Question 1

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 2

You are working on a project with a dataset named `sales` in the SAS Viya environment. You have been tasked to create a new dataset `luxury_sales` that includes records of luxury items with a price greater than $10,000. You decide to use the `WHERE=` subparameter in your code to filter the dataset. What is the correct way to apply the `WHERE=` subparameter to achieve this?

Options :

A : PROC COPY DATA=sales OUT=luxury_sales WHERE=(price > 10000);

B : DATA luxury_sales; SET sales (WHERE=(price > 10000)); RUN;

C : PROC SORT DATA=sales; BY price; WHERE price > 10000; OUTPUT OUT=luxury_sales; RUN;

D : PROC SQL; CREATE TABLE luxury_sales AS SELECT * FROM sales WHERE price > 10000; RUN;

Answer: B

Question 3

A SAS Viya data analyst is tasked with selecting a random subset of data from a dataset called 'CustomerData', which contains over 1 million records. The requirement is to analyze a manageable subset without any bias. How should the analyst use the 'subSet=' parameter in a procedure to ensure a random selection?

Options :

A : PROC SURVEYSELECT DATA=CustomerData subSet=/METHOD=SRS SAMPRATE=0.01 OUT=SampleData;

B : PROC SURVEYSELECT DATA=CustomerData METHOD=SRS SAMPRATE=0.01 OUT=SampleData;

C : PROC SURVEYSELECT DATA=CustomerData subSet=(RANDOM 0.01) OUT=SampleData;

D : PROC SURVEYSELECT DATA=CustomerData / subSet=(RANDOM 0.01) OUT=SampleData;

Answer: B

Question 4

What is the correct way to use the CAS library to save the results of a procedure in SAS Viya?

Options :

A : Use a DATA step with the CASLIB statement to specify the target CAS library where the results should be saved.

B : Use the PROC COPY command with the TO= and FROM= options to move result tables to a specified CAS library.

C : Assign a libref to the desired CAS library and then specify that libref in the OUT= option of the procedure.

D : Result tables are automatically saved to the CAS library assigned to the user at login and no additional steps are required.

Answer: C

Question 5

A programmer wants to create a new variable that increments by 1 each time a new group, defined by the BY statement, is encountered in the dataset. Which SAS programming technique can achieve this?

Options :

A : Utilize the FIRST. variable that is automatically created when using a BY statement to increase a counter variable when FIRST.variable is true.

B : Use a RETAIN statement to carry the value of the counter variable from one group to the next, resetting it to 1 whenever the BY group changes.

C : Implement a WHERE statement to filter the dataset according to the BY group and then accumulate the counter for each group separately.

D : Apply the SUM statement with the BY variable to increment the counter without using FIRST. or RETAIN statements.

Answer: A

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