*SAS Interview Questions and Answers for experienced PDF, Read commonly asked SAS Job Interview Questions with Answers PDF for Freshers.*

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__Read SAS Interview Questions and Answers__

**What areas of SAS are you most interested in?**

BASE, STAT, GRAPH, ETS.

**Describe 5 ways to do a “table lookup” in SAS.**

Match Merging, Direct Access, Format Tables, Arrays, PROC SQL

**What versions of SAS have you used (on which platforms)?**

SAS 9.1.3,9.0, 8.2 in Windows and UNIX, SAS 7 and 6.12

**What are some good SAS programming practices for processing very large data sets?**

Sampling method using OBS option or subsetting, commenting the Lines, Use Data Null

**What are some problems you might encounter in processing missing values? In Data steps? Arithmetic? Comparisons? Functions? Classifying data?**

The result of any operation with missing value will result in missing value. Most SAS statistical procedures exclude observations with any missing variable values from an analysis.

**How would you create a data set with 1 observation and 30 variables from a data set with 30 observations and 1 variable?**

Using PROC TRANSPOSE

**What is the difference between functions and PROCs that calculate the same simple descriptive statistics?**

Proc can be used with a wider scope and the results can be sent to a different dataset. Functions usually affect the existing datasets.

**If you were told to create many records from one record, show how you would do this using array and with PROC TRANSPOSE?**

Declare array for number of variables in the record and then used Do loop Proc Transpose with VAR statement

**What do the SAS log messages “numeric values have been converted to the character” mean? What are the implications?**

It implies that automatic conversion took place to make character functions possible.

**Why is a STOP statement needed for the POINT= option on a SET statement?**

Because POINT= reads only the specified observations, SAS cannot detect an end-of-file condition as it would if the file were being read sequentially.

**How do you control the number of observations and/or variables read or written?**

FIRSTOBS and OBS option

**Approximately what date is represented by the SAS date value of 730?**

31st December 1961

**Identify statements whose placement in the DATA step is critical.**

INPUT, DATA, and RUN…

**What does the RUN statement do?**

When SAS editor looks at Run it starts compiling the data or proc step, if you have more than one data step or proc step or if you have a proc step. Following the data step then you can avoid the usage of the run statement.

**Why is SAS considered self-documenting?**

**SAS**is considered self-documenting because during the compilation time it creates and stores all the information about the data set like the time and date of the data set creation later No. of the variables later labels all that kind of info inside the dataset and you can look at that info using proc contents procedure.

**What are some good SAS programming practices for processing very large data sets?**

Sort them once, can use firstobs = and obs = ,

**What is the difference between functions and PROCs that calculate the same simple descriptive statistics?**

Functions can be used inside the data step and on the same data set but with proc’s you can create new data sets to output the results. May be more ………..

**If you were told to create many records from one record, show how you would do this using arrays and with PROC TRANSPOSE?**

I would use TRANSPOSE if the variables are fewer use arrays if the var is more …………….. depends

**What is a method for assigning first.VAR and last.VAR to the BY groupvariable on unsorted data?**

In unsorted data, you can’t use First or Last.

**How do you debug and test your SAS programs?**

The first thing is to look into Log for errors or warning or NOTE in some cases or use the debugger in the SAS data step.

**What other SAS features do you use for error trapping and datavalidation?**

Check the Log and for data validation things like Proc Freq, Proc means or some times proc print to look at how the data looks like ……..

**How would you combine 3 or more tables with different structures?**

I think to sort them with common variables and use merge statement. I am not sure what you mean different structures.

**What are _numeric_ and _character_ and what do they do?**

Will either read or writes all numeric and character variables in the dataset.

**For what purpose would you use the RETAIN statement?**

The retain statement is used to hold the values of variables across iterations of the data step. Normally, all variables in the data step are set to missing at the start of each iteration of the data step. What is the order of evaluation of the comparison operators: + – * / ** ()?A) (), **, *, /, +, –

**How could you generate test data with no input data?**

Using Data Null and put statement

**How do you debug and test your SAS programs?**

Using Obs=0 and systems options to trace the program execution in the log.

**What can you learn from the SAS log when debugging?**

It will display the execution of the whole program and the logic. It will also display the error with line number so that you can and edit the program.

