Premium

Base SAS Certified Associate: Programming Fundamentals Using SAS Questions and Answers (Dumps and Practice Questions)



Question : The following SAS program is submitted:
data work.report;
set work.sales_info;
if qtr(sales_date) ge 3;
run;
The SAS data set WORK.SALES_INFO has one observation for each month in the year 2000 and the variable SALES_DATE which
contains a SAS date value for each of the twelve months.
How many of the original twelve observations in WORK.SALES_INFO are written to the WORK.REPORT data set?
: The following SAS program is submitted:
1. 2
2. 3
 3. Access Mostly Uused Products by 50000+ Subscribers
4. 9

Correct Answer : Get Lastest Questions and Answer :
Exp: The qtr function returns a value of 1-4 depending upon which quarter of the year the sales_date lies. Of the twelve months, three will be assigned qtr(sales_date) equal to 3,
and another three equal to 4, giving a total of 6 observations in the output.
QTR function returns a value of 1, 2, 3, or 4 from a SAS date value to indicate the quarter of the year in which a date value falls...here sales_date falls under 3rd quarter..and
remaining 4th quarter gives 6 obs in output




Question : The following SAS program is submitted:
data revenue;
set year_1;
var1 = mdy(1,15,1960);
run;
Which one of the following values does the variable named VAR1 contain?
: The following SAS program is submitted:
1. 14
2. 15
 3. Access Mostly Uused Products by 50000+ Subscribers
4. '1/15/1960'

Correct Answer : Get Lastest Questions and Answer :
Exp: The MDY function creates a SAS date value from numeric values that represent the month, day, and year.
For SAS certification we need to assume that YEARCUTOFF option is set to 1JAN1960. This date is represented as 0 in SAS date format. Now MDY function will change normal date to SAS
date, we are passing 15JAN1960 as the parameter to mdy which is 14th day from 1JAN1960, hence answer is option 1.




Question : The following SAS program is submitted:
data work.new;
mon = 3;
day = 23;
year = 2000;
date = mdy(mon,day,year);
run;
Which one of the following is the value of the DATE variable?
: The following SAS program is submitted:
1. a character string with the value '23mar2000'
2. a character string with the value '03/23/2000'
 3. Access Mostly Uused Products by 50000+ Subscribers
4. a numeric value of 3232000, which represents the SAS date value for March 23, 2000

Correct Answer : Get Lastest Questions and Answer :

Exp: mdy creates only SAS date value

so the Ans is:

3. Access Mostly Uused Products by 50000+ Subscribers




Related Questions

Question : You have defined a DATA step, which will be reading a raw file with the records in it. Each record has variables, and you will be
reading this 5 variables from the observation. Beginnning of the execution phase, you know the value for automatic variables _N_ is 1 and _ERROR_ is 0,
what about the values for other 5 variables?

 : You have defined a DATA step, which will be reading a raw file with the records in it. Each record has variables, and you will be
1. They all will be initialized with blank value

2. They all will be initialized with NULL values.

 3. Access Mostly Uused Products by 50000+ Subscribers

4. They all will be initialized with \n

5. They all will be initialized by missing values



Question :
:
1.
2.
3. Access Mostly Uused Products by 50000+ Subscribers
4.
Ans :2
Exp :


Question : After a SAS program is submitted, the following is written to the SAS log:

What changes should be made to keep the statement to correct the errors in the log?
:
1. keep product sales;
2. keep product, sales;
 3. Access Mostly Uused Products by 50000+ Subscribers
4. keep = (product sales);
Ans : 1
Exp :





Question : Which SAS statement correctly uses formatted input to read the values
in this order: Item (first field), UnitCost (second field), Quantity (third field)?
:
1. input @1 Item $9. +1 UnitCost comma6.
@18 Quantity 3.;
2. input Item $9. @11 UnitCost comma6.
@18 Quantity 3.;
 3. Access Mostly Uused Products by 50000+ Subscribers
@18 Quantity 3.;
4. all of the above
Ans : 4
Exp : The default location of the column pointer control is column 1, so a column pointer control is optional for reading the first field. You can use the @n or +n pointer
controls to specify the beginning column of the other fields. You can use the $w. informat to read the values for Item, the COMMAw.d informat for UnitCost, and the w.d informat
for Quantity.




