess model performance better.
upvoted 0 times
...
Moira
11 months ago
I vaguely remember that performing cleansing before partitioning can skew results, so maybe option D is the right choice for assessing effectiveness.
upvoted 0 times
...
Earleen
11 months ago
I feel like option C could be a trap answer since it mentions omitting benefits, but I can't recall the exact reasoning behind it.
upvoted 0 times
...
Micah
11 months ago
I think option D sounds familiar because it relates to evaluating the cleansing methods' impact on model performance, but I might be mixing it up with another question we practiced.
upvoted 0 times
...
Burma
11 months ago
I remember discussing how data cleansing after partitioning helps to avoid data leakage, but I'm not entirely sure which option reflects that best.
upvoted 0 times
...
Melvin
11 months ago
I feel pretty confident about this one. Modeling and testing are all about identifying and mitigating technical risks, so Cyber security risk is the most likely answer here.
upvoted 0 times
...
Maryln
11 months ago
This seems straightforward. NSTISSP No. 11 is the policy that mandates NIACAP for classified systems, so I'll go with that.
upvoted 0 times
...
Shawnda
11 months ago
Ah, I know this one! The broker-dealer has to buy in the customer after 15 days, right?
upvoted 0 times
...
Terrilyn
12 months ago
Okay, I think I've got this. Negotiating with the key stakeholders to find a compromise seems like the best approach here. I'll also consider the other options, but that one stands out to me as the most appropriate solution.
upvoted 0 times
...
Francene
12 months ago
Okay, I think I've got this. The command should be "kubectl get events --field-selector involvedObject.name=api" to display the events for the specific deployment. Let me double-check that before answering.
upvoted 0 times
...

Save Cancel