How to Prepare for SAS Base Programming (A00-231) Certification Exam?

1. HOW TO PREPARE FOR SAS BASE PROGRAMMING (A00- 231) CERTIFICATION EXAM? A00-231 Practice Test and Preparation Guide GET COMPLETE DETAIL ON A00-231 EXAM GUIDE TO CRACK SAS 9.4. YOU CAN COLLECT ALL INFORMATION ON A00-231 TUTORIAL, PRACTICE TEST, BOOKS, STUDY MATERIAL, EXAM QUESTIONS, AND SYLLABUS. FIRM YOUR KNOWLEDGE ON SAS 9.4 AND GET READY TO CRACK A00- 231 CERTIFICATION. EXPLORE ALL INFORMATION ON A00-231 EXAM WITH THE NUMBER OF QUESTIONS, PASSING PERCENTAGE, AND TIME DURATION TO COMPLETE THE TEST.

2. www.analyticsexam.com A00-231 Practice Test A00-231 is SAS Certified Specialist - Base Programming Using SAS 9.4– Certification offered by the SAS. Since you want to comprehend the A00-231 Question Bank, I am assuming you are already in the manner of preparation for your A00-231 Certification Exam. To prepare for the actual exam, all you need is to study the content of this exam questions. You can recognize the weak area with our premium A00-231 practice exams and help you to provide more focus on each syllabus topic covered. This method will help you to increase your confidence to pass the SAS SAS Base Programming certification with a better score. SAS Base Programming Specialist 1

3. www.analyticsexam.com A00-231 Exam Details Exam Name SAS Certified Specialist - Base Programming Using SAS 9.4 Exam Code A00-231 Exam Duration 135 minutes Exam Questions 40-45 Passing Score 725 / 1000 Exam Price $180 (USD) SAS Programming 1: Essentials SAS Programming 2: Data Manipulation Techniques Books Exam Registration Pearson VUE Sample Questions SAS Base Programming Certification Sample Question Practice Exam SAS Base Programming Certification Practice Exam SAS Base Programming Specialist 2

4. www.analyticsexam.com A00-231 Exam Syllabus Objective Details Access and Create Data Structures Create temporary and permanent SAS data sets. - Use a DATA step to create a SAS data set from an existing SAS data set. Investigate SAS data libraries using base SAS utility procedures. - Use a LIBNAME statement to assign a library reference name to a SAS library. - Investigate a library programmatically using the CONTENTS procedure. - Access SAS data sets with the SET statement. - Use PROC IMPORT to access non-SAS data sources. Access data. ●Read delimited and Microsoft Excel (.xlsx) files with PROC IMPORT. ●Use PROC IMPORT statement options (OUT=, DBMS=, REPLACE) ●Use the GUESSINGROWS statement - Use the SAS/ACCESS XLSX engine to read a Microsoft Excel workbook.xlsx file. - Concatenate data sets. - Merge data sets one-to-one. - Merge data sets one-to-many. - Explain how SAS stores date and time values. - Use SAS informats to read common date and time expressions. - Use SAS date and time formats to specify how the values are displayed. - Use the WHERE statement in the DATA step to select observations to be processed. - Subset variables to be output by using the DROP and KEEP statements. - Use the DROP= and KEEP= data set options to specify columns to be processed and/or output. Combine SAS data sets. Create and manipulate SAS date values. Control which observations and variables in a SAS data set are processed and output. Manage Data SAS Base Programming Specialist 3

5. www.analyticsexam.com - Use the SORT Procedure to re-order observations in place or output to a new dataset with the OUT= option. - Remove duplicate observations with the SORT Procedure. Conditionally execute SAS statements. - Use DO and END statements to execute multiple statements conditionally. Use assignment statements in the DATA step. - Assign the value of an expression to a variable. - Assign a constant date value to a variable. Modify variable attributes using options and statements in the DATA step. - Define the length of a variable using the LENGTH Sort observations in a SAS data set. - Use IF-THEN/ELSE statements to process data conditionally. - Create new variables and assign a value. - Assign a new value to an existing variable. - Change the names of variables by using the RENAME= data set option. - Use LABEL and FORMAT statements to modify attributes in a DATA step. statement. Accumulate sub- totals and totals using DATA step statements. - Use the BY statement to aggregate by subgroups. - Use first. and last. processing to identify where groups begin and end. - Use the RETAIN and SUM statements. Use SAS functions to manipulate character data, numeric data, and SAS date values. - Use SAS functions such as SCAN, SUBSTR, TRIM, UPCASE, and LOWCASE to perform tasks such as the tasks shown below. ●Replace the contents of a character value. ●Trim trailing blanks from a character value. ●Search a character value and extract a portion of the value. ●Convert a character value to upper or lowercase. - Use SAS numeric functions such as SUM, MEAN, RAND, SMALLEST, LARGEST, ROUND, and INT. - Create SAS date values by using the functions MDY, TODAY, DATE, and TIME. - Extract the month, year, and interval from a SAS date value by using the functions YEAR, QTR, MONTH, and DAY. - Perform calculations with date and datetime values and time intervals by using the functions INTCK, INTNX, DATDIF and YRDIF. SAS Base Programming Specialist 4

