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SASInstitute A00-215 Exam covers a wide range of topics related to SAS programming, such as data manipulation, data analysis, data management, and data reporting. A00-215 exam tests candidates on their ability to write SAS code, read and interpret SAS code, and troubleshoot errors in SAS code. Candidates are also tested on their knowledge of SAS terminology, syntax, and procedures.

The SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is a valuable asset for individuals who want to pursue a career in the field of data management, analytics or business intelligence. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification demonstrates the individual’s expertise in SAS programming language and their ability to work with data using SAS tools. To prepare for the exam, individuals can take advantage of SAS Institute’s training courses, online resources and study materials.

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q160-Q165):

NEW QUESTION # 160
You have a SAS dataset named 'ORDERS' with the following structure: Order ID,Customer ID,Order Date,T0tal Amount You need to export this data to a CSV file named 'orders_export.csv' with the following requirements: 1. The data should be sorted by 'Order Date' in ascending order. 2. The 'Order Date' column should be formatted as 'YYYY-MM-DD'. 3. The 'Total Amount' column should be formatted as a comma-separated numeric value with 2 decimal places. Which of the following PROC EXPORT statements would achieve this correctly?

Answer: A

Explanation:
The correct option is E. Here's why: PROC EXPORT is used to export SAS datasets to external files. DATA-ORDERS specifies the SAS dataset to be exported. OUTFILE='orders_exportcsv' indicates the location and name of the CSV file to be created. DBMS=CSV specifies the type of data source as a CSV file. REPLACE ensures any existing file with the same name is overwritten. PUTNAMES=YES tells SAS to include variable names in the first row of the CSV file. FORMAT Order_Date=DATE9. Total_Amount=COMMA12.2 applies the desired formatting to the specified columns. DATE9_ formats the 'Order_Date' column as 'YYYY-MM-DD', while COMMA12.2 formats the 'Total_Amount' column as a comma-separated numeric value with 2 decimal places. SORT BY Order_Date sorts the dataset by the 'Order_Date' column in ascending order before exporting it to the CSV file. Why other options are incorrect: Option A: Uses YYMMDDIO. format, which is not the desired format for the 'Order_Date' columm Option B. Doesn't sort the data before exporting. Option C: Uses DOLLAR 12.2 format, which is not appropriate for the 'Total_Amount' column. Option D: Doesnt sort the data before exporting, and uses the OUT-ORDERS clause, which is not required within the SORT statement inside PROC EXPORT

NEW QUESTION # 161
You have a dataset with a variable 'SalesAmount' representing the sales revenue for each customer. You want to assign a descriptive label to each 'SalesAmount' based on its value: 'Low' for values below $1000, 'Medium' for values between $1000 and $5000, and 'High' for values above $5000. How would you accomplish this using the FORMAT statement?

Answer: D

Explanation:
Option A correctly defines the 'sales_format' with the appropriate ranges and labels. It uses the 'low' and 'high' keywords for the lower and upper bounds of the ranges. Option B uses incorrect syntax for defining the ranges and labels. Option C uses the format twice in the 'format' statement, which is unnecessary. Option D uses incorrect syntax for defining the

NEW QUESTION # 162
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: B,E

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 # 163
You are working with a dataset containing customer names. Some names are longer than 20 characters. You need to truncate these names to a maximum of 20 characters. Which of the following code snippets correctly uses the LENGTH statement to achieve this within a DATA step? ' 'Note' ': Assume the variable 'CustomerName' is a character variable.

Answer: B,D

Explanation:
The correct answers are and Option A defines the length of the variable 'CustomerName' to be 20 bytes and uses the 'substr- function to truncate the name if it exceeds 20 characters. Option D also defines the length to be 20 bytes using 'length CustomerName $ (using dollar sign to define character variables) and uses the 'substr' function to truncate the name. Option B uses the wrong syntax for defining character variable length. Option C attempts to use the 'scan' function to truncate the name, but it would only work if the name has spaces and would not truncate it correctly. Option E truncates the name but adds' ' at the end of names longer than 20 characters. While this might be useful, it is not the most straightforward approach for simply truncating names to a specific length.

NEW QUESTION # 164
The following program is summited:

The following report is created:

However, the desired report is shown below:

What change is needed to display the desired formatted values for the Answer varia

A. Remove the comma located on the VALUE statement
B. Add a period to the end of the format name on the VALUE statement.
C. Remove the dollar sign located at the front of the format name
D. Change the unformatted values on the VALUE statement to upper case letters

Answer: B

Explanation:
When defining custom formats in SAS, it's important to adhere to the correct syntax, which includes ending format names with a period. In the submitted program, the format $convert is defined without a period at the end of the format name in the VALUE statement. This is likely causing an error since format names in the VALUE statement should always end with a period. Option C correctly identifies that adding a period to the end of the format name on the VALUE statement will allow SAS to properly recognize and apply the custom format to the Answer variable when the PROC PRINT step is executed.
The program provided in the question seems to have formatting errors, but based on the information provided, the suggested change is to add a period to make it $convert. which would correctly apply the format.
The other options would not resolve the issue of applying the custom format:
* A. Changing the case of the unformatted values will not help if the format is not correctly specified.
* B. The comma does not seem to be the issue based on the context given.
* D. The dollar sign is correct and necessary for character formats; removing it would cause the format to be invalid for character data.
References:
* SAS 9.4 documentation for the FORMAT procedure: SAS Help Center: PROC FORMAT

NEW QUESTION # 165
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