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SAS Institute A00-240 Exam Topics, Blueprint and Syllabus

SAS Statistical Business Analysis SAS9: Regression and Model

Last Update September 18, 2024
Total Questions : 99

Our Statistical Business Analyst A00-240 exam questions and answers cover all the topics of the latest SAS Statistical Business Analysis SAS9: Regression and Model exam, See the topics listed below. We also provide SAS Institute A00-240 exam dumps with accurate exam content to help you prepare for the exam quickly and easily. Additionally, we offer a range of SAS Institute A00-240 resources to help you understand the topics covered in the exam, such as Statistical Business Analyst video tutorials, A00-240 study guides, and A00-240 practice exams. With these resources, you can develop a better understanding of the topics covered in the exam and be better prepared for success.

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SAS Institute A00-240 Exam Overview :

Exam Name SAS Statistical Business Analysis SAS9: Regression and Model
Exam Code A00-240
Actual Exam Duration The duration of the SAS Institute A00-240 exam is 120 minutes.
Expected no. of Questions in Actual Exam 60
What exam is all about The SAS Institute A00-240 exam is all about testing the knowledge and skills of candidates in SAS programming. It is designed to evaluate the ability of candidates to use SAS software to manipulate and analyze data, create reports, and generate graphics. The exam covers topics such as data manipulation, data analysis, SAS programming fundamentals, and SAS macro programming. Passing this exam is a prerequisite for obtaining the SAS Certified Base Programmer for SAS 9 credential.
Passing Score required The passing score required in the SAS Institute A00-240 exam is 70%. This means that you need to answer at least 70% of the questions correctly to pass the exam and earn the SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential. The exam consists of 65 multiple-choice and short-answer questions, and you have 2 hours and 15 minutes to complete it. It is recommended that you have at least six months of experience using SAS software and have completed the SAS Programming 1: Essentials course before taking the exam.
Competency Level required Based on the information available online, the SAS Institute A00-240 Exam is designed for individuals who have a basic understanding of SAS programming concepts and techniques. The exam tests the candidate's ability to use SAS software to manipulate data, create reports, and perform statistical analysis. Therefore, candidates should have a good understanding of SAS programming fundamentals, data manipulation techniques, and statistical analysis concepts. Additionally, candidates should have practical experience using SAS software to solve real-world problems.
Questions Format The SAS Institute A00-240 exam consists of multiple-choice questions.
Delivery of Exam The SAS Institute A00-240 exam is an online proctored exam that can be taken from anywhere with a stable internet connection. The exam is delivered through the SAS Institute's testing partner, Pearson VUE. The exam format is multiple-choice and consists of 70 questions that must be completed within 2 hours and 15 minutes.
Language offered The SAS Institute A00-240 Exam is offered in English language only.
Cost of exam You can visit the official website of SAS Institute or contact their customer support for the latest pricing details.
Target Audience The target audience for the SAS Institute A00-240 certification exam includes professionals who are interested in demonstrating their skills and knowledge in SAS programming. This exam is designed for individuals who have experience in SAS programming and want to validate their expertise in data manipulation, data analysis, and reporting using SAS. The exam is suitable for data analysts, statisticians, programmers, and other professionals who work with data and want to enhance their career prospects in the field of data analytics.
Average Salary in Market The average salary for a SAS programmer with A00-240 certification is around $80,000 per year in the United States. However, the salary may vary depending on the location, industry, and experience level.
Testing Provider You can search for authorized SAS training partners or visit the SAS Institute website to find information on how to register for the A00-240 exam.
Recommended Experience The SAS Institute recommends that candidates have at least six months of experience using SAS software. Additionally, candidates should have a basic understanding of statistical concepts and data analysis techniques. It is also recommended that candidates have experience with SAS programming, data manipulation, and reporting. Candidates can prepare for the exam by taking SAS training courses, practicing with SAS software, and reviewing study materials provided by the SAS Institute.
Prerequisite The SAS Institute A00-240 exam is part of the SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling certification. To be eligible for this certification, candidates must have a minimum of six months of experience in using SAS software for data analysis. Additionally, candidates must have completed the SAS Programming 1: Essentials course or have equivalent programming experience. It is recommended that candidates also complete the SAS Programming 2: Data Manipulation Techniques course or have equivalent experience.
Retirement (If Applicable) It is recommended to check with the official SAS Institute website or contact their customer support for the latest information on exam retirement dates.
Certification Track (RoadMap): The certification track/roadmap for the SAS Institute A00-240 exam is as follows: 1. SAS Certified Base Programmer for SAS 9: This is the first certification in the SAS certification track. It covers the basic concepts of SAS programming, data manipulation, and data analysis. 2. SAS Certified Advanced Programmer for SAS 9: This certification builds on the knowledge gained in the base programmer certification. It covers advanced programming techniques, data management, and performance tuning. 3. SAS Certified Clinical Trials Programmer Using SAS 9: This certification is designed for professionals working in the clinical trials industry. It covers the use of SAS in clinical trials data analysis and reporting. 4. SAS Certified Data Scientist: This certification is designed for professionals who want to demonstrate their expertise in data science. It covers advanced statistical analysis, machine learning, and data visualization. 5. SAS Certified Big Data Professional: This certification is designed for professionals who work with big data. It covers the use of SAS in big data management, analysis, and visualization. The A00-240 exam is part of the SAS Certified Base Programmer for SAS 9 certification. It covers the basic concepts of SAS programming, data manipulation, and data analysis.
Official Information https://www.sas.com/en_us/certification/credentials/advanced-analytics/statistical-business-analyst.html
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SAS A00-240 Exam Topics :

Section Weight Objectives
ANOVA - 10%
  • Verify the assumptions of ANOVA
  • Analyze differences between population means using the GLM and TTEST procedures
  • Perform ANOVA post hoc test to evaluate treatment effect
  • Detect and analyze interactions between factor
Linear Regression - 20%
  • Fit a multiple linear regression model using the REG and GLM procedures
  • Analyze the output of the REG, PLM, and GLM procedures for multiple linear regression models
  • Use the REG or GLMSELECT procedure to perform model selection
  • Assess the validity of a given regression model through the use of diagnostic and residual analysis
Logistic Regression - 25%
  • Perform logistic regression with the LOGISTIC procedure
  • Optimize model performance through input selection
  • Interpret the output of the LOGISTIC procedure
  • Score new data sets using the LOGISTIC and PLM procedures
Prepare Inputs for Predictive Model Performance - 20%
  • Identify the potential challenges when preparing input data for a model
  • Use the DATA step to manipulate data with loops, arrays, conditional statements and functions
  • Improve the predictive power of categorical inputs
  • Screen variables for irrelevance and non-linear association using the CORR procedure
  • Screen variables for non-linearity using empirical logit plots
Measure Model Performance - 25%
  • Apply the principles of honest assessment to model performance measurement
  • Assess classifier performance using the confusion matrix
  • Model selection and validation using training and validation data
  • Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
  • Establish effective decision cut-off values for scoring