6. www.analyticsexam.com - Explain the automatic conversion that SAS uses to convert values between data types. - Use the INPUT function to explicitly convert character data values to numeric values. - Use the PUT function to explicitly convert numeric data values to character values. - Explain how iterative DO loops function. - Use DO loops to eliminate redundant code and to perform repetitive calculations. - Use conditional DO loops. - Use nested DO loops. Restructure SAS data sets with PROC TRANSPOSE. - Process data within groups using the BY statement. - Use PROC TRANSPOSE options (OUT=, PREFIX= and Use SAS functions to convert character data to numeric and vice versa. Process data using DO LOOPS. - Select variables to transpose with the VAR statement. - Rename transposed variables with the ID statement. NAME=). Use macro variables to simplify program maintenance. - Create macro variables with the %LET statement - Use macro variables within SAS programs. Error Handling Identify and resolve programming logic errors. - Use the PUTLOG Statement in the Data Step to help identify logic errors. - Use PUTLOG to write the value of a variable, formatted values, or to write values of all variables. - Use PUTLOG with Conditional logic. - Use temporary variables N and ERROR to debug a DATA step. - Identify the characteristics of SAS statements. - Define SAS syntax rules including the typical types of syntax errors such as misspelled keywords, unmatched quotation marks, missing semicolons, and invalid options. - Use the log to help diagnose syntax errors in a given program. Recognize and correct syntax errors. Generate Reports and Output SAS Base Programming Specialist 5

7. www.analyticsexam.com Generate list reports using the PRINT procedure. - Modify the default behavior of PROC PRINT by adding statements and options such as ●use the VAR statement to select and order variables. ●calculate totals with a SUM statement. ●select observations with a WHERE statement. ●use the ID statement to identify observations. ●use the BY statement to process groups. Generate summary reports and frequency tables using base SAS procedures. - Produce one-way and two-way frequency tables with the FREQ procedure. - Enhance frequency tables with options (NLEVELS, ORDER=). - Use PROC FREQ to validate data in a SAS data set. - Calculate summary statistics and multilevel summaries using the MEANS procedure - Enhance summary tables with options. - Identify extreme and missing values with the UNIVARIATE procedure. - Use PROC FORMAT to define custom formats. Enhance reports system user-defined formats, titles, footnotes and SAS System ●VALUE statement ●CNTLIN= option - Use the LABEL statement to define descriptive column headings. reporting options. - Control the use of column headings with the LABEL and SPLIT=options in Proc Print output. - Identify the Output Delivery System destinations. - Create HTML, PDF, RTF, and files with ODS statements. - Use the STYLE=option to specify a style template. - Create files that can be viewed in Microsoft Excel. - Create a simple raw data file by using the EXPORT procedure as an alternative to the DATA step. - Export data to Microsoft Excel using the SAS/ACCESS XLSX engine. Generate reports using ODS statements. Export data SAS Base Programming Specialist 6

8. www.analyticsexam.com A00-231 Questions and Answers Set 01. This project will work with the following program: data work.lowchol work.highchol; set sashelp.heart; if cholesterol lt 200 output work.lowchol; if cholesterol ge 200 output work.highchol; if cholesterol is missing output work.misschol; run; This program is intended to: - Divide the observations of sashelp.heart into three data sets, work.highchol, work.lowchol, and work.misschol - Only observations with cholesterol below 200 should be in the work.lowchol data set. - Only Observations with cholesterol that is 200 and above should be in the work.highchol data set. - Observations with missing cholesterol values should only be in the work.misschol data set. Fix the errors in the above program. There may be multiple errors in the program. Errors may be syntax errors, program structure errors, or logic errors. In the case of logic errors, the program may not produce an error in the log. After fixing all of the errors in the program, answer the following questions: How many observations are in the work.lowchol data set? Solution: 1405 Determine whether the given solution is correct? a) Correct b) Incorrect Answer: a SAS Base Programming Specialist 7

