Top SAS interview Questions And Answers
Here are top 58 objective type sample SAS Interview questions and their answers are given just below to them. These sample questions are framed by experts from Intellipaat who trains for SAS training
to give you an idea of type of questions which may be asked in interview. We have taken full care to give correct answers for all the questions. Do comment your thoughts Happy Job Hunting!
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Top Answers to SAS Interview Questions
1. Compare SAP BO & SAS BI
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2. Explain SUBSTR function?
SUBSTR Function is used for extracting a string or replacing contents of character value.
3. Explain TRANSLATE function?
TRANSLATE Function : Characters which are specified in a string are replaced by the characters specified by us.
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4. Explain PROC SORT?
PROC SORT sorts SAS data set by variables so that a new data set can be prepared for further use.
5. Explain PROC UNIVARIATE?
PROC UNIVARIATE is used for elementary numeric analysis and will examine how data is distributed.
6. Explain APPEND procedure?
APPEND means adding at the end so in terms of SAS we can say adding one sas data set to another sas data set.
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7. Explain BMDP procedure?
For analyzing data BMPD procedure is used.
8. Define RUN-Group processing?
RUN-Group processing is used to submit a PROC step using RUN statement without ending the procedure.Interested in a high-paying career in Big Data? sas online certification is what you need!
9. Explain BY-Group processing?
BY statement is used by BY-Group processing so that it can process data which are indexed, grouped or ordered based on the variables.
10. What will CALENDAR procedure do?
CALENDAR procedure will show data in a monthly calendar format from SAS data set
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11. What are the functions which are used for Character handling functions?
UPCASE and LOWCASE are the functions which are used for character handling functions.
12. What is the use of DIVIDE function?
DIVIDE function is used to return the division result.
13. Explain BOR function?
It is a bitwise logical operation and is used to return bitwise logical OR between two statements.
14. What do you mean by CALL PRXFREE Routine?
CALL PRXFREE routine is used for Character String Matching and is used for allocation of free memory for perl regular expression.
15. Explain CALL PRXCHANGE routine?
It is used for performing replacement of pattern matching.
16. Explain ANYDIGIT function?
It is used for searching a character string and as soon as string is found it will return it.
17. What do you understand by CALL MISSING routine?
The character or numeric variables which are specified will be assigned missing values through CALL MISSING routine.
18. What do you mean by ALTER data set option?
It is used for assigning an ALTER password which will stop the users from changing the file.
19. Explain COMPRESS data set option?
It is used for compressing the data into new output.
20. Define Formats?
Instruction used by SAS for writing data values is known as Formats.
21. How variable formats are handled by PROC COMPARE?
Variable formats are handled by PROC COMPARE as PROC COMPARE is used for comparing unformatted values.
22. What are the features of SAS system?
It provides Ipv6 support, new true type fonts, extended time notations, restart mode, universal printing, checkpoint mode and ISO 8601 support.
23. What is the use of $BASE64X?
By using base 64 encoding, character data is converted into ASCII text.
24. Explain VFORMATX Function?
It is used to return the format which is assigned with the value of the given Statement.
25. Define STD function?
Standard deviation will be returned for nonmissing statements.
26. How can SAS program can be validated?
By writing OPTIONS OBS=0 at the starting of the code and if execution of code is On PC SAS than log will be detected itself by highlighted colors. These are the two ways for validating an SAS program
27. What is Debugging?
Debugging is the technique for testing the program logic and this can be done with the help of debugger.
28. Explain FILECLOSE data set option?
When data set is closed, its tape positioning is defined by FILECLOSE.
29. What does ODS stands for?
ODS stands for output delivery system.
30. What does CDISC stands for?
CDISC stands for Clinical Data Interchange Standards Consortium.
31. Which method is used to copy blocks of data?
The method which is used to copy blocks of data is defined as block I/O method.
32. What is the procedure for copying an entire library?
Copy statement should be followed by an input data library and an output data library.
33. Define MAX() function?
Max() function is used to return the largest value.
34. What is the use of sysrc function?
It is a function which provides a system error number.
35. Explain what is SAS? What are the functions does it performs?
SAS i.e. Statistical Analysis System is a combined set of software solutions which helps user to analyze data.
- It can change, manipulate, analyze & retrieve data.
- Numerical analysis can be done.
- Report writings.
- Quality can be improved.
36. Explain what is the basic structure of SAS programing?
SAS programs consists of :
- DATA step, which recovers & manipulates data.
- PROC step, which interpret the data.
37. Explain what is Data Step?
The main function of Data step is to create SAS data sets by manipulating data.
38. Explain what is PDV?
Program Data Vector is the area of memory where data sets are created through SAS system i.e. one at a time. When program is executed an input buffer is created which will read the data values and make them assign to their respective variables.
39. In SAS explain which statement does not perform automatic conversions in comparisons?
By using WHERE statements automatic conversions can’t be performed because WHERE statement variables exist in the data set.
40. Mention what is the difference between nodupkey and nodup options?
The identical observations are checked and removed through NODUP option. NODUPKEY option checks for all BY variable values and if found, it will eliminate that.
41. Explain what is the use of function Proc summary?
Proc Summary is same as Proc Means i.e. it will give descriptive statistics but it will not give output as default, we have to give an option print then only it will give the output.
42. Explain what does PROC print, and PROC contents are used for?
PROC print outputs a listing of the values of some or all of the variables in a SAS data set. PROC contents tells the structure of the data set rather than the data values.
