質問 1:The following SAS program is submitted:
Data WORK.COMPRESS;
ID = '1968 05-10 567';
NewID = compress (ID, "-");
run;
What will the value of NewID be in the WORK.COMPRESS data set?
A. 196805-10567
B. 1968 0510 567
C. 19680510567
D. 1968 05-10 567
正解:D
質問 2:This question will ask you to provide a segment of missing code.
Given the SAS data set WORK.ONE:

The following SAS program is submitted:

The data set WORK.TWO is created, where Day would be the day of the month:

Which expression successfully completed the program and creates the variable Day?
A. day(BeginDate)
B. getday(BeginDate)
C. weekday(BeginDate)
D. dayofmonth(BeginDate)
正解:C
質問 3:The following SAS program is submitted:

How will the Exam variable value be displayed in the FREQ procedure output?
A. Pass
B. 50.5
C. .(missing numeric value)
D. Fail
正解:B
質問 4:A PROC PRINT report was created with the following title:
Asia Sports Vehicle Summary After the PROC PRINT report is run, a programmer would next like to produce a PROC FREQ report with the following title: Asia Sports Vehicle Summary Distribution by Make Which statement(s) would produce the new report titles?
Select one:
A. title "Asia Sports Vehicle Summary"; title "Distribution by Make";
B. title "Asia Sports Vehicle Summary"; subtitle "Distribution by Make";
C. title "Asia Sports Vehicle Summary"; title2 "Distribution by Make";
D. title "Distribution by Make";
正解:C
質問 5:Given the SAS data set ONE:
Given the SAS data set WORK.ONE:

The following SAS program is submitted:

Which report is produced?
A. Option A
B. Option C
C. Option D
D. Option B
正解:D
質問 6:Which statement describes a characteristic of the SAS automatic variable _ERROR_?
A. The _ERROR_ variable contains the number of the observation that caused the data error.
B. The _ERROR_ variable can be used in expressions in the DATA step.
C. The _ERROR_ variable maintains a count of the number of data errors in a DATA step.
D. The _ERROR_ variable is added to the program data vector and becomes part of the data set being created.
正解:B
質問 7:Given the raw data file EMPLOYEE.TXT:

The following SAS program is submitted:

What value does the variable idnum contain when the name of the employee is "Ruth"?
A. 44
B. 33
C. 39
D. 22
正解:D
質問 8:This question will ask you to provide a line of missing code.
The following SAS program is submitted:
proc freq data = WORK.SALES;
<insert code here>
run;
The following output is created by the FREQUENCY procedure:

Which statement was used to complete the above program that produced the output?
A. tables region product;
B. var region * product;
C. tables region*product;
D. var region product;
正解:C
質問 9:The following SAS program is submitted:
data work.test;
set work.staff (keep = jansales febsales marsales);
array diff_sales{3} difsales1 - difsales3;
array monthly{3} jansales febsales marsales;
run;
What new variables are created?
A. DIFF_SALES1, DIFF_SALES2 and DIFF_SALES3
B. JANSALES, FEBSALES and MARSALES
C. DIFSALES1, DIFSALES2 and DIFSALES3
D. MONTHLY1, MONTHLY2 and MONTHLY3
正解:C
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SASInstitute A00-231 認定試験の出題範囲:
| トピック | 出題範囲 |
|---|
| トピック 1 | - Manage Data: This section of the exam measures skills of Data Engineers and covers essential data management techniques in SAS. Candidates must be able to sort observations using the SORT procedure, eliminate duplicates, and conditionally execute statements using IF-THEN
- ELSE and DO-END structures. They should be proficient in creating and modifying variables using assignment statements and formatting options, such as LABEL and FORMAT. The section also covers methods for accumulating subtotals using BY-group processing and RETAIN and SUM statements. Additionally, candidates must manipulate character and numeric data using SAS functions such as SCAN, SUBSTR, ROUND, and INT, perform type conversions with INPUT and PUT functions, and process data iteratively using DO loops.
|
| トピック 2 | - Error Handling: This section of the exam measures skills of SAS Programmers and covers techniques for identifying and resolving programming errors. Candidates must be able to debug logic errors using the PUTLOG statement and temporary variables like N and ERROR. The section emphasizes recognizing and correcting syntax errors, including misspelled keywords, missing semicolons, and unmatched quotation marks. Candidates should also know how to interpret SAS logs to diagnose issues effectively and apply best practices to prevent common errors.
|
| トピック 3 | - Generate Reports and Output:
|
| トピック 4 | - This section of the exam measures skills of Business Intelligence Analysts and covers generating structured reports using SAS procedures. Candidates must use PROC PRINT to create list reports while modifying output through statements like VAR, SUM, and WHERE. The section also focuses on generating summary reports using PROC FREQ, MEANS, and UNIVARIATE to analyze data distribution and validate information. Enhancing reports through user-defined formats, titles, and footnotes is also covered. Candidates are expected to utilize the Output Delivery System (ODS) to create reports in multiple formats such as HTML, PDF, RTF, XLSX, and CSV. Lastly, exporting data using PROC EXPORT and the SAS
- ACCESS XLSX engine is an essential competency.
|
| トピック 5 | - Access and Create Data Structures: This section of the exam measures skills of Data Analysts and covers the creation of temporary and permanent SAS data sets using the DATA step. Candidates are expected to investigate SAS data libraries using utility procedures such as LIBNAME and PROC CONTENTS. They must demonstrate proficiency in accessing data through the SET statement and PROC IMPORT, including reading delimited and Microsoft Excel files. Additionally, they must understand data set combination techniques such as concatenation and merging, manage SAS date values using appropriate informats and formats, and apply filtering techniques using WHERE, IF, DROP, and KEEP statements.
|
参照:https://www.sas.com/en_us/certification/credentials/foundation-tools/base-programming-specialist.html#exam-details
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