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SASInstitute A00-215 certification exam comprises 60-65 multiple-choice and short-answer questions, and the time duration for the exam is 2 hours and 20 minutes. A00-215 exam is conducted in a proctored environment, and candidates must score a minimum of 70% to pass the exam. A00-215 exam content is divided into six sections, including Accessing Data, Creating Data Structures, Managing Data, Generating Reports, Handling Errors, and Debugging, and Programming Essentials. A00-215 Exam Tests a candidate's proficiency in SAS programming syntax, data step programming, and SAS procedures.

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q217-Q222):

NEW QUESTION # 217
You have a SAS dataset 'SALES' with variables 'ORDER DATE' (numeric, date format) and 'PRODUCT NAME'. You need to create a new dataset 'SALES BY MONTH' that summarizes the sales by month. The dataset should include the month (as a character variable 'MONTH'), the year (as a numeric variable 'YEAR'), and the total sales for that month ('TOTAL SALES'). Which SAS code snippet correctly creates 'SALES BY MONTH'?

Answer: E

Explanation:
The code uses the function with the 'monyy6 format to extract the month and year from the 'ORDER DATE' variable and store them in 'MONTH' and 'YEAR' respectively. The 'sum()' function aggregates the 'PRODUCT NAME' values for each month and year, storing the result in 'TOTAL SALES'. The 'by' statement ensures the aggregation happens within each month and year group. Option A uses the 'month.' format, which wouldn't include the year Option B uses 'proc sqr but doesn't specify the desired format for the month (would be numeric). Option C uses 'montyy.' which is a date format, not the desired month and year format Option E uses 'proc summary' but doesn't format the month and year in the desired format.

NEW QUESTION # 218
You have two SAS datasets: 'CUSTOMERS' (CUSTOMER ID, NAME) and 'ORDERS' (ORDER D, CUSTOMER ID, ORDER DATE). You want to create a new dataset 'CUSTOMER ORDERS' that includes customer information and their most recent order date. Which code snippets would achieve this correctly? (Select all that apply)

Answer: B,E

Explanation:
Both options A and D are correct. They use the BY statement and the LAST-CUSTOMER_ID system variable to identify the last record for each customer. Option A uses OUTPUT to write the last record for each customer to the output dataset. Option D accomplishes the same result by implicitly outputting the last record for each customer. Option B is incorrect because it simply merges the datasets without filtering for the most recent order. Option C is incorrect because it uses _N_ = 1, which is only true for the first record of each customer and not the last. Option E is incorrect because it tries to assign ORDER DATE to itself, which is redundant and does not guarantee that the last order date is captured.

NEW QUESTION # 219
You are generating a report with PROC REPORT and have defined a complex set of break levels. You want to add a footnote at the end of each break level (e.g., at the bottom of each group or subtotal) that provides additional context or explanations for the data within that break. Which of the following approaches will achieve this placement of footnotes effectively?

A. Combine the FOOTNOTE statement with the SAT LEVEL' option and the 'BREAK statement to ensure accurate positioning at each break level.
B. Use the FOOTNOTE statement with the 'AT LEVEL' option, specifying the break level where the footnote should appear.
C. Employ the FOOTNOTE statement with the SAT PAGE option, and use the 'BREAK statement to control where the footnote should appear within the page.
D. Utilize the 'DEFINE statement with the T-OOTNOTE option to create a separate column for the footnote, then use the SAT LEVEL' option within the FOOTNOTE statement.
E. Include the FOOTNOTE statement within the 'BREAK statement for each level, ensuring the footnote is positioned at the end of each break.

Answer: B

Explanation:
The correct option is A: Use the FOOTNOTE statement with the 'AT LEVEL' option, specifying the break level where the footnote should appear. This approach allows for precise placement of footnotes at specific break levels within the report. Option B is incorrect because the FOOTNOTE statement cannot be placed within the 'BREAK statement. Options C and D are not supported syntax for the FOOTNOTE statement. Option E is a combination of A and B and is also incorrect.

NEW QUESTION # 220
You have a SAS dataset with a variable 'BIRTH DATE' in the format 'YYYYMMDD'. You want to create a new variable 'AGE' representing the person's age in years. Which SAS code snippet accomplishes this correctly?

Answer: D

Explanation:
The correct code snippet uses the 'intck' function to calculate the difference between two dates in years- Option 'C' correctly accounts for cases where the birthday hasnt yet occurred in the current year by subtracting 1 from the result. Other options either don't account for this or use incorrect intervals or functions.

NEW QUESTION # 221
You need to import a large Excel spreadsheet containing various data types, including numeric, text, and date values. The Excel file uses specific sheet names for different data categories. How would you use the LIBNAME statement and XLSX engine to import data from a specific sheet named 'SalesData' into a SAS dataset?

A. LIBNAME sales XLSX; DATA sales.salesdata; SET sales.SalesData; RUN,
B. LIBNAME sales XLSX SHEET-'SalesData'; DATA salessalesdata; SET sales SalesData; RUN,
C. LIBNAME sales XCSX; DATA salessalesdata; SET salesSaIesData; RUN
D. LIBNAME sales XcSX; DATA salessalesdata; SET salesSalesData; RUN
E. LIBNAME sales XLSX SHEET='SalesData', DATA salessalesdata; SET sales SalesData; RUN,

Answer: B

Explanation:
The LIBNAME statement with the XLSX engine allows you to specify a specific sheet using the 'SHEET:' option. Option B is incorrect because it does not specify the sheet name, leading to an error during data import. Options C, D, and E are incorrect due to syntax errors. The 'SHEET:' option should be placed directly after the engine name (XLSX) and the syntax for accessing the data should be consistent with SAS dataset naming conventions.

NEW QUESTION # 222
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