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Free A00-215 Exam, A00-215 Certification Exam Dumps

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q45-Q50):

NEW QUESTION # 45
Which assignment statement uses the SUBSTR function to extract the four-digit year from the value of date?
data days;
date="02Apr2019";
insert-statement-here
run;

A. year=substr (date, 6, 4) ;
O D) year=substr (date, 4, 7) ;
B. year=substr (date, 7, 4) ;
C. year=substr (date, 4, 6) ;

Answer: B

Explanation:
In SAS, the SUBSTR function is used to extract a substring from a character string. The function syntax is SUBSTR(string, position, length), where:
* string is the variable or string literal you want to extract the substring from.
* position is the starting position of the substring within string.
* position starts counting at 1 in SAS, not 0 as in some other languages.
* length is the number of characters to extract.
For the value of date provided ("02Apr2019"), we want to extract the year, which is the four characters at the end of the string.
Here's how each option would work given the string:
A) year=substr(date, 7, 4);This starts at the 7th character of the string ("2019") and extracts 4 characters, which correctly represents the year.
B) year=substr(date, 4, 6);This starts at the 4th character ("Apr2019") and would extract 6 characters, which gives us "Apr201", not just the year.
C) year=substr(date, 6, 4);This starts at the 6th character ("r2019") and would extract 4 characters, resulting in "r201", which is not correct.
D) year=substr(date, 4, 7);This starts at the 4th character and would extract 7 characters, resulting in " Apr2019", which is the whole string from the 4th character to the end, not just the year.
The correct answer is A, as it extracts the four-digit year from the end of the string.
References:
* The SAS documentation on the SUBSTR function, which details how to use it for extracting parts of strings.
* SAS programming tutorials that often provide examples of common functions like SUBSTR for string manipulation

NEW QUESTION # 46
Consider the following SAS code:

What is the order in which the statements in the DATA step are executed for a single record in the WORK.OLD DATA dataset?

A. SET statement, ELSE IF statement, ELSE IF statement, ELSE IF statement, ELSE statement, IF statement
B. SET statement, IF statement, IF statement, IF statement, IF statement
C. SET statement, IF statement, ELSE IF statement, ELSE IF statement, ELSE IF statement, ELSE statement, IF statement
D. SET statement, IF statement, IF statement, IF statement, IF statement, IF statement
E. SET statement, IF statement, ELSE IF statement, ELSE IF statement, ELSE IF statement, IF statement

Answer: C

Explanation:
The execution order within a SAS DATA step is as follows: 1. ,SET statement" This statement reads a record from the input dataset (WORK.OLD_DATA in this case) and assigns the values to the variables. 2. "IF/ELSE IF/ELSE statements": These statements are evaluated in order. In this code, the first set of IFIELSE IFIELSE statements evaluate the age variable, followed by the second set of IF/ELSE statements for the 'CITY variable. Therefore, for a single record, the execution order is as follows: 1. SET statement (read the record) 2. IF statement (AGE > 65) 3. ELSE IF statement (AGE > 40) 4. ELSE IF statement (AGE > 18) 5. ELSE IF statement (AGE > 18) 6. ELSE statement (no conditions match, AGE GROUP assigned 'Child') 7. IF statement (MISSING(CITY)).

NEW QUESTION # 47
You have a CSV file named 'sales_data.csv' with a header row containing the following columns: 'customer_id', 'product_name', 'purchase_date', 'quantity', 'price'. You want to import this file into a SAS dataset named 'SALES' with the following data types: 'customer_id' as a numeric variable, 'product_name' as a character variable of length 50, 'purchase date' as a date variable, 'quantity' as a numeric variable, and 'price' as a numeric variable. Which PROC IMPORT statement correctly achieves this?

Answer: A

Explanation:
The correct answer is ''E''. The 'GETNAMES=YES option specifies that the first row of the CSV file should be used as column names. 'DATAROW=I' specifies that the data starts from the first row This is important because the CSV file has a header row- 'DBMS=CSV specifies the type of file being imported. 'REPLACE ensures that the existing SAS dataset is replaced with the new data All other options are incorrect because they either omit important options or use incorrect values for the options.

NEW QUESTION # 48
You have a dataset with a character variable 'CITY' that currently has a length of 20 bytes. You need to shorten the length of the variable to 10 bytes, but only for records where the variable 'STATE' equals 'CA'. How would you achieve this in the DATA step using the LENGTH statement and conditional processing?

Answer: A

Explanation:
The correct answer is , The LENGTH statement is used to assign a new length to a character variable. In this case, we want to change the length of the 'CITY' variable to 10 bytes only when the 'STATE' variable equals 'CA'. The correct code snippet uses the IF statement to conditionally apply the LENGTH statement based on the value of 'STATE'- Option r, is incorrect because the LENGTH statement in SAS requires an assignment operator (z) and not a comparison operator Option is incorrect because it uses a dollar sign (S) after the variable name, which is not necessary for defining the length of a character variable. Options and are incorrect because they change the length of 'CITY' based on the value of 'STATE', but not in the way specified by the question. Option sets the length to 10 for 'CA' and 20 for all other states, while Option sets the length to 20 for 'CA' and 10 for all other states.

NEW QUESTION # 49
You are analyzing a SAS dataset with a variable 'CITY' of type character. You want to replace all missing values in 'CITY' with the value 'UNKNOWN' using a data step. Which code snippet correctly achieves this?

Answer: A

Explanation:
The correct answer is E. SAS uses a blank string (") to represent missing values for character variables. The code snippet checks for missing values by first trimming the string using 'trim()' function and then comparing the length of the trimmed string with 0. If the length is 0, it indicates a missing value, which is then replaced with 'UNKNOWN' Option A is incorrect because it compares the character variable 'CITY with a single period C. which is used for numeric missing values. Option B is incorrect because 'missing()' function only checks for numeric missing values. Option C is incorrect because it compares the 'CITY' with an empty string which is not always true for missing character values. Option D is incorrect because 'missing(city)' function only checks for numeric missing values and doesn't consider missing character values. This scenario demonstrates the importance of understanding how SAS handles missing values for character variables and how to properly identify and replace them.

NEW QUESTION # 50
......

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