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SAS A00-240 Exam - Topic 10 Question 77 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 77
Topic #: 10
[All A00-240 Questions]

Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?

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Suggested Answer: C

by Rolland at Nov 26, 2023, 03:33 PM

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Onita
3 months ago
Not sure about that, I thought it was 70/30 for training.
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Lashawnda
3 months ago
Totally agree with Bernardo, B is the way to go!
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Vicky
4 months ago
Wait, is it really 60/40? That seems off.
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Renea
4 months ago
I think Option A is better for this.
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Bernardo
4 months ago
Option B looks like the right choice for stratified sampling.
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Louisa
4 months ago
I feel like Option C had the right syntax for creating training and validation sets, but I can't recall the exact details.
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Luisa
4 months ago
I’m a bit confused about the percentages. Did we cover how to specify both training and validation sets in one step?
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Cheryl
5 months ago
I think Option B looks familiar; it might be the one that uses the STRATA statement for stratified sampling.
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Ceola
5 months ago
I remember we practiced a question about splitting data sets, but I’m not sure if it was specifically about stratification by county.
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Alica
5 months ago
Okay, I think I've got a good plan for this. I'll use PROC SURVEYSELECT with the STRATA statement to handle the county stratification, and then set the SAMPRATE= option to 0.6 to get the 60% training set. The remaining 40% will be the validation set. Feels like a solid approach.
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Daren
5 months ago
This seems straightforward enough. I'll just use the PROC SURVEYSELECT statement with the OUT= option to create the training and validation data sets, and then include the STRATA statement to split it up by county. Shouldn't be too hard to get the 60/40 split.
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Lezlie
5 months ago
I'm a bit confused on how to handle the stratification part. Do I need to do some kind of grouping or sorting by county first before running the PROC SURVEYSELECT? I want to make sure I get the split right.
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Meaghan
5 months ago
Okay, I think I've got a strategy for this. I'll use the PROC SURVEYSELECT statement to randomly select 60% of the observations for the training set, and then use the remaining 40% for the validation set. And I'll make sure to include the STRATA statement to split it up by county.
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Glenna
5 months ago
Hmm, this looks like a tricky one. I'll need to think through the SAS code carefully to make sure I get the 60/40 split right and account for the stratification by county.
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Nana
5 months ago
Hmm, I'm not too familiar with the Splunk btool commands. I'll have to think this through carefully.
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Laticia
5 months ago
This question seems straightforward - I think the Bulk API would be the best solution to align the Salesforce and finance system data.
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Pauline
5 months ago
Okay, I think I've got this. The key is to identify the one option that is not a valid reason for the error. I'll eliminate the options that make sense and select the one that doesn't fit.
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Annelle
5 months ago
I remember practicing questions about collusion in bidding, but the terminology can get confusing. Was "fictitious bidding" related to that?
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Roslyn
10 months ago
I'm just hoping the answer isn't 'All of the Above' or 'None of the Above'. That would be too much of a plot twist, even for a SAS exam!
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Samira
9 months ago
C) Option C
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Beckie
9 months ago
B) Option B
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Dulce
9 months ago
A) Option A
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Lynelle
10 months ago
Ah, the joys of SAS programming! I bet the person who wrote this question is cackling with glee at our struggles. Time to channel my inner SAS wizard.
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Adell
9 months ago
I believe it's Option A.
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Kallie
9 months ago
I'm leaning towards Option B.
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Arlette
9 months ago
C) Option C
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Rashad
9 months ago
I think it's B) Option B
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Sabra
10 months ago
I think the answer is Option C.
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Lashandra
10 months ago
A) Option A
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Allene
10 months ago
Option D? Really? I'm already picturing the disappointed look on the examiner's face if I choose that one. Back to the drawing board!
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Meaghan
8 months ago
Let's reconsider our options, maybe Option D isn't the best choice after all.
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Iluminada
9 months ago
I'm not sure about Option C, it might not be the best fit.
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Ricki
10 months ago
I'm leaning towards Option B, it seems like a good choice.
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Leoma
10 months ago
I think Option A is the way to go.
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Alpha
11 months ago
Hmm, I think Option C looks promising. Stratifying by county seems like the way to go. Time to dive into the code examples!
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Vernice
9 months ago
User 2: Yeah, I think so too. Let's check out some code examples to see how it's done.
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Julianna
10 months ago
User 1: I agree, Option C seems like the best choice for this task.
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Cherry
10 months ago
User 2: Yeah, I think so too. Let's check out some code examples to see how it's done.
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Dion
10 months ago
User 1: I agree, Option C seems like the best choice for this task.
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Skye
11 months ago
This is a tricky one! I'm not sure if Option A or B is the right answer. Maybe I should review the SAS documentation on data partitioning.
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Alyssa
9 months ago
I'm not sure, maybe we should review the SAS documentation.
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Tasia
10 months ago
I'm leaning towards Option A as well.
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Chau
10 months ago
I believe Option B is the right choice.
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Tegan
10 months ago
I think Option A is the correct answer.
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Jacinta
11 months ago
I'm not sure, but I think Option D could also work for dividing the data set.
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Demetra
11 months ago
I agree with Louis, Option C makes sense for stratified sampling.
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Louis
11 months ago
I think the answer is Option C.
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