SAS A00-215 Exam Dumps

In SAS, the correct syntax for assigning labels to variables is to use the LABEL statement within a DATA step or a PROC step. Labels are assigned to variables using the format variable='label'. The correct syntax for the LABEL statement is represented by option B.

Here's the breakdown:

FName='First Name' correctly assigns the label First Name to the variable FName.

LName='Last Name' correctly assigns the label Last Name to the variable LName.

Each variable and label pair is separated by a space, and the overall statement ends with a semicolon, which is the proper syntax for a LABEL statement in SAS.

Options A, C, and D are incorrect due to various syntax errors like the use of the wrong character for the apostrophe, missing apostrophes, incorrect punctuation, and in the case of option C, an incorrect conjunction 'and' which is not used in LABEL statements.

SAS 9.4 documentation for the LABEL statement: SAS Help Center: LABEL Statement

In SAS, the code you provided involves creating two datasets, table1 and table2, from the dataset sashelp.shoes. The key part to understand here is how the DATA statement and OUTPUT statement interact with the specified datasets.

DATA Statement: The statement data table1 table2; initiates the creation of two new datasets named table1 and table2.

SET Statement: The set sashelp.shoes; statement is used to read data from the sashelp.shoes dataset. This dataset includes data on shoe sales from SASHELP library, which is commonly used for demonstration purposes in SAS.

OUTPUT Statement: In the context of the DATA step where multiple datasets are specified in the DATA statement (as in table1 table2), the OUTPUT statement without a dataset name specified outputs the current observation to all datasets listed in the DATA statement. This is a critical point because it determines where the data goes after processing in the DATA step.

Execution: When the run; statement is executed, it processes each observation from sashelp.shoes. For each observation, because there is no condition or additional OUTPUT statements specifying dataset names, each observation is output to both table1 and table2.

Therefore, the correct behavior as described is that each observation in sashelp.shoes is written to both table1 and table2. This effectively duplicates each row from the source into both target datasets.

SAS 9.4 Language Reference: Concepts, 'DATA Step Processing' and 'OUTPUT Statement' sections provide detailed explanations on how DATA steps process and how OUTPUT statement works in different contexts.

Practical examples and explanations from SAS programming courses and official SAS documentation, which discuss DATA and SET statements, and their interaction with OUTPUT in data duplication scenarios.

In SAS, character variables are indeed capable of holding alphabetic characters, numeric digits, and other special characters, which makes Option A the correct answer. This flexibility allows for storing a wide range of data as text, including combinations that may include symbols and numbers typically found in addresses, identification codes, or textual data that includes special characters. Unlike numeric variables, character variables do not interpret the data as numbers but as literal strings of characters. Options B, C, and D contain inaccuracies regarding how data types and values are treated in SAS. Specifically, numeric values in SAS are never enclosed in quotes (which contradicts B), character variables can exceed 200 bytes depending on the specific declaration (contradicting C), and while numeric variables can indeed include numbers, decimal points, minus signs, and scientific notation, they do not typically include currency symbols as part of the variable's numeric value (contradicting D).

Reference: SAS documentation on data types, SAS Institute.

In SAS program syntax, character strings are indeed case sensitive when enclosed in quotation marks. If you compare two character strings of the same letters but different cases, SAS will treat them as different values. For example, 'Hello' is not the same as 'hello'.

Option A is incorrect because the ampersand (&) is not used for comments in SAS; it is used for macro variable references. Option B is incorrect because global statements such as LIBNAME and options do not require a RUN statement to execute. Finally, option D is incorrect because SAS can process steps with multiple statements on the same line, provided that they are correctly separated by semicolons.

Reference

SAS 9.4 Language Reference: Concepts, 'SAS Language Elements and Syntax.'

When creating two SAS data sets with a DATA step, you should name both data sets in the DATA statement. This tells SAS to create two separate data sets from the same DATA step. Using an OUT= option in the WHERE statement or a PUT statement are not correct methods for creating data sets. A SET statement is used to read data into the DATA step, not to create output data sets.

SAS documentation on the DATA step for creating multiple data sets.