100% Pass A00-215 - Professional Test SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Question

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SASInstitute A00-215 Certification Exam is designed to test the skills and knowledge of individuals in SAS programming. A00-215 exam includes 70 multiple-choice questions, and candidates have 110 minutes to complete the test. The topics covered in the exam include SAS programming fundamentals, data manipulation, data analysis, and reporting. Passing the exam requires a score of at least 70%, and the certification is valid for three years.

SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q190-Q195):

NEW QUESTION # 190
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 SUMMARY DATA-Your Data set; CLASS Category; VAR sales; OUTPUT OUT-Summary; LABEL Category = 'Home & Living' WHEN OR Category='Furniture'); RUN;
B. PROC PRINT DATA=Your Data set; LABEL Category = 'Home & Living' WHEN (Category='Food' 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 MEANS DATA=Your Data set; CLASS Category; VAR sales; LABEL Category = 'Home & Living' WHEN (Category='Food' OR Category='Furniture'); RUN;
E. 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;

Answer: E

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 # 191
You have a SAS dataset with a variable 'DATE VAR' containing dates stored as numeric values. You need to create a new variable 'DATE DISPLAY' that displays the date in the format 'DDMONYY' (e.g., 25JUL2023). Which SAS code snippet correctly achieves this?

Answer: E

Explanation:
The function is used to format numeric date values into character strings. The format 'ddmonyy8.' specifies the desired display format 'DDMONYY'. Option A uses 'date9.' which is a date format but doesn't match the required 'DDMONYY' format. Option B uses 'yymmdd10.' which is a year-month-day format. Option D uses 'ddmmyy10.' which is also a date format but doesn't align with 'DDMONYY'. Option E uses 'date7.' which is another date format but not the desired format.

NEW QUESTION # 192
Given the SAS data set WORK PRODUCTS:

How many variables does the WORK REVENUE data set contains?

A. 0
B. 1
C. 2
D. 3

Answer: A

Explanation:
The resulting WORK.REVENUE data set contains 3 variables. In the provided SAS program, the set statement uses a (keep=) option to keep only 3 variables from WORK.PRODUCTS, which are ProdId, Price, and Sales. The drop= data set option in the data statement specifies to drop the Sales and Returns variables from the output data set. However, Returns was not included in the keep= option, so it won't be part of WORK.REVENUE to begin with. Finally, a new variable Revenue is calculated and included in the data set. Therefore, the final data set contains the variables ProdId, Price, and Revenue.
References:
* SAS documentation on keep= and drop= data set options.

NEW QUESTION # 193
You have a dataset with a variable called 'SALES' that contains both positive and negative values. You want to create a new variable called 'SALES ABS' that contains the absolute value of 'SALES'. Which of the following SAS code snippets will achieve this correctly?

Answer: A,C,D

Explanation:
The correct answers are A, B, and E. Option A uses the built-in ABS function, which directly calculates the absolute value. Option B uses an IF-THEN-ELSE statement to achieve the same result, manually checking the sign and adjusting accordingly. Option E utilizes the square root of the square of the value, which also effectively produces the absolute value. Option C, SUM function, would simply add the value to its negative, resulting in zero for all values. Option D, MAX function, would return the original value if it's positive, and the negative value if it's negative, not the absolute value. It's important to understand the different ways to achieve the same result and choose the most efficient and readable solution based on context.

NEW QUESTION # 194
You have a dataset 'CustomerData' with variables 'CustomerlD', 'Age', and 'Income'. You want to create a new dataset 'CustomerSegments' with 'CustomerlD' and 'Segment' variables. The 'Segment' variable should be assigned based on the following rules: 1. If 'Age' is less than 30 and 'Income' is greater than 50,000, assign 'Young Professionals'. 2. If 'Age' is between 30 and 50 and 'Income' is greater than 75,000, assign 'Mid-Career Earners'. 3. If 'Age' is greater than 50 and 'Income' is greater than 100,000, assign 'Senior Executives'. 4. For all other cases, assign 'Other'. Which of the following code snippets will produce the correct 'CustomerSegments' dataset?

Answer: D

Explanation:
Option B is the correct code snippet as it accurately applies the conditional logic. It uses nested IF- THEN/ELSE statements to capture the multiple conditions based on 'Age' and 'Income', and the 'Segment' is assigned appropriately based on the rules. Options A, C, and D have incorrect conditions or miss some of the specified logic. Option E correctly uses 'output' but is not needed in this case as the default behavior in the DATA step is to output the data.

NEW QUESTION # 195
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100% PASS A00-215 - PROFESSIONAL TEST SAS CERTIFIED ASSOCIATE: PROGRAMMING FUNDAMENTALS USING SAS 9.4 QUESTION

100% Pass A00-215 - Professional Test SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Question