SAS Certified Associate: Programming Fundamentals Using SAS 9.4latest test questions & A00-215 reliable braindumps & SAS Certified Associate: Programming Fundamentals Using SAS 9.4free practice dumps
SAS Certified Associate: Programming Fundamentals Using SAS 9.4latest test questions & A00-215 reliable braindumps & SAS Certified Associate: Programming Fundamentals Using SAS 9.4free practice dumps
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The SASInstitute A00-215 exam consists of 65 multiple-choice questions that must be completed within a time limit of 110 minutes. The questions cover a range of topics, including SAS programming syntax, data manipulation techniques, and basic statistical procedures. A00-215 Exam is offered in English and can be taken at a Pearson VUE testing center or online with a remote proctor.
SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q187-Q192):
NEW QUESTION # 187
You have a SAS dataset called 'EMPLOYEES' with variables 'EMPLOYEE ID', 'FIRST NAME', 'LAST NAME', 'DEPARTMENT', 'SALARY, 'HIRE DATE'. You need to create a new dataset called 'EMPLOYEES HIGH SALARY' containing only employees with salaries greater than $100,000, and you want to rename the 'SALARY' variable to 'HIGH SALARY'. Which code snippet correctly achieves this?
- A.
- B.
- C.
- D.
- E.
Answer: C
Explanation:
Option D correctly combines the RENAME: option to change the variable name, the WHERE clause to filter based on salary, and the DROP= option to remove the 'HIRE_DATE' variable. The RENAME= option is used inside the SET statement to rename the 'SALARY' variable to 'HIGH_SALARY'. The WHERE clause filters the data by checking if the 'SALARY' variable is greater than 100000. Option A is incorrect because the RENAME= option should be placed inside the SET statement. Option B is incorrect because the HIGH_SALARY variable does not exist at the time of filtering. Option C is incorrect because it attempts to rename the variable inside an IF statement, which is not the right syntax Option E is incorrect as it does not drop the 'HIRE DATE' variable as requested in the scenario.
NEW QUESTION # 188
You have a dataset with a variable 'OrderDate' in a SAS date format. You need to create a new variable 'FiscalYear' that represents the fiscal year based on a fiscal year starting on July 1st. Which code snippet correctly calculates the fiscal year?
- A.
- B.
- C.
- D.
- E.
Answer: A
Explanation:
The correct answer is ''A''. Here's why: 1. ''Fiscal Year A fiscal year starting on July 1st means that if the order date's month is greater than June (i.e., July or later), it belongs to the next calendar year's fiscal year. Otherwise, it's the current calendar year's fiscal year. 2. ''Using 'year()' and The function extracts the year from the 'OrderDate' variable, and the 'month()' function extracts the month. 3. ''The The ' function checks the month and adds 1 to the year if the month is greater than June, indicating the next fiscal year. ''Why the other options are incorrect. B. This option includes July in the next fiscal year, which is incorrect as July belongs to the current calendar year's fiscal year. ' ''C & D:'' These options incorrectly assign the next fiscal year to orders placed in the first half of the calendar year. ' This option only considers orders placed in July, not the entire fiscal year.
NEW QUESTION # 189
You are working with a SAS dataset 'SALES' containing sales data for different products. The dataset has variables 'PRODUCT ID', 'SALES DATE', 'SALES AMOUNT', and 'REGION'. You need to create a new dataset named 'SALES QI' that includes only sales records for the first quarter (January, February, March) of the year and renames the 'SALES DATE' variable to 'SALES DATE QI'. Which code snippet correctly achieves this?
- A.
- B.
- C.
- D.
- E.
Answer: A
Explanation:
Option C correctly combines the RENAME= option to change the variable name and the WHERE clause to filter the data for the first quarter. The RENAME: option is used within the SET statement to rename the SALES_DATE variable to SALES_DATE_QI. The WHERE clause filters the data by checking if the MONTH function applied to the SALES DATE variable is within the range of 1, 2, or 3, representing January February, and March, respectively. The other options are incorrect because they either do not rename the variable correctly use incorrect filtering logic, or try to use OBS= to limit the observations, which is not the right approach for this scenario.
NEW QUESTION # 190
You have an Excel file 'customer data.xlsx' with two sheets: 'Customers' and 'Orders'. The 'Customers' sheet contains customer IDs and names, while the 'Orders' sheet contains order IDs, customer IDs, and order dates. You want to create a SAS dataset 'combined_data' that joins data from both sheets based on the common 'Customer ID' column. Which code snippet correctly accomplishes this?
- A.
- B.
- C.
- D.
- E.
Answer: A
Explanation:
Option B is the correct answer. It uses the MERGE statement to join the two datasets ('Customers' and 'Orders') based on the common column 'Customer_lD'. The BY clause specifies the join variable. Option A is incorrect because it uses the SET statement, which doesn't perform a join operation. Option C is incorrect as it simply concatenates the two datasets without a join condition. Option D is incorrect because it uses an IF statement and a subquery to select data from the 'Orders' dataset, which is inefficient Option E is incorrect as it simply combines the two datasets using SET, which doesn't join on a common column.
NEW QUESTION # 191
You have a dataset 'EMPLOYEES' with variables 'EMPLOYEE ID', 'NAME', 'DEPARTMENT', 'SALARY', and 'JOIN DATE'. You need to sort the data by 'DEPARTMENT' in ascending order, then by 'SALARY' in descending order, and finally by 'JOIN DATE' in ascending order. Which PROC SORT statement will achieve this sorting?
- A.
- B.
- C.
- D.
- E.
Answer: B
Explanation:
The correct answer is C. The BY statement with 'DEPARTMENT, 'DESCENDING SALARY, and 'ASCENDING JOIN_DATE' will sort the data in ascending order of 'DEPARTMENT, then by 'SALARY' in descending order within each 'DEPARTMENT', and finally by 'JOIN_DATE' in ascending order within each 'DEPARTMENT and 'SALARY group. Option A sorts 'JOIN_DATE' in descending order. Option B sorts 'JOIN_DATE' in descending order. Option D sorts 'SALARY in ascending order. Option E sorts by 'DEPARTMENT in descending order. Only option C achieves the desired sorting.
NEW QUESTION # 192
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