Question :

Which raw data file requires the PAD option in
the INFILE statement in order to correctly read the
data using either column input or formatted input?
:
1. a
2. b
 3. Access Mostly Uused Products by 50000+ Subscribers
4. d
Ans : 1
Exp : Use the PAD option in the INFILE statement to read variable-length records that contain fixed-field data. The PAD option pads each record with blanks so that all data lines
have the same length.

Column input is useful for reading standard values only.

Column input enables you to read standard data values that are aligned in columns in the data records. Specify the variable name, followed by a dollar sign ($) if it is a character
variable, and specify the columns in which the data values are located in each record:
data scores;
infile datalines truncover;
input name $ 1-12 score2 17-20 score1 27-30;
datalines;
Riley 1132 987
Henderson 1015 1102
;
Note: Use the TRUNCOVER option in the INFILE statement to ensure that SAS handles data values of varying lengths appropriately. [cautionend]
To use column input, data values must be:
in the same field on all the input lines
in standard numeric or character form.
Note: You cannot use an informat with column input. [cautionend]
Features of column input include the following:
Character values can contain embedded blanks.
Character values can be from 1 to 32,767 characters long.
Placeholders, such as a single period (.), are not required for missing data.
Input values can be read in any order, regardless of their position in the record.
Values or parts of values can be reread.
Both leading and trailing blanks within the field are ignored.
Values do not need to be separated by blanks or other delimiters.

Formatted input combines the flexibility of using informats with many of the features of column input. By using formatted input, you can read nonstandard data for which SAS requires
additional instructions. Formatted input is typically used with pointer controls that enable you to control the position of the input pointer in the input buffer when you read data.
The INPUT statement in the following DATA step uses formatted input and pointer controls. Note that $12. and COMMA5. are informats and +4 and +6 are column pointer controls.



Question :
The raw data file referenced by the fileref Employee contains data that is
:
1. arranged in fixed fields
2. free-format
3. Access Mostly Uused Products by 50000+ Subscribers
4. arranged in columns
Ans : 2
Exp : The raw data file contains data that is free-format, meaning that the data is not arranged in columns or fixed fields.


Free-Format Data
External files can contain raw data that is free-format; that is, the data is not arranged in fixed fields. The fields can be separated by blanks, or by some other delimiter, such as
commas.

Using List Input
Free-format data can easily be read with list input because you do not need to specify column locations of the data. You simply list the variable names in the same order as the
corresponding raw data fields. You must distinguish character variables from numeric variables by using the dollar ($) sign.

When characters other than blanks are used to separate the data values, you can specify the field delimiter by using the DLM= option in the INFILE statement.

You can also specify a range of variables in the INPUT statement when the variable values in the raw data file are sequential and are separated by blanks (or by some other
delimiter). This is especially useful if your data contains similar variables, such as the answers to a questionnaire.

In its simplest form, list input places several limitations on the types of data that can be read.

Reading Missing Values
If your data contains missing values at the end of a record, you can use the INFILE statement with the MISSOVER option to prevent SAS from going to the next record to find the
missing values.

If your data contains missing values at the beginning or in the middle of a record, you might be able to use the DSD option in the INFILE statement to correctly read the raw data.
The DSD option sets the default delimiter to a comma and treats two consecutive delimiters as a missing value.

If the data uses multiple delimiters or a single delimiter other than a comma, you can use both the DSD option and the DLM= option in the INFILE statement.

The DSD option can also be used to read raw data when there is a missing value at the beginning of a record, as long as a delimiter precedes the first value in the record.


Question :
Which input style should be used to read the values
in the raw data file that is referenced by the fileref Employee?

:
1. column
2. formatted
3. Access Mostly Uused Products by 50000+ Subscribers
4. mixed
Ans : 3
Exp : List input should be used to read data that is free-format because you do not need to specify the column locations of the data.

Free-Format Data
External files can contain raw data that is free-format; that is, the data is not arranged in fixed fields. The fields can be separated by blanks, or by some other delimiter, such as
commas.

