Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
Certification Provider: SASInstitute
Corresponding Certification: SAS Institute Systems Certification
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SASInstitute A00-240 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS Statistical Business Analysis Using SAS 9: Regression and Modeling |
| Exam Number: | A00-240 |
| Certificate Validity Period: | No expiration specified by SAS |
| Passing Score: | 68% |
| Exam Format: | Multiple Choice, Short Answer |
| Real Exam Qty: | 60 scored questions (+ up to 5 unscored questions) |
| Exam Duration: | 110 minutes |
| Related Certifications: | SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling |
| Available Languages: | English |
| Exam Price: | USD 180 |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Pearson VUE testing centers and SAS-authorized online exam delivery where available. |
| Pre Condition: | No formal prerequisite exam is required. Candidates should have experience using SAS/STAT software for statistical analysis, regression modeling and predictive analytics. |
| Official Syllabus URL: | https://www.sas.com/en_gb/certification/credentials/advanced-analytics/statistical-business-analyst.html |
SASInstitute A00-240 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: ANOVA | 10% | - ANOVA Analysis
|
| Topic 2: Measure Model Performance | 25% | - Decision Optimization
|
| Topic 3: Prepare Inputs for Predictive Model Performance | 20% | - Variable Engineering and Screening
|
| Topic 4: Linear Regression | 20% | - Model Selection and Diagnostics
|
| Topic 5: Logistic Regression | 25% | - Develop Logistic Models
|
SASInstitute A00-240 Exam Questions Answered
The A00-240 exam leads to the SAS Institute Systems Certification certification from SAS Institute. It is positioned at the Professional level. The exam validates the knowledge and skills expected of candidates preparing for SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential.
Related certifications include:
- SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling
The A00-240 exam includes 60 scored questions (+ up to 5 unscored questions) questions and allows 110 minutes. Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.
The passing score for A00-240 is 68%, and the official exam fee is USD 180. Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.
No formal prerequisite exam is required. Candidates should have experience using SAS/STAT software for statistical analysis, regression modeling and predictive analytics.
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
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The current A00-240 outline is organized into 5 top-level domains. The first listed areas include:
- Measure Model Performance (25%)
- Linear Regression (20%)
- Logistic Regression (25%)
Review the Exam Topics section above for the complete outline and any nested subtopics.
SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions:
Question 1
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?
A. It allows for the determination of the effectiveness of the cleansing method.
B. It is computationally easier and requires less time.
C. It makes inference on the model possible.
D. It omits the training (and test) data sets from the benefits of the cleansing methods.
Question 2
A researcher is planning a logistic regression to model the probability of disease occurrence. The researcher determines the rate of disease occurrence in the population is 1%.
For which of the following would this study be a candidate?
A. oversampling
B. simple random sample
C. over fitting
D. multicollinearity
Question 3
The selection criterion used in the forward selection method in the REG procedure is:
A. SLE
B. Mallows' Cp
C. AIC
D. Adjusted R-Square
Question 4
Spearman statistics in the CORR procedure are useful for screening for irrelevant variables by investigating the association between which function of the input variables?
A. Concordant and discordant pairs of ranked observations
B. Logit link (log (p/1-p))
C. Rank-ordered values of the variables
D. Weighted sum of chi-square statistics for 2x2 tables
Question 5
Identify the correct SAS program for fitting a multiple linear regression model with dependent variable (y) and four predictor variables (x1-x4).
A. Option B
B. Option C
C. Option A
D. Option D
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: A |
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