Pass the SAS Institute Programming Fundamentals A00-215 Questions and answers with CertsForce

Option B is correct. The DATE9. format in SAS displays dates in the ddMMMyyyy format, which corresponds to the example given (25JUN2019). This format writes dates with a two-digit day, a three-character month abbreviation, and a four-digit year. The other options do not match the correct format:

A is incorrect because ddMMMyy9. format would display a two-digit year.

C is incorrect because there is no such format as Ddmmmyyyy9. in standard SAS formats.

D is incorrect because Dmy9. does not correspond to the required format.

References:

SAS 9.4 documentation on date and time formats.

The correct answer is D. This option uses the PROC PRINT procedure, which is used to print SAS data sets. The format statement within PROC PRINT temporarily assigns a format to a variable for the duration of the PROC PRINT step. Here is how it works:

data=sashelp.shoes; tells SAS which dataset to print.

Format sales comma12.; temporarily assigns a comma format to the sales variable, making it easier to read, especially if the numbers are large. The comma12. format adds commas for thousands, millions, etc., and displays the number in a field that is 12 characters wide.

The format is only applied for the duration of the PROC PRINT step and does not permanently change the dataset.

The other options are incorrect for the following reasons:

Option A attempts to use a PROC FORMAT step, which is for creating custom formats, not for assigning formats to variables in a dataset.

Option B uses a DATA step which could permanently assign the format to the sales variable if it were syntactically correct (it should be set sashelp.shoes; instead of Set sashelp,sheoes;).

Option C mentions PROC CONTENTS which displays metadata about variables in a dataset and does not have the capability to assign formats.

References:

SAS 9.4 documentation for the PROC PRINT statement: SAS Help Center: PROC PRINT

The DROP statement during the compilation phase of the DATA step flags variables in the Program Data Vector (PDV) to be dropped when the data set is output. This means that although the variables exist in the PDV during the DATA step execution, they will not be written to the output data set. The DROP statement does not affect the order of variables (which is the purpose of the ORDER= data set option), nor does it remove variables from the input data set or prevent them from being created in the PDV.

References:

SAS documentation on the DROP statement.

The correct answer is A: Ods excel='c:\report.xlsx' style=analysis;. This syntax is correct for the ODS EXCEL statement in SAS, where you specify the path and filename, followed by the 'style' option to apply a specific style template to the output Excel file. The 'style=analysis' is used to set the output appearance according to the 'ANALYSIS' style template provided by SAS. Option B is syntactically incorrect and does not use the 'style' option correctly. Option C incorrectly places a slash which is not syntactically valid in this context, and Option D misses the equals sign and quotes which are necessary for correct syntax in SAS.References:

SAS documentation on ODS EXCEL statement: SAS Support: ODS EXCEL Statement

Option B is correct. In SAS, variable names must be 1 to 32 characters in length. The other statements about variable names are incorrect:

A is incorrect because variable names are not case sensitive in SAS.

C is incorrect because variable names are required when you create a data set; each column must have a unique name.

D is incorrect because variable names cannot start with a number, though they can start with an underscore or a letter.

References:

SAS 9.4 documentation on SAS variables.

In the provided DATA step, the merge statement is used to combine the PATIENT and VISIT data sets by the variable Id. The number of observations in the resulting ALLVISITS data set will equal the number of unique Id values that appear in both the PATIENT and VISIT data sets, because the merge in SAS is a one-to-one merge by default when the by statement is used without additional options like in=.

Looking at the provided data sets, each Id in the PATIENT data set has corresponding entries in the VISIT data set. Since there are 5 unique Id values and the VISIT data set contains multiple observations for some Id values (specifically, Id 2 and 5 have more than one visit), the ALLVISITS data set will have a total of 7 observations (1 for each patient plus the additional visits for Id 2 and 5).

References:

SAS documentation on the merge statement.

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).

References:SAS documentation on data types, SAS Institute.

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.

References:

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

The resulting WORK.REVENUE data set contains 3 variables. In the provided SAS program, the set statement uses a (keep=) option to keep only 3 variables from WORK.PRODUCTS, which are ProdId, Price, and Sales. The drop= data set option in the data statement specifies to drop the Sales and Returns variables from the output data set. However, Returns was not included in the keep= option, so it won't be part of WORK.REVENUE to begin with. Finally, a new variable Revenue is calculated and included in the data set. Therefore, the final data set contains the variables ProdId, Price, and Revenue.

References:

SAS documentation on keep= and drop= data set options.