Question 1

A programmer needs to execute a series of data preparation steps that rely on traditional SAS data set access, manipulation, and reporting procedures, and some steps are highly I/O intensive due to the data size. Based on these requirements, which environment should the programmer choose for the execution of this code?

Options :

A : The Compute Server, to utilize the traditional SAS programming environment

B : The CAS environment, to benefit from its in-memory processing power

C : The client machine, because I/O intensive tasks are best handled locally

D : The execution environment does not matter as long as enough memory is allocated

Answer: A

Question 2

A data scientist is working on a SAS Viya environment and wants to access data files stored in the default location where personal files are kept when the SAS Viya session starts. Which of the following CASLIB attributes should be considered to directly access these files?

Options :

A : Session

B : Local

C : Active

D : Personal

Answer: D

Question 3

An analyst is working with a CAS session and needs to save a table permanently in a CAS library. What statement must the analyst append to ensure the data will not be lost when the session ends?

Options :

A : The analyst must use the SAVE statement specifying the library: SAVE TABLE mytable TO CASLIB mycaslib;

B : The analyst should save the table as a SAS data set in the DATA step and then assign it a libref using CASLIB statement.

C : The analyst must use the TABLESAVE statement in PROC CAS to direct the CAS engine to save the data: PROC CAS; TABLESAVE / caslib="mycaslib" name="mytable"; RUN;

D : The analyst has to use the CAS Engine-s "PERSIST" statement to ensure persistence: PROC CASUTIL; SAVE caslib=mycaslib; persist=true; RUN;

Answer: C

Question 4

A data scientist is planning to leverage Python code within a SAS Viya environment to enhance their analyses. They want to integrate the Python code so that it can be executed as part of a larger SAS workflow. Which of the following methods allows for seamless integration of Python code in a SAS Viya environment?

Options :

A : Copying and pasting Python code into the SAS Enterprise Guide and executing as a stored process.

B : Using the SASPy library to establish a connection between the Python environment and the SAS session, allowing for the execution of Python code within SAS.

C : Writing Python code into a .sas file and running it as a SAS script.

D : Calling Python scripts via the Command Line from within a SAS program without any direct data transfer between Python and SAS.

Answer: B

Question 5

A data analyst needs to create a view that includes data from the 'transactions' table but only for the records where the transaction amount is higher than 5000. Which PROC SQL code snippet would allow the analyst to create this view in SAS Viya correctly?

Options :

A : PROC SQL; CREATE VIEW high_value_transactions AS SELECT * FROM transactions WHERE transaction_amount > 5000; QUIT;

B : PROC PRINT; CREATE VIEW high_value_transactions AS SELECT * FROM transactions WHERE transaction_amount > 5000; RUN;

C : DATA high_value_transactions; SET transactions; WHERE transaction_amount > 5000; RUN;

D : PROC SQL; CREATE VIEW high_value_transactions AS SELECT * FROM transactions HAVING transaction_amount > 5000; QUIT;

Answer: A

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