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Specifications of A00-215 Practice Exam Software

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SASInstitute A00-215 certification exam tests individuals on their knowledge of SAS programming concepts and techniques, including data input and manipulation, data analysis and reporting, and SAS programming fundamentals. A00-215 Exam is designed to evaluate an individual's ability to use SAS software to solve real-world problems and to provide a foundation for more advanced SAS certifications.

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The SAS Certified Associate: Programming Fundamentals Using SAS 9.4 exam is aimed at individuals who have a basic understanding of programming concepts and are looking to learn SAS programming language. A00-215 exam covers a broad range of topics including data manipulation, data analysis, reporting and programming essentials. A00-215 Exam is conducted in a multiple-choice format and consists of 60-65 questions.

SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q253-Q258):

NEW QUESTION # 253
You have a dataset 'ORDERS' with variables 'ORDER ID', 'CUSTOMER ID', 'ORDER DATE', and 'TOTAL AMOUNT'. You want to create a dataset 'HIGH VALUE ORDERS' containing only observations from the 'ORDERS' dataset where the 'TOTAL AMOUNT' is greater than 5000 and the 'ORDER DATE' falls between '01JAN2023'd and '31 MAR2023d. Which of the following DATA step code snippets will achieve this?

Answer: B,C

Explanation:
Both options B and E correctly filter the observations based on the total amount and the order date. Option B uses the WHERE statement with the BETWEEN operator to filter the observations based on the order date, while Option E uses the IF statement with the BETWEEN operator and the OUTPUT statement to explicitly output the desired observations. Option A uses the IF statement but doesn't include the BETWEEN operator for the order date. Option C has incorrect logic for nested IF statements- Option D includes two WHERE statements, which isn't the correct syntax for filtering multiple conditions.

NEW QUESTION # 254
You have a dataset named 'EMPLOYEES' with variables 'EMP ID', 'FIRST NAME', 'LAST NAME', 'DEPT ID', 'SALARY', 'HIRE DATE. You need to create a new dataset named 'EMPLOYEES SUMMARY' that includes only the employees who joined the company in the year 2022, and retains only the 'EMP ID', 'FIRST NAME', 'LAST NAME', and 'SALARY' variables. Which of the following DATA step code snippets would achieve this?

Answer: C,D

Explanation:
Both Option A and Option B achieve the desired result. They both use 'KEEP=' to select the desired variables within the 'SET' statement and filter the data using the 'IF' statement to include only employees hired in 2022. Option C is incorrect because it includes 'HIRE _ DATE' in the 'KEEP:' list even though it's not needed in the final output. Option D is incorrect because it drops 'HIRE_DATE' which is needed for the filtering condition. Option E is incorrect because it uses both 'KEEP:' and 'DROP:' to select variables within the same 'SET statement, which is redundant. The most efficient way to select variables for output is either through 'KEEP:' or 'DROP=', but not both.

NEW QUESTION # 255
You have a dataset 'CUSTOMERS' with variables 'CUSTOMER ID', 'NAME', and 'CITY'. You want to create a new dataset 'NEW CUSTOMERS' containing only the records where the 'CITY' variable is missing (missing value). Additionally, you want to add a new variable named 'STATUS' with a default value 'NEW' for all observations in the 'NEW CUSTOMERS' dataset. Which SAS code snippet would achieve this?

Answer: A

Explanation:
The correct answer is option D. It uses the 'missing(ClTY)' function to select records where the 'CITY variable is missing- The 'output' statement writes these selected records to the new dataset 'NEW_CUSTOMERS'. The 'STATUS' variable is assigned a value of 'NEW' for all observations in the 'NEW_CUSTOMERS' dataset. Option A and B include the 'drop' option, which would remove the 'CITY' variable from the output dataset, but the question asks for all variables to be included. Option C incorrectly uses a semicolon after the 'if statement Option E incorrectly uses a semicolon after 'if statement and does not include 'then' keyword after 'if statement.

NEW QUESTION # 256
You have a dataset 'CUSTOMERS' with variables 'CUSTOMER ID', 'NAME', 'CITY', and 'STATE'. You want to sort the data first by 'STATE' in ascending order and then by 'CITY' in ascending order, but only for customers whose 'STATE' is 'CA'. Which PROC SORT statement achieves this?

Answer: B

Explanation:
The correct answer is option C. The WHERE statement in PROC SORT filters the data before sorting. By placing the WHERE statement before the BY statement, we ensure that only customers with 'STATE' equal to 'CA' are included in the sorting. Option A sorts all customers, while options B, D, and E have syntax errors or do not filter correctly Option C is the only option that correctly filters and sorts the data based on the provided requirements.

NEW QUESTION # 257
Which statement is true regarding a DATA step concatenation?

A. A DATA step concatenation combines the data horizontally.
B. Columns with the same name must be renamed.
C. The length of variables is determined from the first data set listed on the SET statement.
D. A DATA step concatenation can contain a maximum of two tables on the same SET statement.

Answer: C

Explanation:
In a DATA step concatenation in SAS, when multiple datasets are listed in a SET statement, SAS concatenates the datasets vertically, stacking them one on top of the other. The length of variables in the resulting dataset is determined by the first dataset that appears in the SET statement. If the same variable appears in multiple datasets, SAS uses the length as it is first encountered. It does not require columns with the same name to be renamed; rather, it stacks them directly. There is no maximum number of tables that can be listed in a SET statement for concatenation; more than two can be concatenated. Lastly, concatenation combines data vertically, not horizontally as option D suggests.
References
* SAS 9.4 Language Reference: Concepts, "Concatenating Data Sets."

NEW QUESTION # 258
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