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SASInstitute A00-215 exam consists of 60 multiple-choice questions that need to be completed within 110 minutes. A00-215 exam is available in English and Japanese languages. A00-215 exam fee varies based on the country of the candidate, and it can be paid online using a credit card. The passing score for the SASInstitute A00-215 exam is 70%, and the results are available immediately after the exam.
To achieve the SASInstitute A00-215 certification, candidates must pass a 2-hour exam that consists of 65 multiple-choice questions. A00-215 Exam covers a wide range of topics, including SAS programming concepts, data manipulation techniques, and basic data analysis. Candidates must have a good understanding of SAS programming concepts, such as data types, variables, functions, and arrays, as well as basic data manipulation techniques, such as merging, sorting, and filtering data.
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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q113-Q118):
NEW QUESTION # 113
You are analyzing a dataset containing sales data for different regions. You need to create a new variable 'SalesCategory' that classifies sales into three categories: 'High' if sales are above $10,000, 'Medium' if sales are between $5,000 and $10,000, and 'Low' if sales are below $5,000. Which code snippet correctly implements this logic in the DATA step?
- A.
- B.
- C.
- D.
- E.
Answer: A
Explanation:
Option D is correct because it accurately implements the logic using the IF-THEN-ELSE statements. It correctly classifies sales based on the provided thresholds. The order of the conditions is essential to ensure the right category assignment. Option A assigns 'LOW when sales are between 5000 and 10000, which is incorrect. Option B assigns 'Medium' when sales are less than 5000, which is incorrect. Option C assigns 'Low' when sales are less than 5000, which is incorrect. Option E assigns 'Medium' when sales are less than 50007 which is incorrect.
NEW QUESTION # 114
Which of the following statements is TRUE regarding the creation of the PDV?
- A. The PDV is created at the time of the first OUTPUT statement in the DATA step.
- B. The PDV is created when a SAS data set is first read into the DATA step.
- C. The PDV is created at the start of the DATA step execution and remains throughout the entire execution.
- D. The PDV is dynamically created and modified as the DATA step reads observations and performs operations.
- E. The PDV is created at the time of the first SET statement in the DATA step.
Answer: D
Explanation:
The PDV is not created at a specific point like the beginning of the DATA step or the first SET or OUTPUT statement. It is dynamically built as needed. When the DATA step begins, the PDV doesnt exist. It is created as the DATA step encounters variables from the input dataset (using a SET or other input statement). The PDVs structure changes based on the variables being read and new variables being defined.
NEW QUESTION # 115
Consider the following DATA step code:
Which of the following statements are TRUE about the execution of this code? 1. The variable 'name' will be truncated to 10 characters during input. 2. The variable 'name' will be automatically padded with spaces if it is less than 10 characters. 3. The variable 'id' will be assigned a default length of 8 bytes. 4. The variable 'age' will be assigned a default length of 8 bytes. 5. The variable 'name' will be assigned a default length of 20 bytes.
- A. 1, 2, and 4
- B. 1 and 3
- C. 1, 2, and 5
- D. 1 and 2
- E. 2, 3, and 4
Answer: D
Explanation:
The LENGTH statement defines the length of a variable, and it only applies to the variables specifically listed in the LENGTH statement. Since there is no LENGTH statement in this code, the default behavior is applied. The default length for character variables is 20 bytes, but the input statement overrides this for the 'name' variable to 10 bytes. So 'name' will be truncated to 10 characters and padded with spaces if it is less than 10 characters. The default length for numeric variables is 8 bytes, so 'id' and 'age' will both be assigned a length of 8 bytes. Therefore, only options 1 and 2 are true.
NEW QUESTION # 116
You have a dataset 'SALES' with variables 'REGION', 'PRODUCT', and 'SALES AMOUNT'. You need to calculate the average sales amount for each region and product combination, but only for products with a total sales amount greater than 1000. Which code snippet achieves this correctly?
- A.
- B.
- C.
- D.
- E.
Answer: A
Explanation:
The correct answer is The 'last. PRODUCT statement ensures the calculation is performed only for the last observation of each product group. This allows for the correct summation of 'SALES_AMOUNT for the entire product group before applying the filter. The 'sum(of SALES_AMOUNT)' statement then calculates the sum for each group, and the 'mean(SALES AMOUNT)' calculates the average, outputting the result only if the total sales amount exceeds 1000. Option A uses 'sum(of SALES_AMOUNT)' incorrectly, and option B does not consider the total sales amount for each product before calculating the average. Options D and E use incorrect conditions to filter data.
NEW QUESTION # 117
You have a dataset with a variable 'PRICE' containing values like 12.99, 25.50, 18.75. You want to round these values down to the nearest dollar amount (e.g., 12.99 becomes 12). Which SAS function would you use?
- A. INT
- B. FLOOR
- C. CEIL
- D. ROUND
- E. TRUNC
Answer: B
Explanation:
The 'FLOOR' function specifically rounds a number down to the nearest integer- While 'INT' truncates, it might not always give the desired result for values like 12 99, which would become 12 instead of 12 'ROUND' would round to the nearest integer (13 in this case), 'CEIL' rounds up (13 in this case), and 'TRUNC' is not a standard SAS function.
NEW QUESTION # 118
......
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