Using List Input
Free-format data can easily be read with list input because you do not need to specify column locations of the data. You simply list the variable names in the same order as the
corresponding raw data fields. You must distinguish character variables from numeric variables by using the dollar ($) sign.

When characters other than blanks are used to separate the data values, you can specify the field delimiter by using the DLM= option in the INFILE statement.

You can also specify a range of variables in the INPUT statement when the variable values in the raw data file are sequential and are separated by blanks (or by some other
delimiter). This is especially useful if your data contains similar variables, such as the answers to a questionnaire.

In its simplest form, list input places several limitations on the types of data that can be read.

Reading Missing Values
If your data contains missing values at the end of a record, you can use the INFILE statement with the MISSOVER option to prevent SAS from going to the next record to find the
missing values.

If your data contains missing values at the beginning or in the middle of a record, you might be able to use the DSD option in the INFILE statement to correctly read the raw data.
The DSD option sets the default delimiter to a comma and treats two consecutive delimiters as a missing value.

If the data uses multiple delimiters or a single delimiter other than a comma, you can use both the DSD option and the DLM= option in the INFILE statement.

The DSD option can also be used to read raw data when there is a missing value at the beginning of a record, as long as a delimiter precedes the first value in the record.


Question : Which SAS program was used to create the
raw data file hadoopexam from the SAS data set Work.Scores?
:
1. data _null_;
set work.scores;
file 'c:\data\hadoopexam' dlm=',';
put name highscore team;
run;
2. data _null_;
set work.scores;
file 'c:\data\hadoopexam' dlm=' ';
put name highscore team;
run;
 3. Access Mostly Uused Products by 50000+ Subscribers
set work.scores;
file 'c:\data\hadoopexam' dsd;
put name highscore team;
run;
4. data _null_;
set work.scores;
file 'c:\data\hadoopexam';
put name highscore team;
run;
Ans :3
Exp : You can use the DSD option in the FILE statement to specify that data values containing commas should be enclosed in quotation marks. The DSD option uses a comma as the
delimiter by default.

SAS does not properly recognize empty values for delimited data unless you use the dsd option. You need to use the dsd option on the infile statement if two consecutive delimiters
are used to indicate missing values (e.g., two consecutive commas, two consecutive tabs). Below, we read the exact same file again, except that we use the dsd option.

DATA cars2;
length make $ 20 ;
INFILE 'readdsd.txt' DELIMITER=',' DSD ;
INPUT make mpg weight price;
RUN;

PROC PRINT DATA=cars2;
RUN;


Question :

Which SAS statement reads the raw data values
in order and assigns them to the variables shown below?
Variables: FirstName (character), LastName (character),
Age (numeric), School (character), Class (numeric)
:
1. input FirstName $ LastName $ Age School $ Class;
2. input FirstName LastName Age School Class;
 3. Access Mostly Uused Products by 50000+ Subscribers
School $ 17-19 Class 21;
4. input FirstName 1-4 LastName 6-12 Age 14-15
School 17-19 Class 21;
Ans : 1
Exp : Because the data is free-format, list input is used to read the values. With list input, you simply name each variable and identify its type. Free-Format Data
External files can contain raw data that is free-format; that is, the data is not arranged in fixed fields. The fields can be separated by blanks, or by some other delimiter, such as
commas.

Using List Input
Free-format data can easily be read with list input because you do not need to specify column locations of the data. You simply list the variable names in the same order as the
corresponding raw data fields. You must distinguish character variables from numeric variables by using the dollar ($) sign.

When characters other than blanks are used to separate the data values, you can specify the field delimiter by using the DLM= option in the INFILE statement.

You can also specify a range of variables in the INPUT statement when the variable values in the raw data file are sequential and are separated by blanks (or by some other
delimiter). This is especially useful if your data contains similar variables, such as the answers to a questionnaire.

In its simplest form, list input places several limitations on the types of data that can be read.

Reading Missing Values
If your data contains missing values at the end of a record, you can use the INFILE statement with the MISSOVER option to prevent SAS from going to the next record to find the
missing values.

If your data contains missing values at the beginning or in the middle of a record, you might be able to use the DSD option in the INFILE statement to correctly read the raw data.
The DSD option sets the default delimiter to a comma and treats two consecutive delimiters as a missing value.

