최신 A00-215 무료덤프 - SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4

You have a SAS dataset named 'SALES' with a variable 'REGION' that contains region codes. You want to generate a report that displays the region codes as 'East Coast', 'West Coast', 'Midwest', and 'South' based on their corresponding numeric values. Which code snippet correctly uses the LABEL statement to achieve this?

You are working with a SAS dataset containing both numeric and character variables. You want to check if there are any missing values in the dataset. Which SAS function would you use to achieve this?

You have a dataset 'Orders' with variables 'CustomerlD', 'OrderDate', 'OrderStatus', and 'OrderAmount'. You need to generate a report that summarizes the average 'OrderAmount' for each 'OrderStatus' and 'OrderDate' combination. Additionally, you want to include the total number of orders for each order status. Which PROC MEANS statement would you use to achieve this, while also ensuring the output dataset includes the 'OrderDate' variable for further analysis?

You are tasked with importing a CSV file containing customer data into SAS. The file has a header row and is separated by commas. The data includes a column named 'Date' which represents the date of purchase in the format YYYY-MM-DD. How would you import the file and convert the 'Date' column to a SAS date format? ' 'NOTE:'' The CSV file is named 'customer_data.csv' and is located in the directory 'C:\data\'.

You need to create a report that shows the average sales amount for each product in a dataset called 'SALES'. The report should include a header that states 'Average Sales by Product', and you want to suppress the observation numbers. You also want to ensure that the report is formatted with the average sales amount rounded to two decimal places. Which PROC PRINT statement with LABEL and NOOBS options would achieve this?

You have a SAS dataset named 'CUSTOMERS' with variables 'CUST ID', 'NAME', 'CITY', 'STATE', 'ZIP', 'PHONE', 'EMAIL'. You need to create a new dataset named 'CUSTOMERS CONTACT' containing only the variables 'NAME', 'PHONE', and 'EMAIL'. Which of the following DATA step code snippets would achieve this?

You have a dataset 'PRODUCTS with variables 'PRODUCT ID', 'PRICE', and 'QUANTITY SOLD'. You need to calculate the total revenue for each product, then find the product with the highest revenue, and output its product ID and revenue. Which code snippet achieves this correctly?

You have a SAS data set named 'PRODUCTS' with variables 'ProductlD', 'ProductName', 'Price', and 'Category'. You need to create a new data set 'PRODUCT SALES' with only the products in the 'Electronics' category, and you want to include a new variable called 'TotalSales' calculated as 'Price 100' for each product. Which SAS code snippet achieves this?

You have a dataset with a variable 'DATE STR' storing dates in the format 'YYYY-MM-DD'. You want to create a new variable 'DATE NUM' storing the date in numeric format (YYYYMMDD). Which code snippet correctly achieves this transformation?

You are analyzing a SAS dataset with a variable 'Age' defined as a numeric variable. A record has a missing value for 'Age'. How is this missing value represented in the SAS dataset?

Which of the following options correctly implements the desired output formatting in SAS using PROC MEANS?

You have a dataset with a variable named 'SALES AMOUNT representing the sales value. You want to create a new variable 'SALES CATEGORY' that categorizes sales into 'Low', 'Medium', and 'High' based on the following criteria: Low: SALES AMOUNT < 1000 Medium: 1000 <= SALES AMOUNT < 5000 High: SALES AMOUNT >= 5000 Which of the following DATA step code segments will correctly accomplish this task?

You have a dataset 'Transactions' with a variable 'TransactionDate' in a DATE format. You need to create a new variable 'DaysSinceLastTransaction' that calculates the number of days since the previous transaction for each record. Which SAS code snippet would correctly achieve this?

You have a dataset 'SALES' with variables 'REGION', 'PRODUCT', and 'SALES AMOUNT'. You need to calculate the average sales amount for each region and product combination, but only for products with a total sales amount greater than 1000. Which code snippet achieves this correctly?