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Valid A00-215 Study Plan, Valid A00-215 Test Syllabus

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q11-Q16):

NEW QUESTION # 11
Consider the following DATA step code:

During the compilation and execution of this DATA step, which of the following statements accurately describes the state of the Program Data Vector (PDV) when the IF-THEN-DO block is evaluated for a specific observation with age = 70 and income = 120000?

A. The PDV contains the original values of age and income from work.old_dataset, and the variables age_group and income_group are not yet defined.
B. The PDV contains only the updated values of age and income (70 and 120000 respectively) as the IF-THEN-DO block is evaluated before the SET statement.
C. The PDV contains the updated values of age and income (70 and 120000 respectively), and age_group is assigned 'Senior' while income_group is still undefined.
D. The PDV contains the updated values of age and income (70 and 120000 respectively), and both age_group is assigned 'Senior' and income_group is assigned 'High'
E. The PDV contains the original values of age and income from work.old_dataset, and only the variable age_group is defined and assigned 'Senior'.

Answer: D

Explanation:
Here's why: 1. SET Statement: The SET statement reads the observation from work.old_dataset into the PDV The variables age and income are assigned their values from the observation. 2. IF- THEN-DO Block: The IF statement evaluates the condition 'age > 65'. Since age is 70, the condition is true, and the DO block is executed. 3. Variable Assignment: Inside the DO block, 'age_group' is assigned the value 'Senior' based on the age being greater than 65. The second IF statement checks if income is greater than 100000. This condition is also true, so is assigned 'High'. 4. PDV State: The PDV now contains the original values of age and income, along with the newly assigned values for age_group and income_group. Options A, B, D, and E are incorrect because they either miss the assignment of income_group, misinterpret the order of execution of the statements, or incorrectly assume the PDV does not contain the updated values after the assignment statements are executed.

NEW QUESTION # 12
You are tasked with creating a SAS program to calculate the average salary of employees in a department. Your program should include a 'WHERE' clause to filter for employees in the 'Sales' department. However, when you run the program, the output shows the average salary of all employees, not just those in the 'Sales' department. Which of the following is the most likely cause of this problem? Select all that apply.

A. The variable in the 'WHERE clause is not formatted correctly for the data type.
B. The 'WHERE clause is placed after the 'PROC SQL' statement.
C. The variable used in the 'WHERE clause is misspelled.
D. The data in the table is corrupted, and the 'Sales' department is not properly represented.
E. The "WHERE clause is missing a semicolon.

Answer: A,C

Explanation:
The most likely causes of this problem are: ' ''B:'' A misspelling in the variable name within the 'WHERE clause would cause SAS to treat it as a different variable or an undefined variable, resulting in the condition not being correctly applied. ' If the variable used in the 'WHERE' clause is not formatted correctly for its data type (e_g., using a numeric variable in a text comparison or vice versa), it could lead to unexpected results. Let's discuss why the other options are less likely: ' ''A.'' The placement of the 'WHERE clause within a 'PROC SQC statement is generally after the 'FROM' clause, and it should be correctly placed in the query. ' ''C:'' While semicolons are necessary to end SAS statements, missing a semicolon within the "WHERE clause itself would likely lead to a syntax error rather than a condition not being evaluated. ' Data corruption could potentially cause problems, but it's less likely to be the primary issue if the program's logic is incorrect

NEW QUESTION # 13
You have a dataset 'ProductData' with variables 'ProductlD', 'ProductName', 'Price', 'Quantity', and 'Category'. You need to update the 'Price' variable based on the following criteria: 1. If 'Category' is 'Electronics' and 'Quantity' is greater than 10, apply a 10% discount on the 'Price'. 2. If 'Category' is 'Books' and 'Price' is greater than 50, apply a 5% discount on the 'Price'. 3. Otherwise, leave the 'Price' unchanged. Which of the following DATA step code snippets will achieve this correctly?

Answer: C

Explanation:
Option E is the correct code snippet as it uses nested IF-THEN/ELSE statements and explicitly handles the 'else' condition to leave the 'Price' unchanged if the discount criteria are not met Options A and B only apply discounts and miss the 'else' condition. Options C and D have unnecessary 'else' statements that could lead to unexpected behavior- The 'else' statement ensures the original 'Price' is maintained if no discounts are applied.

NEW QUESTION # 14
You are analyzing a dataset containing customer feedback on a new product. You want to generate a two-way frequency table displaying the relationship between customer age (categorized as 'Young', 'Middle-Aged', and 'Senior') and feedback rating (categorized as 'Excellent', 'Good', 'Fair', 'Poor'). You want to control the layout of the table to have customer age on the rows and feedback rating on the columns, and also include both row and column percentages. Which of the following PROC FREQ statements would achieve this? (Select all that apply.)

Answer: A

Explanation:
The correct code is: 'PROC FREQ DATA=Feedback; TABLE AgeRating / CROSSLIST ROWPCT COLPCT RUN; ' The option ensures the table is displayed with Age on rows and Rating on columns. The ROWPCT option calculates and displays row percentages for each age group across different rating categories- The 'COLPCT option calculates and displays column percentages for each rating category across different age groups- This provides a comprehensive view of feedback patterns across different age groups and rating categories.

NEW QUESTION # 15
Given the partial shown below:

Which step will produce this report?

A. proc freq data= sashelp, shoes order=freq;
table region product / crosalist
run;
B. proc freq data=sashelp. shoes
data=sashelp.shoes; region product / list
run;
C. proc freq data=sashelp.shoes;
tables region*producc / cross run;
D. proc freq data=sashelp.shoes order=freq;
tables region*product / list;
run;

Answer: A

NEW QUESTION # 16
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