A00-215 Valid Exam Question & A00-215 Trustworthy Dumps

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SASInstitute A00-215 is a certification exam designed for individuals who want to establish a solid foundation in SAS programming language. The SAS Certified Associate: Programming Fundamentals Using SAS 9.4 exam is an entry-level exam that measures the candidate's knowledge of basic programming concepts and data manipulation techniques using SAS software.

SASInstitute A00-215 exam consists of 65 multiple-choice and short-answer questions that must be completed within 105 minutes. A00-215 Exam covers topics such as SAS programming basics, data manipulation and management, data reporting and analysis, and debugging and error handling. Candidates must score at least 70% to pass the exam and earn the SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification.

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q18-Q23):

NEW QUESTION # 18
Which two correctly create a SAS date value? (Choose two.)

A. "190ct2019"d
B. "10/19/2019"d
C. mdy (19, Oct, 2019)
D. mdy (10, 19, 2019)

Answer: A,B

Explanation:
To create SAS date values, the correct syntax involves specifying the date in a string format followed by the letter 'd'. This indicates to SAS that the string should be interpreted as a date value. Therefore, the correct answers are:
* A. "10/19/2019"d - This format directly specifies the month, day, and year, enclosed in quotes followed by 'd', which SAS correctly interprets as a date value.
* C. "19Oct2019"d - This format uses a three-letter abbreviation for the month combined with the day and year, also followed by 'd'. This is another valid way to specify a date in SAS.
Option B, mdy(10, 19, 2019), is incorrect because while the MDY function does create date values from month, day, and year components, the function itself should be used within a DATA step or another context where SAS functions are evaluated, and it doesn't directly create a date literal in the same way as options A and C.
Option D, mdy(19, Oct, 2019), is syntactically incorrect because the MDY function expects numeric arguments for the month, day, and year, and "Oct" as a literal month name is not a valid numeric argument.
References: SAS 9.4 Language Reference: Concepts.

NEW QUESTION # 19
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. Employ the FOOTNOTE statement with the SAT PAGE option, and use the 'BREAK statement to control where the footnote should appear within the page.
B. Include the FOOTNOTE statement within the 'BREAK statement for each level, ensuring the footnote is positioned at the end of each break.
C. 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.
D. Combine the FOOTNOTE statement with the SAT LEVEL' option and the 'BREAK statement to ensure accurate positioning at each break level.
E. Use the FOOTNOTE statement with the 'AT LEVEL' option, specifying the break level where the footnote should appear.

Answer: E

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 # 20
Which of the following SAS code snippets will result in a syntax error? Select all that apply.

Answer: B,E

Explanation:
Option B is incorrect as SAS does not support assigning a value to an expression. Option E is incorrect as the age variable is numeric, but the assignment is a character string. All other options are valid SAS syntax. Option A creates a new variable and assigns 10 if the age is greater than 10. Option C assigns the age value plus 10 to the age variable if the age is greater than 10. Option D is a valid SAS syntax with a conditional assignment.

NEW QUESTION # 21
You are working with a SAS dataset named 'SALES containing information about sales transactions. The dataset has a variable 'PRODUCT ID' and 'QUANTITY SOLD'. You want to create a new dataset 'SALES SUMMARY' that summarizes the total quantity sold for each product. Which code snippet would you use to achieve this?

Answer: E

Explanation:
It uses the 'by' statement to group observations by 'PRODUCT_ID', initializes 'sum_quantity' to 0 for the first observation of each product, and accumulates the total quantity sold using 'sum_quantity + QUANTITY SOLD. The 'output' statement writes the summarized data to the new dataset 'SALES_SUMMARY. Option B incorrectly uses for the summation. Options C and E use , which calculates the sum for the entire dataset instead of grouping by product. Option D omits initialization of 'sum_quantity' and uses 'sum_quantity + QUANTITY_SOLD incorrectly without a clear accumulation logic.

NEW QUESTION # 22
You have a SAS dataset named 'CUSTOMERS' with variables 'CUST D', 'NAME', 'CITY', 'STATE', and 'ZIP'. You need to create a new dataset called 'ACTIVE CUSTOMERS' that contains only the first 100 observations from the 'CUSTOMERS' dataset and includes only the 'CUST ID' and 'NAME' variables. Which code snippet will correctly achieve this?

Answer: C

Explanation:
The correct code snippet is option D. The 'keep:' option in the 'set' statement specifies which variables to include in the new dataset, and the option limits the number of observations read from the original dataset to the first 100. Option A incorrectly uses the 'obs=' option in the 'keep=' statement, which is not valid syntax. Option B incorrectly uses the option to remove unnecessary variables and the 'output' statement is redundant. Option C correctly limits the observations but does not specify the number of observations to read. Option E incorrectly uses the 'drop=' option to remove unnecessary variables.

NEW QUESTION # 23
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A00-215 VALID EXAM QUESTION & A00-215 TRUSTWORTHY DUMPS

A00-215 Valid Exam Question & A00-215 Trustworthy Dumps