9. www.analyticsexam.com Q2: The following SAS program is submitted: proc format; value score 1 - 50 = 'Fail' 51 - 100 = 'Pass'; run; Which one of the following PRINT procedure steps correctly applies the format? a) proc print data = SASUSER.CLASS; var test; format test score; run; b) proc print data = SASUSER.CLASS; var test; format test score.; run; c) proc print data = SASUSER.CLASS format = score.; var test; run; d) proc print data = SASUSER.CLASS format = score; var test; run; Answer: b 03. The following SAS program is submitted: data WORK.TEMP; Char1='0123456789'; Char2=substr(Char1,3,4); run; What is the value of Char2? a) 23 b) 34 c) 345 d) 2345 Answer: d SAS Base Programming Specialist 8

10. www.analyticsexam.com 04. This project will use the data set sashelp.shoes. Write a SAS program that will: Read sashelp.shoes as input. Create a new SAS data set, work.shoerange. Create a new character variable SalesRange that will be used to categorize the observations into three groups. Set the value of SalesRange to the following: - Lower when Sales are less than $100,000. - Middle when Sales are between $100,000 and $200,000, inclusively. - Upper when Sales are above $200,000. Run the program, then use additional SAS procedures to answer the following questions: How many observations are classified into the “Lower” group? Solution: 288 Determine whether the given solution is correct? a) Correct b) Incorrect Answer: a 05. This project will use data set sashelp.shoes. Write a SAS program that will: - Read sashelp.shoes as input. - Create the SAS data set work.sortedshoes. Sort the sashelp.shoes data set: - First by variable product in descending order. - Second by variable sales in ascending order. Run the program and answer the following questions: What is the value of the Region variable in observation 130? Solution: Pacific Determine whether the given solution is correct? a) Incorrect b) Correct Answer: b SAS Base Programming Specialist 9

11. www.analyticsexam.com 06. Given the SAS data set WORK.ONE: Revenue2008 Revenue2009 Revenue2010 ----------- ----------- ----------- 1.2 1.6 2.0 The following SAS program is submitted: data WORK.TWO; set WORK.ONE; Total=sum(of Rev:); run; What value will SAS assign to Total? a) 3 b) 1.6 c) The program fails to execute due to errors. d) 4.8 Answer: d 07. Given the SAS data set WORK.INPUT: Var1 Var2 ------ ------- A one A two B three C four A five The following SAS program is submitted: data WORK.ONE WORK.TWO; set WORK.INPUT; if Var1='A' then output WORK.ONE; output; run; How many observations will be in data set WORK.ONE? Enter your numeric answer in the space below. [.......] Solution: 8 Determine whether the given solution is correct? a) Incorrect b) Correct Answer: b SAS Base Programming Specialist 10

12. www.analyticsexam.com 08. This project will work with the following program: data work.lowchol work.highchol; set sashelp.heart; ifcholesterol lt 200 output work.lowchol; if cholesterol ge 200 output work.highchol; if cholesterol is missing output work.misschol; run; This program is intended to: - Divide the observations of sashelp.heart into three data sets, work.highchol, work.lowchol, and work.misschol - Only observations with cholesterol below 200 should be in the work.lowchol data set. - Only Observations with cholesterol that is 200 and above should be in the work.highchol data set. - Observations with missing cholesterol values should only be in the work.misschol data set. Fix the errors in the above program. There may be multiple errors in the program. Errors may be syntax errors, program structure errors, or logic errors. In the case of logic errors, the program may not produce an error in the log. After fixing all of the errors in the program, answer the following questions: How many observations are in the work.highchol data set? Solution: 3652 Determine whether the given solution is correct? a) Incorrect b) Correct Answer: b SAS Base Programming Specialist 11

13. www.analyticsexam.com 09. This project will use data set sashelp.shoes. Write a SAS program that will: Read sashelp.shoes as input. Create the SAS data set work.sortedshoes. Sort the sashelp.shoes data set: First by variable product in descending order. Second by variable sales in ascending order. Run the program and answer the following questions: What is the value of the product variable in observation 148? Solution: Slipper Determine whether the given solution is correct? a) Correct b) Incorrect Answer: a 10. This project will use the data set sashelp.shoes. Write a SAS program that will: > Read sashelp.shoes as input. > Create a new SAS data set, work.shoerange. > Create a new character variable SalesRange that will be used to categorize the observations into three groups. > Set the value of SalesRange to the following: - Lower when Sales are less than $100,000. - Middle when Sales are between $100,000 and $200,000, inclusively. - Upper when Sales are above $200,000. Run the program, then use additional SAS procedures to answer the following questions: What is the mean value of observations in the “Middle” group? Round your answer to the nearest whole number. Solution: 135127 Determine whether the given solution is correct? a) Incorrect b) Correct Answer: b SAS Base Programming Specialist 12

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