Question 1

A data analyst needs to run a data manipulation task that involves sorting a table by multiple columns, then creating a new column based on a conditional statement. Which of the following sets of actions should be used in the given scenario when programming in SAS Viya?

Options :

A : table.loadTable followed by table.sortTable and then table.addTable

B : table.loadTable followed by table.sort and then column.addDerivedColumn

C : table.fetch followed by column.sort and then column.addCondition

D : fedSql.execDirect for the entire manipulation in a single step

Answer: B

Question 2

In a SAS Viya program, if a variable `x` has been declared as INT32 and is assigned a value based on user input, which of the following error checks is crucial before performing arithmetic operations to avoid runtime errors?

Options :

A : Checking whether the value is a multiple of 10.

B : Checking that the value does not exceed the boundaries of INT32 (-2,147,483,648 to 2,147,483,647).

C : Ensuring that the variable is not null.

D : Verifying that the variable is positive.

Answer: B

Question 3

You have been tasked with ensuring that a particular numeric format is available for use in a CAS session. This format is required to display currency values in the format `$#,##0.00;($#,##0.00)`. Assuming the format has already been created and stored appropriately in CAS, where should you verify its existence before applying it to your analysis?

Options :

A : In the active environment session temporary files

B : In the in-memory tables loaded into the CAS session

C : In the user-specific profile settings within CAS

D : In the formats catalog in the caslib where the format was stored

Answer: D

Question 4

An analytics firm is looking to harness the power of in-memory analytics for complex computations and wants to decide between SAS Compute Server and SAS Cloud Analytics Services (CAS). Which scenario best justifies the choice of utilizing CAS over SAS Compute Server?

Options :

A : The firm requires batch processing capabilities for large datasets that do not fit into memory.

B : The company demands a distributed, in-memory analytics engine to analyze big data at unprecedented speeds.

C : There is a need for a traditional analytics environment that supports long-established, disk-based processing.

D : The firm-s analytics workload is light and does not require the advanced, high-performance capabilities of in-memory processing.

Answer: B

Question 5

Given a dataset named 'orders' with variables 'orderId', 'customerId', and 'orderValue', you are tasked with writing a DATA Step to accumulate the total order value per customer. Which of the following codes will correctly produce a dataset with a total for each customer?

Options :

A : data customerTotals;set orders;by customerId;retain totalValue;if first.customerId then totalValue=0;totalValue + orderValue;if last.customerId then output;run;

B : data customerTotals;set orders;by customerId;totalValue + orderValue;if last.customerId then output;run;

C : data customerTotals;set orders;by customerId;retain totalValue 0;if first.customerId then call missing(totalValue);totalValue + orderValue;if last.customerId then output;run;

D : data customerTotals;set orders;retain totalValue 0;totalValue = totalValue + orderValue;output;run;

Answer: A

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