If the data uses multiple delimiters or a single delimiter other than a comma, you can use both the DSD option and the DLM= option in the INFILE statement.

The DSD option can also be used to read raw data when there is a missing value at the beginning of a record, as long as a delimiter precedes the first value in the record.


Question :

Which SAS statement should be used to read the
raw data file that is referenced by the fileref Hadoopexamsale?
:
1. infile hadoopexamsale;
2. infile hadoopexamsale ':';
 3. Access Mostly Uused Products by 50000+ Subscribers
4. infile hadoopexamsale dlm=':';


Question :
Which of the following raw data files can be
read by using the MISSOVER option in the INFILE
statement? Spaces for missing values are highlighted
with gray blocks.
 :
1.
2.
3. Access Mostly Uused Products by 50000+ Subscribers
4.
Ans :1
Exp : You can use the MISSOVER option in the INFILE statement to read the missing values at the end of a record. The MISSOVER option prevents SAS from moving to the next record if
values are missing in the current record. The INFILE statement identifies the location of the external data file. The DLM= option specifies the colon (:) as the delimiter that
separates each field.
Infile options : For more complicated file layouts, refer to the infile options described below.

DLM=
The dlm= option can be used to specify the delimiter that separates the variables in your raw data file. For example, dlm=','indicates a comma is the delimiter (e.g., a comma
separated file, .csv file). Or, dlm='09'x indicates that tabs are used to separate your variables (e.g., a tab separated file).

DSD
The dsd option has 2 functions. First, it recognizes two consecutive delimiters as a missing value. For example, if your file contained the line 20,30,,50 SAS will treat this as 20
30 50 but with the dsd option SAS will treat it as 20 30 . 50 , which is probably what you intended. Second, it allows you to include the delimiter within quoted strings. For
example, you would want to use the dsd option if you had a comma separated file and your data included values like "George Bush, Jr.". With the dsd option, SAS will recognize that
the comma in "George Bush, Jr." is part of the name, and not a separator indicating a new variable.

FIRSTOBS=
This option tells SAS what on what line you want it to start reading your raw data file. If the first record(s) contains header information such as variable names, then set
firstobs=n where n is the record number where the data actually begin. For example, if you are reading a comma separated file or a tab separated file that has the variable names on
the first line, then use firstobs=2 to tell SAS to begin reading at the second line (so it will ignore the first line with the names of the variables).

MISSOVER
This option prevents SAS from going to a new input line if it does not find values for all of the variables in the current line of data. For example, you may be reading a space
delimited file and that is supposed to have 10 values per line, but one of the line had only 9 values. Without the missover option, SAS will look for the 10th value on the next line
of data. If your data is supposed to only have one observation for each line of raw data, then this could cause errors throughout the rest of your data file. If you have a raw data
file that has one record per line, this option is a prudent method of trying to keep such errors from cascading through the rest of your data file.

OBS=
Indicates which line in your raw data file should be treated as the last record to be read by SAS. This is a good option to use for testing your program. For example, you might use
obs=100 to just read in the first 100 lines of data while you are testing your program. When you want to read the entire file, you can remove the obs= option entirely.

A typical infile statement for reading a comma delimited file that contains the variable names in the first line of data would be:

INFILE "test.txt" DLM=',' DSD MISSOVER FIRSTOBS=2 ;



Question :
Which SAS program correctly reads the data in the raw data file that is referenced by the fileref Hadoopexam ?
:
1. . data perm.contest;
infile hadoopexam;
input FirstName $ LastName $ Age
School $ Class;
run;
2. data perm.contest;
infile hadoopexam;
length LastName $ 11;
input FirstName $ lastname $ Age
School $ Class;
run;
 3. Access Mostly Uused Products by 50000+ Subscribers
infile hadoopexam;
input FirstName $ lastname $ Age
School $ Class; length LastName $ 11;
run;
4. data perm.contest;
infile hadoopexam;
input FirstName $ LastName $ 11. Age
School $ Class;
run;
Ans 2
Exp :The LENGTH statement extends the length of the character variable LastName so that it is large enough to accommodate the data. Variable attributes such as length are defined the
first time a variable is named in a DATA step. The LENGTH statement should precede the INPUT statement so that the correct length is defined.
In general, the length of a variable depends on
whether the variable is numeric or character
how the variable was created
whether a LENGTH or ATTRIB statement is present.
Subject to the rules for assigning lengths, lengths that are assigned with the LENGTH statement can be changed in the ATTRIB statement and vice versa.



