Question 1

When using SAS Viya, you want to perform a linear regression analysis on a dataset stored in the cloud. You decide to use an action from the 'regression' action set. Which of the following actions should you invoke to perform this task using a CAS session?

Options :

A : table.loadTable

B : simpleReg

C : regression.linear

D : fedSql.execDirect

Answer: C

Question 2

Which of the following is a true statement regarding variable scope in CASL?

Options :

A : Global variables declared outside of any function or action block are accessible only within the same script and cannot be accessed by other scripts or sessions.

B : CASL does not support local variables; all variables are global and can be accessed from any part of the program.

C : Variables in CASL are dynamically typed, and their scope is determined at runtime based on the execution context.

D : Local variables in CASL can be accessed and modified by any other blocks of code within the same action set.

Answer: A

Question 3

In a multi-session SAS Viya environment, a data analyst needs to execute a DATA step that assigns a permanent library using the LIBNAME statement. The analyst needs to ensure that the dataset created within the DATA step is available in the assigned library for all subsequent sessions. Which DATA statement option should the analyst use to specify the session where the library and dataset will be accessible?

Options :

A : SESSREF=SASStudio

B : SESSREF=CASUSER

C : SESSREF=GLOBAL

D : SESSREF=ANALYSIS

Answer: C

Question 4

A programmer wants to utilize the `TABULATE` procedure in SAS Viya for generating a summary report. They need to limit the output to only include the observations for which the 'type' variable equals 'Residential'. Which option demonstrates the correct use of the `WHERE=` parameter in PROC TABULATE to accomplish this task?

Options :

A : `PROC TABULATE DATA=real_estate; WHERE= type = 'Residential'; CLASS property_type; VAR price; TABLE property_type, price*SUM; RUN;`

B : `PROC TABULATE DATA=real_estate TABULATE=WHERE(type = 'Residential'); CLASS property_type; VAR price; TABLE property_type, price*SUM; RUN;`

C : `PROC TABULATE DATA=real_estate; TABLE property_type, price*SUM / WHERE(Type = 'Residential'); CLASS property_type; VAR price; RUN;`

D : `PROC TABULATE DATA=real_estate(table=WHERE(type = 'Residential')); CLASS property_type; VAR price; TABLE property_type, price*SUM; RUN;`

Answer: A

Question 5

When using PROC MEANS to summarize data, a programmer needs to display only the variables "Time", "Distance", and "Speed" from a dataset, while also calculating the mean and standard deviation for those variables. Which of the following VAR statements is the most efficient way to achieve this while maintaining the original order in the dataset?

Options :

A : `proc means data=work.RunData mean std; var Time Distance Speed; run;`

B : `proc means data=work.RunData mean std; var Speed Distance Time; run;`

C : `proc means data=work.RunData; var Time Speed; run;`

D : `proc means data=work.RunData; run;`

Answer: A