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A00-215 Official Practice Test | A00-215 Valid Test Fee
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SASInstitute A00-215 exam, also known as the SAS Certified Associate: Programming Fundamentals Using SAS 9.4, is designed for individuals who want to demonstrate their proficiency in programming with the SAS software. A00-215 Exam focuses on the essential skills required to create and modify SAS programs to access, manage, and manipulate data.
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The SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is ideal for individuals who are starting their career in data analytics and want to acquire knowledge and skills in SAS programming. Individuals who are preparing for the exam will benefit from training courses and resources provided by SASInstitute. With an SAS Certification, professionals can demonstrate their proficiency in SAS programming to potential employers, and hence, increase their chances of employment in the data analytics field.
SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q372-Q377):
NEW QUESTION # 372
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.)
- A.
- B.
- C.
- D.
- E.
Answer: E
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 # 373
A SAS programmer is analyzing a dataset containing customer demographics. They want to create a new variable called 'AgeGroup' that categorizes customers into three groups based on their age: 'Young' (18-30), 'Middle-Aged' (31-50), and 'Senior' (51 +). Which of the following statements correctly illustrates the use of the LENGTH statement and the IF-THEN/ELSE logic within the DATA step to achieve this?
- A.
- B.
- C.
- D.
- E.
Answer: E
Explanation:
Option A is the only correct answer. It correctly uses the LENGTH statement to define the length of the 'AgeGroup' variable as 10 characters. The IF-THEN/ELSE logic is also correctly implemented to categorize customers into the three age groups. Option B uses the LENGTH statement without specifying a length, which will default to 8 characters. Options C, D, and E have incorrect logic for the age ranges.
NEW QUESTION # 374
You have a dataset 'ORDERS' with variables 'ORDER ID', 'CUSTOMER ID', 'ORDER DATE', and 'TOTAL AMOUNT'. You need to sort the data by 'ORDER DATE' in ascending order and then by 'TOTAL AMOUNT' in descending order within each 'CUSTOMER ID'. Which PROC SORT statement achieves this?
- A.
- B.
- C.
- D.
- E.
Answer: C
Explanation:
The BY statement in PROC SORT allows for multiple variables to be used in a hierarchical manner, enabling sorting within groups. Option B correctly specifies the sorting order: first by 'CUSTOMER_ID', then by 'ORDER_DATE ascending within each 'CUSTOMER_ID', and finally by 'TOTAL_AMOUNT' descending within each 'CUSTOMER_ID'. Option A sorts by 'ORDER_DATE' and 'TOTAL_AMOUNT without considering 'CUSTOMER_ID', while options C, D, and E have incorrect orderings or lack the necessary grouping. Option B is the only option that achieves the desired sorting.
NEW QUESTION # 375
You have a dataset named 'ORDERS' with variables 'ORDER ID', 'CUSTOMER ID', 'ORDER DATE', and 'PRODUCT ID'. You need to sort the dataset based on 'ORDER DATE' in descending order, but only for orders where 'PRODUCT ID' is either 'A 123' or 'B456'. You also need to create a new dataset named 'SORTED ORDERS' containing the sorted dat a. Which PROC SORT statements would achieve this? (Select all that apply)
- A.
- B.
- C.
- D.
- E.
Answer: B,C,E
Explanation:
Options A, B, and E are correct. They all use the 'WHERE statement to filter the data based on the 'PRODUCT_ID condition and then sort the filtered data by 'ORDER_DATE in descending order. Options A and E achieve the same outcome using different syntax: Option A uses separate conditions with while Option E uses the ' IN' operator to specify the desired values. Option B is incorrect as it uses the statement instead of the 'WHERE statement for filtering, which is not supported in PROC SORT. Option D is incorrect as it uses the statement with the '(DESCENDING)' option, which is not the recommended way to specify the sorting order The correct syntax is to use the 'DESCENDING' keyword directly after the variable name in the 'BY statement.
NEW QUESTION # 376
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: A
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 # 377
......
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