SAS Quiz(100% New And Real Time Questions)

The primary key is a type of integrity constraint that ensures the uniqueness and non-nullability of a column. By applying the primary key constraint on the variable StoreID, it guarantees that there are no missing values (non-nullability) and no duplicate values (uniqueness). This constraint is commonly used to uniquely identify each row in a table and enforce data integrity. Therefore, the given answer of "True" is correct.

The correct answer is "%PUT _ALL_;" because the "%PUT _ALL_;" statement is used to display all the automatic macro variables and their values in the SAS log. In this case, it will display the value of the macro variable AUTOMATIC.

The macro variable C resolves to 1.11111 because the %sysevalf function is used to perform a floating-point division of the values of macro variables a and b. The result of the division is 1.11111, which is then assigned to the macro variable C. This value is then printed to the SAS Log using the %put statement.

The program is creating an array called "score" with dimensions 2x4 and initializing it with values 40, 50, 60, and 70. Then, it is using the "set" statement to read data from a dataset called "work.one". Finally, it is assigning the value of "score{hour,rating}" to the variable "Points". Since the array "score" has 2 rows and 4 columns, the expression "score{hour,rating}" is accessing the value at the intersection of the "hour" row and the "rating" column, which is 60.

The FLOW OVER option in an ODS Statement moves the output pointer to a new line if a PUT statement attempts to write an item beyond the last ODS column in the buffer. This means that if the output exceeds the available space in the current line, it will automatically wrap to the next line, ensuring that the output is properly displayed without any truncation or loss of data.

The correct answer is "PROC SQL; CREATE TABLE THREE AS SELECT * FROM ONE OUTER UNION SELECT * FROM TWO; QUIT;". This code will create an output dataset named THREE using the SQL procedure. It will combine the datasets ONE and TWO using the OUTER UNION operator, which will include all rows from both datasets, including any duplicates. The SELECT * statement is used to select all columns from both datasets, and the resulting dataset will contain all the columns from both datasets.

Storing a macro definition in a SAS catalog SOURCE entry allows you to use FILENAME and %INCLUDE statements for compiling the macro. This means that you can include the macro definition in your program using the %INCLUDE statement, and the macro will be compiled and available for use. The FILENAME statement is used to specify the location of the macro definition in the SAS catalog. This allows for easy access and compilation of the macro without the need to manually compile it before invoking it in a program.

The correct answer is "proc sql; select * from class1 union select * from class2 order by exams; quit;". This query combines the data from both class1 and class2 datasets using the UNION operator and sorts the result by the exams column. The UNION operator eliminates duplicate rows from the result set.

The SAS program defines macro variables using the %let statement. The macro variable "city" is assigned the value "delhi", the macro variable "no" is assigned the value "9", the macro variable "mycity" is assigned the value "no", and the macro variable "country" is assigned the value "mycity". The %put statement is used to write the value of the macro variable "&country" to the SAS log. Since "&country" resolves to "mycity", the value "9" is written to the SAS log.

The correct answer is "%let text=%bquote(Joan's Report);" because the %bquote function is used to mask special characters in a macro variable value. In this case, the single quote in "Joan's Report" is masked using %bquote, so the macro variable resolves to "Joan's Report" without any syntax errors.

The keyword CORRESPONDING can be used with the keyword ALL.

The correct answer is "proc sql; Select * from sasuser.cars (idxwhere=no) where speed > 150 ; Quit;". This is because the "idxwhere=no" option in the PROC SQL statement tells SAS to ignore all indexes when executing the query.

The correct answer is %let summitname= %substr(&summit,1,%length(&summit)-4). This statement uses the %substr function to extract a substring from the macro variable summit. It starts at the first character and goes up to the length of the variable minus 4, effectively removing the last 4 characters from the value of summit. The resulting substring is then stored in the macro variable summitname.

The correct answer is "Data work.class; Set class1 class2 class3; Where id >5; Run;". This is the correct answer because it uses the SET statement to combine the datasets class1, class2, and class3 into a single dataset called work.class. The WHERE statement is then used to filter the observations, only selecting those where the id variable is greater than 5. Finally, the RUN statement is used to execute the data step and create the new dataset.

The variable "runs" is assigned the value of the element in the array "balls" with indexes 4 and 2, which is NULL/BLANK.

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FEEDBACK is a debugging technique in PROC SQL that provides information about the execution of the SQL statements. It displays messages in the SAS log, allowing the programmer to identify and correct any errors or issues in the SQL code. VALIDATE is another debugging technique in PROC SQL that checks the syntax and semantics of the SQL statements without actually executing them. It helps in identifying any errors or inconsistencies in the code before running the SQL queries.

The SAS program is using the PROC TRANSPOSE statement to restructure the data set ONE. The BY statement is used to group the observations by the variable P. The VAR statement specifies that only variable Q should be transposed. The resulting transposed data set, named new, will contain the variables P and COL1 only.

The correct answer is "Proc sql; Create unique index daily on work.CLASS (GENDER, CLASS) ;". This statement creates a unique index named "daily" on the dataset "CLASS" in the "work" library, with the index key variables as "GENDER" and "CLASS". This means that the index will be created based on the values of these two variables, allowing for faster data retrieval and improved performance when querying the dataset based on these variables.

The correct answer is "proc sql; delete from newdata.class Where age". This SQL procedure program uses the "delete" statement to remove rows from the data set "CLASS" where the condition "age" is met.