A00-215 Test Price & Test A00-215 Questions Pdf
A00-215 Test Price & Test A00-215 Questions Pdf
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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q115-Q120):
NEW QUESTION # 115
Consider the following SAS code:
Which of the following statements are TRUE about the behavior of the PDV during the execution of the code? (Select all that apply)
- A. The PDV contains all the variables from both work-old data and work. new data datasets.
- B. The PDV is dynamically modified with the new_var value within the DO loop based on the IF condition.
- C. The PDV is cleared after each observation is processed, and a new PDV is created for the subsequent observation.
- D. The PDV is populated with the values from the first observation of work.old_data when the SET statement is encountered.
- E. The value of 'new_var' is assigned to the PDV only after the OUTPUT statement executes.
Answer: B,C,D
Explanation:
The PDV is a temporary workspace holding the current observation being processed ' '' '' . B : The PDV is populated with the values from the first observation of work.old_data when the SET statement is encountered, as it reads the first observation into the PDV ' ''C'': The PDV is dynamically modified with the new_var value within the DO loop based on the IF condition. It assigns different values to new_var depending on the outcome of the IF condition. ' ''D'': After each observation is processed, the PDV is cleared. A new PDV is created for the next observation as the DATA step reads the subsequent observation from the input dataset. The incorrect options are: ' ''A'': The value of 'new_var' is assigned to the PDV before the OUTPUT statement executes, within the DO loop based on the IF condition. E . The PDV does not contain variables from the output dataset (work.new_data). It only holds variables from the input dataset and newly created variables.
NEW QUESTION # 116
You have a dataset 'SalesData' with a variable 'ProductName' that contains lengthy product names. You want to modify the display of the 'ProductName' variable in output reports, replacing the word 'Product' with 'Item' while maintaining the original variable name 'ProductName'. Which SAS statement(s) would achieve this?
- A.
- B.
- C.
- D.
- E.
Answer: C
Explanation:
Option D is the correct solution. Using the 'LABEL' statement within 'PROC DATASETS' and 'MODIFY' allows you to permanently change the display name of the 'ProductName' variable without altering the actual variable name. Option A is incorrect because it attempts to rename the variable, which would permanently change the variable name itself_ Option B is incorrect because it uses the 'LABEL' statement in a 'DATA' step, resulting in temporary label assignment Option C is incorrect because it applies the label within a 'PROC PRINT' step, which only changes the display name within that specific procedure and does not persist in the dataset. Option E is incorrect because it permanently modifies the value of the 'ProductName' variable by replacing 'Product' with 'Item' within the data itself, rather than just changing the display name. This question tests your understanding of using the 'LABEL' statement to control the display name of variables in reports without altering the variable names or data values. It highlights the distinction between temporary and permanent changes within SAS-
NEW QUESTION # 117
You have a dataset with a variable named 'SALES AMOUNT representing the sales value. You want to create a new variable 'SALES CATEGORY' that categorizes sales into 'Low', 'Medium', and 'High' based on the following criteria: Low: SALES AMOUNT < 1000 Medium: 1000 <= SALES AMOUNT < 5000 High: SALES AMOUNT >= 5000 Which of the following DATA step code segments will correctly accomplish this task?
- A.
- B.
- C.
- D.
- E.
Answer: D
Explanation:
Option B is the only correct code segment. The IF-THEN-ELSE statements are correctly structured to cover all possible scenarios of the sales amount. Option A has incorrect logic for the 'Medium' category as it only checks if SALES AMOUNT is less than 5000, not also greater than or equal to 1000. Option C is incorrect because 'elseif is not a valid keyword in SAS, it should be 'else if. Option D has redundant 'else if statements and is not efficient. Option E has the same problem as option C with the use of 'elseif instead of 'else if. Therefore, only Option B correctly categorizes sales based on the provided criteria.
NEW QUESTION # 118
Which statement is true about the SUM statement?
- A. Multiple accumulating variables can be created with one SUM statement.
- B. The SUM statement ignores missing values.
- C. By default, the accumulating variable is initialized to 1.
- D. The SUM statement includes an equal sign.
Answer: B
Explanation:
The SUM statement in SAS is used to sum values across observations, adding the value of the expression on the right side of the statement to the variable on the left. It does not use an equal sign (eliminating A), only one variable can be on the left-hand side of a SUM statement (eliminating B), and it is not initialized to 1 by default (eliminating D). What makes the SUM statement particularly useful is that it ignores missing values when summing across observations, which means that missing values do not affect the sum (option C is correct).
References:
* SAS documentation on the SUM statement, SAS Institute.
NEW QUESTION # 119
You are tasked with importing a CSV file containing financial dat
a. The file has a header row, but some columns have missing values represented by empty strings. You want to import these missing values as SAS missing values (.) rather than empty strings. Which PROC IMPORT option would you use to achieve this?
- A. GUESSINGROWS=MAX
- B. OUT=dataset
- C. REPLACE-YES
- D. MISSING-YES
- E. DBMS=CSV
Answer: D
Explanation:
The option tells PROC IMPORT to treat empty strings as missing values. The other options are not relevant to handling missing values: OUT=dataset specifies the output dataset name, DBMS=CSV indicates the file type, REPLACE=YES ovenvrites existing datasets, GUESSINGROWS=MAX specifies the maximum number of rows to use for guessing data types, and tells PROC IMPORT to use all rows to infer data types.
NEW QUESTION # 120
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