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| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS Certified Associate: Programming Fundamentals Using SAS 9.4 |
| Exam Number: | A00-215 |
| Available Languages: | Japanese, English, Chinese (Simplified) |
| Certificate Validity Period: | No expiration |
| Passing Score: | 68% |
| Exam Price: | $120 USD |
| Exam Format: | Short answer, Multiple choice |
| Related Certifications: | SAS Certified Professional: Advanced Programming Using SAS 9.4 |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 60-65 |
| Recommended Training: | SAS 9.4 Programming Fundamentals Preparation Guide SAS Programming 1: Essentials |
| Exam Registration: | Pearson VUE Registration SAS Official Registration |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites; basic programming knowledge recommended |
| Official Syllabus URL: | https://www.sas.com/en_us/certification/credentials/foundation-tools/programming-fundamentals.html |
| Section | Weight | Objectives |
|---|---|---|
| Import and Export Non-SAS Files | 5-10% | - Import/export CSV files - ODS: output results to external files - Import/export Excel files using XLSX engine |
| Use Utility Procedures | 5-10% | - PROC FORMAT: define custom formats - PROC SORT: sort data sets |
| Using the DATA Step to Access SAS Data Sets | 20-25% | - DATA and SET statements - Compilation and execution phases - Combine data sets: concatenate, merge - Subset observations and variables |
| Fundamental SAS Concepts | 15-20% | - General rules of DATA and PROC steps - Interpret SAS log and identify errors - SAS data set naming conventions and variable types - SAS statements and global statements |
| Generate Reports Using PROC Steps | 10-15% | - PROC PRINT: detail reports - PROC MEANS: summary statistics - PROC FREQ: frequency tables - Report enhancements: labels, formats, titles |
| Explore SAS Data Sets | 15-20% | - SAS date values and storage - PROC CONTENTS and data set attributes - Data set options: DROP=, KEEP=, RENAME=, OBS= - LIBNAME statement and accessing data libraries |
| Using the DATA Step to Manipulate Data | 20-25% | - Create and modify variables - SAS functions: numeric, character, date - Conditional processing: IF-THEN/ELSE - Permanent variable attributes - Iterative DO loops and accumulating variables |
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Currently, the A00-215 exam requires a passing score of 68% and carries a registration fee of $120 USD. SASInstitute can revise either figure, so confirm both on the official site before you schedule.
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SASInstitute lists these prerequisites for the SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4: No formal prerequisites; basic programming knowledge recommended.
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You have two SAS datasets, 'SALES' and 'CUSTOMERS', with a common key variable 'CUSTOMER ID. You need to merge these datasets, but you only want to keep records from 'SALES' that have a corresponding match in 'CUSTOMERS'. Which of the following code snippets correctly accomplishes this using the IN= option within a MERGE statement?





Correct Answer: E 🗳️
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You are working with a dataset named 'work.customer' that contains a variable called 'age' representing the age of customers. You want to create a new variable 'age_group' based on the following criteria: 'age_group' = Young' if 'age' is less than 30 'age_group' = 'Middle' if 'age' is between 30 and 50 (inclusive) 'age_group' = 'Senior' if 'age' is greater than 50 Which SAS code snippet correctly creates the 'age_group' variable?





Correct Answer: A,C 🗳️
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You have a dataset with variables 'Region' and 'Sales'. You want to create a new variable 'TotalSales' that accumulates the sales for each region. Which code snippet would you use in the DATA step to achieve this?





Correct Answer: D 🗳️
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You have a dataset 'EMPLOYEES' with variables 'EMPLOYEE ID', 'DEPARTMENT', and 'SALARY'. You want to create a new dataset 'HIGHEST SALARY BY DEPT' that contains the highest salary for each department. However, you also need to create a variable called 'RANK' that indicates the rank of each employee's salary within their department, with the highest salary being ranked 1. Which of the following DATA step code snippets will achieve this correctly?





Correct Answer: A 🗳️
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You are building an interactive dashboard that displays sales data from a SAS dataset. The dashboard needs to be generated as an HTML file that includes interactive charts and tables. Which of the following methods can be used to achieve this using ODS?
Correct Answer: B 🗳️
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