Question :

Which type of input should be used to read the values in the
raw data file that is referenced by the fileref University?

:
1. column
2. formatted
3. Access Mostly Uused Products by 50000+ Subscribers
4. modified list

Ans : 4
Exp : Notice that the values for School contain embedded blanks, and the values for Enrolled are nonstandard numeric values. Modified list input can be used to read the values that
contain embedded blanks and nonstandard values.


Question :
Which SAS statement correctly reads the values
for Flavor and Quantity? Make sure the length of each variable can accommodate the values shown.
:
1. input Flavor & $9. Quantity : comma.;
2. input Flavor & $14. Quantity : comma.;
 3. Access Mostly Uused Products by 50000+ Subscribers
4. input Flavor $14. Quantity : comma.;
Ans :2
Exp : The INPUT statement uses list input with format modifiers and informats to read the values for each variable. The ampersand modifier enables you to read character values that
contain single embedded blanks. The colon (:) modifier enables you to read nonstandard data values and character values that are longer than eight characters, but which contain no
embedded blanks.



Question :
Which SAS statement correctly reads the raw data values in order
and assigns them to these corresponding variables:
Year (numeric), School (character), Enrolled (numeric)?
:
1. input Year School & $27.
Enrolled : comma.;

2. input Year 1-4 School & $27.
Enrolled : comma.;

 3. Access Mostly Uused Products by 50000+ Subscribers
Enrolled : comma.;


4. all of the above
Ans : 4
Exp : The values for Year can be read with column, formatted, or list input.
However, the values for School and Enrolled are free-format data that contain embedded blanks
or nonstandard values. Therefore, these last two variables must be read with modified list input.


Question : You have written a SAS program which will read a RAW data file containing records, after running the entire DATA steps you know there
could be 5 errors records. What will be the value of Automatic variable _ERROR_, once data step completed?

:
1. 0

2. 1

 3. Access Mostly Uused Products by 50000+ Subscribers

4. Missing



Question : You have written a SAS data step, and you know that you will be reading lines from a raw file in this data step. Now there will be
iteration during the execution phase of data step. What is the correct with regards to beginning of each data step?

 : You have written a SAS data step, and you know that you will be reading lines from a raw file in this data step. Now there will be
1. Both the automatic variable _N_ and _ERROR_ will be set to missing values.

2. Both the automatic variable _N_ and _ERROR_ will be set to 0.

 3. Access Mostly Uused Products by 50000+ Subscribers

4. All the variables, which are part of observation will be set to missing.



Question : You have been given below SAS program
data HADOOPEXAM ;
infile "/folders/myfolders/hedata/filtered1.dat";
input COURSE_ID 1-3 COURSE_NAME$ 5-20 LOCATION$ 22-30 FEE 32-35 DATE$ 36-47
DURATION 48-50;
Total_FEE=FEE+FEE*18/100;
file print;
put COURSE_NAME Total_FEE COURSE_ID LOCATION$ FEE DATE DURATION;
run;

In which order the variables will be stored in SAS data set?


 : You have been given below SAS program
1. COURSE_NAME Total_FEE COURSE_ID LOCATION$ FEE DATE DURATION

2. Total_FEE COURSE_ID LOCATION$ FEE DATE DURATION COURSE_NAME

 3. Access Mostly Uused Products by 50000+ Subscribers

4. COURSE_NAME COURSE_ID LOCATION$ FEE DATE DURATION Total_FEE



Question : You have written a SAS code, which is being reviewed by one of the peer member in your team, and he told that this code has syntax error,
but SAS compiler cannot find it, what would happen, once you run the program?

 : You have written a SAS code, which is being reviewed by one of the peer member in your team, and he told that this code has syntax error,
1. All the variable will be initialized with the missing values.

2. All the observation once the program executed will have missing values.

 3. Access Mostly Uused Products by 50000+ Subscribers

4. Program will not be able to execute