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100% Pass SASInstitute - Accurate A00-215 - Latest SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Test Cram

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q267-Q272):

NEW QUESTION # 267
You are analyzing a dataset containing customer demographics and product purchase information. You want to generate a two-way frequency table displaying the relationship between customer age groups (categorized as 'Young', 'Middle-Aged', and 'Senior') and product type (categorized as 'Electronics', 'Clothing', and 'Food'). Which PROC FREQ option would you use to control the layout of this two-way table so that customer age groups appear as rows and product types appear as columns?

Answer: E

Explanation:
The option in PROC FREQ allows you to control the layout of two-way tables by specifying the variables that will appear as rows and columns. In this case, the code CROSSLIST will display customer age groups as rows and product types as columns in the frequency table.

NEW QUESTION # 268
You have a dataset 'ORDERS' with variables: 'Order ID', 'Product', 'Quantity', 'Price', 'Customer_lD', 'Order Date'. You want to create a new dataset 'ORDER SUMMARY' that includes only the variables 'Product', 'Quantity', and 'Price' for orders placed in 2022. Additionally, you need to create a new variable named 'Total_Value' which is the product of 'Quantity' and 'Price'. Which code snippet achieves this correctly?

Answer: A,D

Explanation:
Both options and are correct. They both filter for orders placed in 2022 using 'if year(Order_Date) = 2022 , then the desired variables ('Product', 'Quantity', 'Price') and calculate 'Total_Value' using 'Total _ Value = Quantity , Price' - They then use an -output' statement within the 'do' loop to create the new dataset 'ORDER _ SUMMARY'. Option A is incorrect because it calculates 'Total_Value' for all observations, regardless of the year, and the 'keep' statement is not within a 'do' loop, so 'Total_Value' might not be included in the output. Option C is incorrect because it tries to 'keep' a non-existing variable 'Total _ Value' before it's calculated. Option E is incorrect because it tries to 'keep' the variables after the 'Total_Value' is calculated, which won't include it in the final output The order of operations matters in this scenario.

NEW QUESTION # 269
You have a SAS data set named 'transactions' with variables 'transaction_id', 'product_id', 'quantity', and 'price'. You want to create a new data set called 'summary' that aggregates the total quantity and total value for each 'product id'. Which of the following code snippets correctly implements this aggregation?

Answer: A

Explanation:
The correct answer is D Here's why: 1. BY Statement The BY statement is used to group observations by 'product_id' to facilitate aggregation. This ensures that observations with the same 'product_id' are processed together. 2. SUM Function: The SUM function is used to calculate the total 'quantity' and 'total_value' for each product ID. 'total_quantity = sum(quantity);' calculates the sum of 'quantity' for each product II), and 'total_value = sum(price quantity);' calculates the sum of 'price' multiplied by 'quantity' for each product ID. Why other options are incorrect: - A While the code attempts to accumulate the totals within the DO blocks, it uses incorrect syntax for updating the variables. Using 'total_quantity + quantity' and 'total_value + price quantity' without an assignment operator (=) does not accumulate the values correctly. - B. The code uses incorrect syntax for updating the variables. Similar to option A, using 'total_quantity + quantity' and 'total_value + price quantity' without an assignment operator (z) does not accumulate the values correctly. - C: The code uses the SUM function incorrectly within the ELSE block- The SUM function is intended to be used with a list of values, not to increment existing variables. - E: The code uses the SUM function with incorrect arguments- 'total_quantity' and 'total_value' are not predefined variables in this context, and the SUM function does not work with variables in this way.

NEW QUESTION # 270
You have a SAS dataset 'SALES DATA with variables 'PRODUCT ID' (numeric), 'PRODUCT NAME' (character), 'SALES AMOUNT' (numeric), and 'SALES DATE' (date). You need to create a new dataset 'SALES SUMMARY' that summarizes total sales by product, grouping by 'PRODUCT NAME'. Which of the following SAS code snippets correctly creates the 'SALES SUMMARY' dataset with the required summarization?

Answer: A,B,D

Explanation:
Options A, B, and C all achieve the desired summarization of total sales by product. Option A uses PROC SQL to create a new dataset 'SALES_SUMMARY with the summarized results. Option B uses PROC SUMMARY to calculate the sum of 'SALES_AMOUNT grouped by 'PRODUCT_NAME' and outputs the results to the 'SALES_SUMMARY' dataset. Option C utilizes PROC MEANS to calculate the sum of 'SALES_AMOIJNT and outputs the results to the 'SALES SUMMARY dataset. Option D is incorrect because it does not use an aggregation function like SUM, and it is attempting to create a new variable called TOTAL SALES within the data step, not in a summary dataset. Option E is incorrect as it uses PROC TRANSPOSE, which is used for transposing data, not summarizing by groups. While all three correct options provide the desired summarization, the choice depends on personal preference and the desired level of control over the output.

NEW QUESTION # 271
Consider the following SAS code:

What is the correct syntax to refer to the variable 'calculated _ age' in the 'proc print' step to display its values?

Answer: B

Explanation:
The variable 'calculated_age' is created in the 'proc sqr step and stored in the new data set 'work.new_table'. To refer to this variable in the sproc print' step, you need to specify the data set name 'work.new_table' as the data source. Option B is the correct syntax. Option A is incorrect because 'calculated_age' is not a variable in the 'work.data_set' data set. Options C and D are incorrect because they use the wrong data set names to refer to 'calculated_age'. Option E is incorrect because you cannot use the syntax within the 'vars statement.

NEW QUESTION # 272
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