43. Explain what Procglm does?
The functions of Procglm are covariance analysis, variance analysis, multivariate and repeated analysis of variance.
44. Explain what is SAS informats?
An informat is an instruction that SAS uses to read data values. They are used to read, or input data from external files.
45. What function CATX syntax does?
CATX syntax inserts delimiters, removes trailing and leading blanks and returns a concatenated character string.
46. Explain what is the use of PROC gplot?
PROC gplot identifies the data set that contains the plot variables. It has more options and therefore can create more colorful and fancier graphics.
47. How to sort in descending order?
By using DESCENDING keyword in PROC SORT code, we can sort in descending order.
48. What do the put and input function do?
Input Function : Character values are converted into numeric values Put function : Numeric values are converted into character values.
49. What’s the difference between VAR B1 – B3 and VAR B1 — B3?
Single Dash specifies consecutively numbered variables. Double Dash specifies variables available within that data set. For example:
Data Set: ID NAME B1 B2 C1 B3Then, B1 – B3 would return B1 B2 B3
And B1 – B3 would return B1 B2 C1 B3.
50. What is the basic syntax style in SAS?
The points important for running SAS program are :
- DATA statement, which names your data set.
- The names of the variables in your data set are described by INPUT statement.
- Statement should be ended through semi-colon(;).
- Space between word and statement should be there.
51. What are the special input delimiters?
The input delimiters are DLM and DSD.
52. What is the difference between a format and an informat?
Format : A format is to write data i.e. WORDIATE18 and WEEKDATEW
Informat : An informat is to read data i.e. comma, dollar and date (MMDDYYw, DATEw, TIMEw, PERCENTw)
53. Describe any one SAS function?
RIM : removes trailing blanks from a character expression
Str1 = ‘my’;
Str2 = ‘dog’;
Result = TRIM (Str1)(Str2);
Result = ‘mydog’
54. What is Program Data Vector (PDV) and what are its functions?
PDV is a logical area in the memory
- SAS creates a dataset one observation at a time.
- Input buffer is created at the time of compilation, for holding a record from external file.
- PDV is created followed by the creation of input buffer.
- SAS builds dataset in the PDV area of memory
55. Compare SAS STATA & SPSS?
Each package offers its own unique strengths and weaknesses. As a whole, SAS, Stata and SPSS form a set of tools that can be used for a wide variety of statistical analysis. With Stat/Transfer it is very easy to convert data files from one package to another in just a matter of seconds or minutes. Therefore, there can be quite an advantage to switching from one analysis package to another depending on the nature of your problem. For example, if you were performing analysis using mixed models you might choose SAS, but if you were doing logistic regression you might choose Stata, and if you were doing analysis of variance you might choose SPSS. If you are frequently performing statistical analysis, we would strongly urge you to consider making each one of these packages part of your toolkit for data analysis.
56. What are the uses of SAS?
SAS/ETS software provides tools for a wide variety of applications in business, government, and academia. Major uses of SAS/ETS procedures
are economic analysis, forecasting, economic and financial modeling, time series analysis, financial reporting, and manipulation of time series data.
The common theme relating the many applications of the software is time series data: SAS/ETS software is useful whenever it is necessary to analyze or predict processes that take place over time or to analyze models that involve simultaneous relationships.
Although SAS/ETS software is most closely associated with business, finance and economics, time series data also arise in many other fields. SAS/ETS software is useful whenever time dependencies, simultaneous relationships, or dynamic processes complicate data analysis.For example, an environmental quality study might use SAS/ETS software’s time series analysis tools to analyze pollution emissions data. A pharmacokinetic study might use SAS/ETS software’s features for nonlinear systems to model the dynamics of drug metabolism in different tissues.
57. How do I Create a SAS Data Set with Compressed Observations?
To create a compressed SAS data set, use the COMPRESS=YES option as an output DATA set option or in an OPTIONS statement.Compressing a data set reduces its size by reducing repeated consecutive characters or numbers to 2-bye or 3-byte representations.To uncompress observations, you must use a DATA step to copy the data set and use option COMPRESS=NO for the new data set.
The advantages of using a SAS
compressed data set are reduced storage requirements for the data set and fewer input/output operations necessary to read from and write to the data set during processing. The disadvantages include not being able to use SAS observation number to access an observation. The CPU time required to prepare compressed observations for input/output observations is increased because of the overhead of compressing and expanding the observations. (Note: If there are few repeated characters, a data set can occupy more space in compressed form than in uncompressed form, due to the higher overhead per observation.) For more details on SAS compression see “SAS Language: Reference, Version 6, First Edition, Cary, NC: SAS Institute Inc., 1990”.
58. How can we minimize space requirement for the huge data set in SAS for window?
When you are working with large data sets, you can do the following steps to reduce space requirements.
- Split huge data set into smaller data sets.
- Clean up your working space as much as possible at each step.
- Use data set options (keep= , drop=) or statement (keep, drop) to limit to only the variables needed.
- Use IF statement or OBS = to limit the number of observations.
- Use WHERE= or WHERE or index to optimize the WHERE expression to limit the number of observations in a Proc Step and Data Step.
- Use length to limit the bytes of variables.
- Use _null_ data set name when you don’t need to create a data set.
- Compress data set using system options or data set options (COMPRESS=yes or COMPRESS=binary).
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