**What is the purpose of the error?**

It has only to values, which are 1 for error and 0 for no error.

**How do you test for missing values?**

Using Subset functions like IF then Else, Where and Select.

**In the flow of DATA step processing, what is the first action in a typical DATA Step?**

When you submit a DATA step, SAS processes the DATA step and then creates a new SAS data set. ( creation of input buffer and PDV)

Compilation Phase

Execution Phase

Compilation Phase

Execution Phase

**What are SAS/ACCESS and SAS/CONNECT?**

SAS/Access only process through the databases like Oracle, SQL-server, Ms-Access, etc. SAS/Connect only use Server connection.

**What is the one statement to set the criteria of data that can be coded in any step?**

OPTIONS Statement, Label statement, Keep / Drop statements.

**What is the purpose of using the N=PS option?**

The N=PS option creates a buffer in memory which is large enough to store PAGESIZE (PS) lines and enables a page to be formatted randomly prior to it being printed.

**What are the scrubbing procedures in SAS?**

Proc Sort with the nodupkey option, because it will eliminate the duplicate values.

**What are the new features included in the new version of SAS i.e., SAS9.1.3?**

The main advantage of version 9 is faster execution of applications and centralized access of data and support.

There are lots of changes has been made in version 9 when we compared with version 8. The following are the few: SAS version 9 supports Formats longer than 8 bytes & is not possible with version 8.

Length for Numeric format allowed in version 9 is 32 where as 8 in version 8.

Length for Character names in version 9 is 31 where as in version 8 is 32.

Length for numeric informat in version 9 is 31, 8 in version 8.

Length for character names is 30, 32 in version 8.3 new informats are available in version 9 to convert various date, time and datetime forms of data into a SAS date or SAS time.

•ANYDTDTEW. – Converts to a SAS date value

•ANYDTTMEW. – Converts to a SAS time value.

•ANYDTDTMW. -Converts to a SAS datetime value.

•CALL SYMPUTX Macro statement is added in version 9 which creates a macro variable at execution time in the data step by Trimming trailing blanks. Automatically converting a numeric value to the character. New ODS option (COLUMN OPTION) is included to create multiple columns in the output.

There are lots of changes has been made in version 9 when we compared with version 8. The following are the few: SAS version 9 supports Formats longer than 8 bytes & is not possible with version 8.

Length for Numeric format allowed in version 9 is 32 where as 8 in version 8.

Length for Character names in version 9 is 31 where as in version 8 is 32.

Length for numeric informat in version 9 is 31, 8 in version 8.

Length for character names is 30, 32 in version 8.3 new informats are available in version 9 to convert various date, time and datetime forms of data into a SAS date or SAS time.

•ANYDTDTEW. – Converts to a SAS date value

•ANYDTTMEW. – Converts to a SAS time value.

•ANYDTDTMW. -Converts to a SAS datetime value.

•CALL SYMPUTX Macro statement is added in version 9 which creates a macro variable at execution time in the data step by Trimming trailing blanks. Automatically converting a numeric value to the character. New ODS option (COLUMN OPTION) is included to create multiple columns in the output.

**What do the PUT and INPUT functions do?**

INPUT function converts character data values to numeric values.

PUT function converts numeric values to character values.EX: for INPUT: INPUT (source, informat)

For PUT: PUT (source, format)

Note that the INPUT function requires INFORMAT and PUT function requires FORMAT.

If we omit the INPUT or the PUT function during the data conversion, SAS will detect the mismatched variables and will try an automatic character-to-numeric or numeric-to-character conversion. But sometimes this doesn’t work because $ sign prevents such conversion. Therefore it is always advisable to include INPUT and PUT functions in your programs when conversions occur.

PUT function converts numeric values to character values.EX: for INPUT: INPUT (source, informat)

For PUT: PUT (source, format)

Note that the INPUT function requires INFORMAT and PUT function requires FORMAT.

If we omit the INPUT or the PUT function during the data conversion, SAS will detect the mismatched variables and will try an automatic character-to-numeric or numeric-to-character conversion. But sometimes this doesn’t work because $ sign prevents such conversion. Therefore it is always advisable to include INPUT and PUT functions in your programs when conversions occur.

