HOT A00-215 DUMPS VCE - HIGH PASS-RATE SASINSTITUTE A00-215 VALID BRAINDUMPS BOOK: SAS CERTIFIED ASSOCIATE: PROGRAMMING FUNDAMENTALS USING SAS 9.4

HOT A00-215 Dumps Vce - High Pass-Rate SASInstitute A00-215 Valid Braindumps Book: SAS Certified Associate: Programming Fundamentals Using SAS 9.4

HOT A00-215 Dumps Vce - High Pass-Rate SASInstitute A00-215 Valid Braindumps Book: SAS Certified Associate: Programming Fundamentals Using SAS 9.4

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q133-Q138):

NEW QUESTION # 133
You have a dataset with a variable 'Age' representing customer ages in years. You want to present this data in a report with age categories like Young Adult' (18-25), 'Adult' (26-45), 'Middle-Aged' (46-65), and 'Senior' (66+). Which of the following approaches is the most effective for applying the correct age category label using the FORMAT statement for temporary attributes?

  • A. Create a custom format using a macro that dynamically defines the age category based on the 'Age' value.
  • B. Use a single FORMAT statement with a series of nested IF statements to determine the appropriate age category based on the value of 'Age'
  • C. Use a separate FORMAT statement for each age category defining the range within each format definition-
  • D. Use a PROC FORMAT step to create a permanent format mapping age ranges to category labels, and apply this format to the 'Age'
  • E. variable.Use a SAS data step to create a new variable representing the age category using the IF-THEN/ELSE statements and assign the appropriate label to the variable.

Answer: A

Explanation:
The most effective approach is to create a custom format using a macro that dynamically defines the age category based on the 'Age' value. This allows for easy modification of the age ranges and category labels without changing the main program logic. While other methods like separate FORMAT statements or nested IF statements are possible, they lack flexibility and can become cumbersome with multiple categories. Creating a permanent format in PROC FORMAT is suitable for consistent age categorization across multiple reports, but it requires a separate step and may not be ideal for changing age categories. Using a SAS data step with IF-THEN/ELSE statements is another viable option, but it adds an extra step to the data processing. Therefore, option C, using a custom format with a macro, offers the best combination of efficiency and flexibility.


NEW QUESTION # 134
You have a dataset containing a variable 'Product_Code' with values like 'ABCI 234', 'DEF5678', 'GH19012'. You want to extract the first 3 characters of each product code and store them in a new variable 'Product Category'. Which code snippet correctly achieves this using the SUBSTR function?

  • A.
  • B.
  • C.
  • D.
  • E.

Answer: E

Explanation:
Here's the explanation: , 1, extracts a substring from 'Product_Code' starting at position 1 (the first character) and continuing for 3 characters, resulting in the first 3 characters of the product code. Option B extracts only the 3rd character of the string. Option C extracts the substring starting from the 3rd character until the end of the string, which is not what's required. Option D extracts the substring starting from the 1st character and ending 3 characters before the end of the string, resulting in the first 3 characters being extracted. Option E is the correct answer. Only option A correctly extracts the first 3 characters.


NEW QUESTION # 135
You have three datasets: 'ORDERS', 'CUSTOMERS', and 'PRODUCTS', all sharing the same 'CUSTOMER ID' and 'PRODUCT ID' variables. You need to create a combined dataset with customer information and product details for every order in 'ORDERS'. What is the correct sequence of MERGE statements to achieve this?

  • A.
  • B.
  • C.
  • D.
  • E.

Answer: B

Explanation:
It first combines 'ORDERS' and 'CUSTOMERS' based on 'CUSTOMER_ID' then merges the resulting dataset with 'PRODUCTS' using 'PRODUCT ID'. This approach ensures that each order record is combined with the corresponding customer and product information.


NEW QUESTION # 136
You have a SAS dataset named 'SALES' with variables 'Region', 'Product', 'Quantity', and 'Price'. You want to create a report that displays only the 'Region' and 'Quantity' variables, but sorted in descending order of 'Quantity'. Which PROC PRINT statement achieves this?

  • A.
  • B.
  • C.
  • D.
  • E.

Answer: C

Explanation:
The correct answer is option C. The 'SORT BY Quantity DESCENDING' statement within the 'PROC PRINT step orders the output in descending order of 'Quantity' before the report is printed. Options A and E do not specify any sorting order Option B and D use the 'ORDERDESC' statement, which is not the correct syntax for sorting within 'PROC PRINT. You need to use the 'SORT BY statement for sorting the data.


NEW QUESTION # 137
You have a SAS dataset with a date variable 'START DATE' in the format 'YYYY-MM-DD'. You want to calculate the number of days between the 'START DATE' and the current date. Which SAS code snippet achieves this correctly?

  • A.
  • B.
  • C.
  • D.
  • E.

Answer: B

Explanation:
The correct code snippet uses the 'intck' function to calculate the difference between two dates in days. Option 'C' correctly uses the 'day' interval and the function to get the current date. Other options use incorrect intervals or functions, leading to incorrect results.


NEW QUESTION # 138
......

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