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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q132-Q137):

NEW QUESTION # 132
You are working with a dataset containing sales transactions. You need to create a new dataset containing only transactions where the sale amount exceeds $1000. Which code snippet correctly uses the OUTPUT statement to achieve this?

Answer: A

Explanation:
The correct code snippet is option A- The OUTPUT statement is used to write observations to a specific dataset In this case, the code checks if the Sale_Amount is greater than 1000. If it is, then the observation is written to the Sales_Over_1000 dataset Options B, C, D, and E are incorrect. Option B is incorrect because it lacks the 'then'keyword after the 'if statement, which is required to specify the condition for outputting the observation- Option C is incorrect because it only outputs the observation without specifying the dataset name. Option D is incorrect because it uses an invalid syntax for specifying the output dataset Option E is incorrect because it does not specify the dataset name. The correct syntax for the OUTPUT statement is 'output dataset_name;'.

NEW QUESTION # 133
You have a dataset with customer purchase records, including their customer ID, purchase date, and purchase amount. You want to calculate the average purchase amount for each customer but only for the purchases made in the last three months. Using the DATA step, how would you modify the code to achieve this, taking advantage of BY group processing with FIRST. and LAST. variables?

A. data customer_avg; set purchases; by customer_id; retain avg_amount 0 count 0; if first.customer_id then if intck('month' , purchase_date,
B. =3 then do; avg_amount+purchase_amount; count+l; end; output; run; data customer_avg; set purchases; by customer_id; retain avg_amount 0; if first.customer_id then if intck('month' , purchase_date, today())< =3 then avg_amount+purchase_amount; output; run;
C. count-0; end; if intck('month',purchase_date,today())<=3 then do; avg_amount=purchase_amount; count+l; end; output; run;
D. count-0; end; if then do; avg_amount+purchase_amount; count+l; end; output; run; data customer_avg; set purchases; by customer_id; retain avg_amount 0 count 0; if first.customer_id then do; avg_amount=0;
E. data customer_avg; set purchases; by customer_id; retain avg_amount 0; count=0; if first.customer_id then count+l; if then avg_amount+purchase_amount; output; run; data customer_avg; set purchases; by customer_id; retain avg_amount 0 count 0; if first.customer_id then do; avg_amount=0;

Answer: A

Explanation:
Option D is the correct answer because it correctly initializes the 'avg_amount' variable to zero for each customer's first record, it only considers purchases within the last three months, and it calculates the average by dividing the accumulated purchase amount by the count of transactions within the three-month window. Options A, B, C, and E either incorrectly initialize the variables or do not correctly compute the average within the specific time frame.

NEW QUESTION # 134
Which line contains a syntax error?

A. Line 1
B. Line 5
C. Line 2
D. Line 3

Answer: A

NEW QUESTION # 135
You are working with a dataset containing sales data, where the 'SalesRegion' variable can have values like 'North', 'South', 'East', 'West', or be missing. You want to create a custom format that labels missing values as 'Unknown' and uses different labels for specific regions: 'North' becomes 'Northern Region', 'South' becomes 'Southern Region', and so on. Which PROC FORMAT code snippet correctly defines this format?

Answer: A

Explanation:
The correct answer is Option A. It accurately defines the custom format 'REGION FORMAT by explicitly mapping each specified region value to a more descriptive label and using 'OTHER' to handle any other value, including missing values. Options B and C use 'MISSING' or '.' directly, which are not the correct way to handle any non-specified values, including missing values. Options D and E are incorrect because they unnecessarily use both 'OTHER' and or 'MISSING', which can cause unexpected behavior.

NEW QUESTION # 136
Which line contains a syntax error?

A. Line 1
B. Line 5
C. Line 3
D. Line 2

Answer: C

Explanation:
In the provided code snippet, Line 3 contains a syntax error. The keep statement is used incorrectly here; the correct keyword to use is where in order to filter the dataset. The correct line should be something like:
where Make = 'Honda';
So, the keep statement on Line 3 is not properly used, and also there appears to be a missing quotation mark at the end of 'Honda' which should be closed before the semicolon.
References:
* SAS documentation for the where statement.

NEW QUESTION # 137
......

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