**Which date function advances a date, time or datetime value by a given interval?**

INTNX:

INTNX function advances a date, time, or datetime value by a given interval, and returns a date, time, or datetime value. Ex: INTNX(interval,start-from,number-of-increments,alignment)

INTCK: INTCK(interval,start-of-period,end-of-period) is an interval function counts the number of intervals between two gives SAS dates, Time and/or DateTime.

DATETIME () returns the current date and time of day.

DATDIF (sdate,edate, basis): returns the number of days between two dates.

INTNX function advances a date, time, or datetime value by a given interval, and returns a date, time, or datetime value. Ex: INTNX(interval,start-from,number-of-increments,alignment)

INTCK: INTCK(interval,start-of-period,end-of-period) is an interval function counts the number of intervals between two gives SAS dates, Time and/or DateTime.

DATETIME () returns the current date and time of day.

DATDIF (sdate,edate, basis): returns the number of days between two dates.

**How might you use MOD and INT on numeric to mimic SUBSTR on character Strings?**

The first argument to the MOD function is numeric, the second is a non-zero numeric; the result is the remainder when the integer quotient of argument-1 is divided by argument-2. The INT function takes only one argument and returns the integer portion of an argument, truncating the decimal portion. Note that the argument can be an expression.

DATA NEW ;

A = 123456 ;

X = INT( A/1000 ) ;

Y = MOD( A, 1000 ) ;

Z = MOD( INT( A/100 ), 100 ) ;

PUT A= X= Y= Z= ;

RUN ;

Result:

A=123456

X=123

Y=456

Z=34

DATA NEW ;

A = 123456 ;

X = INT( A/1000 ) ;

Y = MOD( A, 1000 ) ;

Z = MOD( INT( A/100 ), 100 ) ;

PUT A= X= Y= Z= ;

RUN ;

Result:

A=123456

X=123

Y=456

Z=34

**In ARRAY processing, what does the DIM function do?**

DIM: It is used to return the number of elements in the array. When we use Dim function we would have to re –specify the stop value of an iterative DO statement if u change the dimension of the array.

**How would you determine the number of missing or nonmissing values in computations?**

To determine the number of missing values that are excluded in a computation, use the NMISS function.

data _null_;

m = . ;

y = 4 ;

z = 0 ;

N = N(m , y, z);

NMISS = NMISS (m , y, z);

run;

The above program results in N = 2 (Number of non-missing values) and NMISS = 1 (number of missing values).

data _null_;

m = . ;

y = 4 ;

z = 0 ;

N = N(m , y, z);

NMISS = NMISS (m , y, z);

run;

The above program results in N = 2 (Number of non-missing values) and NMISS = 1 (number of missing values).

**Do you need to know if there are any missing values?**

Just use: missing_values=MISSING(field1,field2,field3);

This function simply returns 0 if there aren’t any or 1 if there are missing values.If you need to know how many missing values you have then use num_missing=NMISS(field1,field2,field3);

You can also find the number of non-missing values with non_missing=N (field1,field2,field3);

This function simply returns 0 if there aren’t any or 1 if there are missing values.If you need to know how many missing values you have then use num_missing=NMISS(field1,field2,field3);

You can also find the number of non-missing values with non_missing=N (field1,field2,field3);

**What are the validation tools in SAS?**

For dataset: Data set name/debugData set: name/stmtchk

For macros: Options:mprint mlogic symbolgen.

For macros: Options:mprint mlogic symbolgen.

**How can you put a “trace” in your program?**

ODS Trace ON, ODS Trace OFF the trace records.

**How would you code a merge that will keep only the observations that have matches from both data sets?**

Using “IN” variable option. Look at the following example.

data three;

merge one(in=x) two(in=y);

by id;

if x=1 and y=1;

run;

*or;

data three;

merge one(in=x) two(in=y);

by id;

if x and y;

run;

data three;

merge one(in=x) two(in=y);

by id;

if x=1 and y=1;

run;

*or;

data three;

merge one(in=x) two(in=y);

by id;

if x and y;

run;

**What are the input dataset and output dataset options?**

Input data set options are obs, firstobs, where, in output data set options to compress, reuse. Both input and output dataset options include keep, drop, rename, obs, first obs.

**What is SAS GRAPH?**

SAS/GRAPH software creates and delivers accurate, high-impact visuals that enable decision makers to gain a quick understanding of critical business issues.