Latest Aug-2026 A00-240 Dumps PDF And Certification Training [Q48-Q70]

admin A00-240 SASInstitute August 2, 2026

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Latest Aug-2026 A00-240 Dumps PDF And Certification Training

Check your preparation for SASInstitute A00-240 On-Demand Exam

SASInstitute A00-240 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Measure and Evaluate Model Performance	25%	– Determine optimal decision cut-off values – Create and interpret ROC, lift, and gains charts – Apply honest assessment principles – Use confusion matrices and classification metrics – Validate models with training/validation data
Topic 2: Linear Regression	20%	– Interpret REG, GLM, and PLM procedure output – Fit multiple linear regression models – Conduct residual and diagnostic analysis – Perform model selection with GLMSELECT
Topic 3: Prepare Inputs for Predictive Modeling	20%	– Screen variables with CORR procedure and empirical logit plots – Manipulate data using DATA step – Identify data preparation challenges – Transform categorical variables
Topic 4: Analysis of Variance (ANOVA)	10%	– Use PROC GLM for ANOVA – Assess ANOVA assumptions – Perform post-hoc tests – Analyze factor interactions
Topic 5: Logistic Regression	25%	– Select and optimize input variables – Score new datasets with LOGISTIC and PLM – Interpret odds ratios and model coefficients – Build models using PROC LOGISTIC

NO.48 A researcher has several variables that could be possible predictors for the final model. There is interest in checking all 2-way interactions for possible entry to the model. The researcher has decided to use forward selection within PROC LOGISTIC. Fill in the missing code option that will ensure that all 2-way interactions will be considered for entry.

start = 5

include = 4

include = 5

start = 4

NO.49 What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data?

It violates assumptions of the model.

It requires extra computational effort and time.

It omits the training (and test) data sets from the benefits of the cleansing methods.

There is no ability to compare the effectiveness of different cleansing methods.

NO.50 The question will ask you to provide a missing statement. Given the following SAS program:

Which SAS statement will complete the program to correctly score the data set NEW_DATA?

Score data data=MYDIR.NEW_DATA out=scores;

Score data data=MYDIR.NEW_DATA output=scores;

Score data=HYDIR.NEU_DATA output=scores;

Score data=MYDIR, NEW DATA out=scores;

NO.51 Spearman statistics in the CORR procedure are useful for screening for irrelevant variables by
investigating the association between which function of the input variables?

Concordant and discordant pairs of ranked observations

Logit link (log (p/1-p))

Rank-ordered values of the variables

Weighted sum of chi-square statistics for 2×2 tables

NO.52 What is the default method in the LOGISTIC procedure to handle observations with missing data?

Missing values are imputed.

Parameters are estimated accounting for the missing values.

Parameter estimates are made on all available data.

Only cases with variables that are fully populated are used.

NO.53 Refer to the exhibit:

SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.
Based on the AIC statistic, which model is the champion model?

Age Weight RunTime RunPulse MaxPulse

Age Weight RunTime RunPulse RestPulse MaxPulse

RestPulse

RunTime

NO.54 Which SAS program will divide the original data set into 60% training and 40% validation data sets,
stratified by county?

Option A

Option B

Option C

Option D

NO.55 This question will ask you to provide a missing option. Given the following SAS program:

What option must be added to the program to obtain a data set containing Pearson statistics?

OUTPUT=estimates

OUTP=estimates

OUTSTAT=estimates

OUTCORR=estimates

NO.56 Which of the following describes a concordant pair of observations in the LOGISTIC procedure?

An observation with the event has an equal probability as another observation with the event.

An observation with the event has a lower predicted probability than the observation without the event.

An observation with the event has an equal predicted probability as the observation without the event.

An observation with the event has a higher predicted probability than the observation without the event

NO.57 Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers
into groups defined by the company’s pre-assigned market segments and tested for difference in the
customers’ average intent to purchase. The following is the output from the GLM procedure:

What percentage of customers’ intent to purchase is explained by market segment?
Click the calculator button to display a calculator if needed.

<0.01%

35%

65%

76%

NO.58 Refer to the exhibit:

Based upon the comparative ROC plot for two competing models, which is the champion model and why?

Candidate 1, because the area outside the curve is greater

Candidate 2, because the area under the curve is greater

Candidate 1, because it is closer to the diagonal reference curve

Candidate 2, because it shows less over fit than Candidate 1

Explanation

NO.59 A researcher has several variables that could be possible predictors for the final model. There is interest in checking all 2-way interactions for possible entry to the model. The researcher has decided to use forward selection within PROC LOGISTIC. Fill in the missing code option that will ensure that all 2-way interactions will be considered for entry.

start = 5

include = 4

include = 5

start = 4

NO.60 This question will ask you to provide a missing option.
Given the following SAS program:

What option must be added to the program to obtain a data set containing Spearman statistics?
OUTCORR=estimates

OUTS=estimates

OUT=estimates

OUTPUT=estimates

Explanation/Reference:

NO.61 The SAS data set RESULT contains the following variables:
* Region (GrpA or GrpB)
* Sales (dollars per year)
Which SAS programs can be used to find the p-value for comparing GrpA sales with GrpB sales? (Choose two.)

Option A

Option B

Option C

Option D

NO.62 Given the following LOGISTIC procedure:

What is the difference between the datasets OUTFILEJ and OUTFILE_2?

OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.

OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities

OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.

OUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.

NO.63 Refer to the exhibit: The plots represent two models, A and B, being fit to the same two data sets, training and validation.

Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?

Model A, It is more complex with a higher accuracy than model B on training data.

Model A, It performs better on the boundary for the training data.

Model B, It is more complex with a higher accuracy than model A on validation data.

Model B, It is simpler with a higher accuracy than model A on validation data.

NO.64 The question will ask you to provide a missing statement. Given the following SAS program:

Which SAS statement will complete the program to correctly score the data set NEW_DATA?

Score data data=MYDIR.NEW_DATA out=scores;

Score data data=MYDIR.NEW_DATA output=scores;

Score data=HYDIR.NEU_DATA output=scores;

Score data=MYDIR, NEW DATA out=scores;

NO.65 Refer to the exhibit:

Based upon the comparative ROC plot for two competing models, which is the champion model and why?

Candidate 1, because the area outside the curve is greater

Candidate 2, because the area under the curve is greater

Candidate 1, because it is closer to the diagonal reference curve

Candidate 2, because it shows less over fit than Candidate 1

NO.66 The question will ask you to provide a missing statement. Given the following SAS program:

Which SAS statement will complete the program to correctly score the data set NEW_DATA?

Scoredata data=MYDIR.NEW_DATA out=scores;

Scoredata data=MYDIR.NEW_DATA output=scores;

Scoredata=HYDIR.NEU_DATA output=scores;

Scoredata=MYDIR,NEW DATA out=scores;

NO.67 Refer to the following odds ratio table:

What is a correct interpretation of the estimate?

The odds of the event are 1.142 greater for each one dollar increase in salary.

The odds of the event are 1.142 greater for each one thousand dollar increase in salary.

The probability of the event is 1.142 greater for each one dollar increase in salary.

The probability of the event is 1.142 greater for each one thousand dollar increase in salary.

NO.68 A marketing manager attempts to determine those customers most likely to purchase additional products as the result of a nation-wide marketing campaign.
The manager possesses a historical dataset (CAMPAIGN) of a similar campaign from last year.
It has the following characteristics:
-Target variable Respond (0,1) -Continuous predictor Income -Categorical predictor Homeowner(Y,N)
Which SAS program performs this analysis?