SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Exam Questions Can Help You Gain Massive Knowledge of A00-215 Certification

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q143-Q148):

NEW QUESTION # 143
You submit a program and the SAS log is shown below:

Which statement is true regarding the submitted program?

A. The DATA step and PROC PRINT steps ran without errors.
B. The PROC SORT and PROC PRINT steps failed.
C. The error in the PROC SORT step caused the program to stop processing
D. All three steps ran successfully

Answer: C

NEW QUESTION # 144
You have a SAS data set named 'transactions' with variables 'transaction_id', 'product_id', 'quantity', and 'price'. You want to create a new data set called 'summary' that aggregates the total quantity and total value for each 'product id'. Which of the following code snippets correctly implements this aggregation?

Answer: A

Explanation:
The correct answer is D Here's why: 1. BY Statement The BY statement is used to group observations by 'product_id' to facilitate aggregation. This ensures that observations with the same 'product_id' are processed together. 2. SUM Function: The SUM function is used to calculate the total 'quantity' and 'total_value' for each product ID. 'total_quantity = sum(quantity);' calculates the sum of 'quantity' for each product II), and 'total_value = sum(price quantity);' calculates the sum of 'price' multiplied by 'quantity' for each product ID. Why other options are incorrect: - A While the code attempts to accumulate the totals within the DO blocks, it uses incorrect syntax for updating the variables. Using 'total_quantity + quantity' and 'total_value + price quantity' without an assignment operator (=) does not accumulate the values correctly. - B. The code uses incorrect syntax for updating the variables. Similar to option A, using 'total_quantity + quantity' and 'total_value + price quantity' without an assignment operator (z) does not accumulate the values correctly. - C: The code uses the SUM function incorrectly within the ELSE block- The SUM function is intended to be used with a list of values, not to increment existing variables. - E: The code uses the SUM function with incorrect arguments- 'total_quantity' and 'total_value' are not predefined variables in this context, and the SUM function does not work with variables in this way.

NEW QUESTION # 145
You have a dataset 'ORDERS' with variables 'ORDER ID', 'CUSTOMER ID', 'ORDER DATE', and 'TOTAL AMOUNT'. You want to create a dataset 'HIGH VALUE ORDERS' containing only observations from the 'ORDERS' dataset where the 'TOTAL AMOUNT' is greater than 5000 and the 'ORDER DATE' falls between '01JAN2023'd and '31 MAR2023d. Which of the following DATA step code snippets will achieve this?

Answer: D,E

Explanation:
Both options B and E correctly filter the observations based on the total amount and the order date. Option B uses the WHERE statement with the BETWEEN operator to filter the observations based on the order date, while Option E uses the IF statement with the BETWEEN operator and the OUTPUT statement to explicitly output the desired observations. Option A uses the IF statement but doesn't include the BETWEEN operator for the order date. Option C has incorrect logic for nested IF statements- Option D includes two WHERE statements, which isn't the correct syntax for filtering multiple conditions.

NEW QUESTION # 146
You have a dataset 'Sales' with variables 'Region', 'Product', and 'Quantity'. You want to create a two-way frequency table showing the distribution of 'Product' across different 'Region's. Which PROC FREQ statement with the CROSSLIST option correctly produces this table, where the rows represent 'Region' and columns represent 'Product'?

Answer: C

Explanation:
The 'CROSSLIST' option in PROC FREQ specifies that the first variable in the 'TABLES' statement will be displayed in the rows, and the second variable will be displayed in the columns- Therefore, 'TABLES RegionProduct / CROSSLIST will display 'Region' in rows and 'Product' in columns. Option B would reverse this arrangement Options C, D, and E are incorrect because they use different options and do not achieve the desired layout. Option C uses 'NOCOC which is not appropriate for controlling the layout in a cross-tabulation. Option D uses 'ROW , which is used to display the frequencies in the rows. Option E is incorrect because it uses 'OUT-FREQ OUT which specifies an output dataset for the frequencies, not a specific layout.

NEW QUESTION # 147
You have a dataset containing product information, including a variable named 'Category' with values such as 'Electronics', 'Clothing', 'Food', and 'Furniture'. You want to create a report that displays the total sales for each category, but you want to group 'Food' and 'Furniture' together under a new label 'Home & Living'. Which approach would you use?

A. PROC MEANS DATA=Your Data set; CLASS Category; VAR sales; LABEL Category = 'Home & Living' WHEN (Category='Food' OR Category='Furniture'); RUN;
B. PROC SUMMARY DATA-Your Data set; CLASS Category; VAR sales; OUTPUT OUT-Summary; LABEL Category = 'Home & Living' WHEN OR Category='Furniture'); RUN;
C. PROC REPORT DATA-Your Data set; CLASS Category; DEFINE Sales / SUM; LABEL Category = 'Home & Living' WHEN (Category='Food' OR Category-'Furniture'); RUN;
D. PROC SOL; SELECT SUM(Sales), CASE WHEN Category IN ('Food', 'Furniture') THEN 'Home & Living' ELSE Category END AS Category FROM Your Data set GROUP BY Category; RUN;
E. PROC PRINT DATA=Your Data set; LABEL Category = 'Home & Living' WHEN (Category='Food' OR Category-'Furniture'); RUN;

Answer: D

Explanation:
The correct answer is B. PROC SQL allows you to create a new variable that groups the desired categories using a CASE statement and the IN operator. The code 'SELECT SUM(Sales), CASE WHEN Category IN ('Food', 'Furniture') THEN 'Home & Living' ELSE Category END AS Category FROM YourDataset GROUP BY Category' groups the 'Food' and 'Furniture' categories under 'Home & Living' while maintaining the original 'Electronics' and 'Clothing' categories, calculating the total sales for each group. Option A is incorrect as the LABEL statement in PROC SUMMARY doesn't support the WHEN clause_ Option C is incorrect because PROC REPORT doesn't have the LABEL statement, and while it has WHEN clause, its used for defining attributes for report columns. Option D is incorrect as PROC PRINT is not suitable for grouping categories and calculating sums. Option E is incorrect as the LABEL statement in PROC MEANS only allows for assigning labels to existing values, not creating new groups.

NEW QUESTION # 148
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SAS CERTIFIED ASSOCIATE: PROGRAMMING FUNDAMENTALS USING SAS 9.4 EXAM QUESTIONS CAN HELP YOU GAIN MASSIVE KNOWLEDGE OF A00-215 CERTIFICATION

SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Exam Questions Can Help You Gain Massive Knowledge of A00-215 Certification