Free Real SASInstitute A00-215 Exam Questions Updates and a Free Demo

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SASInstitute A00-215 exam consists of 60 multiple-choice questions that need to be completed within 110 minutes. A00-215 exam is available in English and Japanese languages. A00-215 exam fee varies based on the country of the candidate, and it can be paid online using a credit card. The passing score for the SASInstitute A00-215 exam is 70%, and the results are available immediately after the exam.

The SAS Certified Associate: Programming Fundamentals Using SAS 9.4 exam is aimed at individuals who have a basic understanding of programming concepts and are looking to learn SAS programming language. A00-215 Exam covers a broad range of topics including data manipulation, data analysis, reporting and programming essentials. A00-215 exam is conducted in a multiple-choice format and consists of 60-65 questions.

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SASInstitute A00-215 Certification Exam is designed for individuals who want to validate their knowledge and skills in programming with SAS 9.4. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is ideal for beginners who are looking to build a career in data analytics and want to gain a strong foundation in SAS programming. A00-215 Exam covers a variety of topics, including data manipulation, data analysis, and report generation using SAS programming language.

SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q203-Q208):

NEW QUESTION # 203
You have a dataset with a variable named PHONE NUMBER' containing phone numbers in various formats (e.g., (123) 456-7890, 123-456-7890, 1234567890). You need to extract the area code from each phone number. Which SAS code snippet accomplishes this using the 'SCAN' function?

Answer: B

Explanation:
The correct code snippet is option E. It uses the 'SCAN' function with the following arguments: 1. The 'PHONE_NUMBER' variable. 2. The first word to extract (1).3. The delimiter 4. The position of the delimiter from the end of the string (1). This extracts the area code, which is enclosed in parentheses, from the phone number. Option A will extract the first word before the hyphen. Option B will extract the first word before a space. Option C will extract the first word before the closing parenthesis_ Option D will extract the last word after an opening parenthesis. Option E correctly extracts the first word before the closing parenthesis from the end of the string.

NEW QUESTION # 204
You have a dataset with a variable called 'DateOfBirth' in the format 'MMDDYY'. You need to create a new variable 'Age' that calculates the patient's age in years based on today's date. Which code snippet correctly calculates the age and handles leap years accurately?

Answer: B

Explanation:
''Converting to SAS Date Values:'' We need to convert the 'DateOfBirth' variable from its 'MMDDYY format to a SAS date value. This is done using the 'input()' function and specifying the format 'mmddyy10.'. 2. ''Calculating the Age:'' The 'intck()' function calculates the difference between two dates in a specified interval. We use 'year' to get the age in years. 3. ''Using The function provides the current date in SAS date format, which is essential for calculating the age. 4. ''Handling Leap Years:'' The ' function automatically handles leap years, ensuring accurate age calculations. ''Why the other options are incorrect:'' ' & These options use incorrect date formats and do not convert 'DateOfBirth' to a SAS date value. C. This option uses 'yymmdd8.', which is not the correct format for 'MMDDYY' input ' This option uses the 'date()' function, which returns a system date string that cannot be directly used with 'intck()'.

NEW QUESTION # 205
You have a dataset named 'Customer _ Data' with customer information, including their purchase history. You need to create a new dataset named 'Loyal_Customers' containing only customers who have made at least 5 purchases within the last year. Additionally, you need to retain only the CustomerlD and Total Purchases variables in the new dataset. Which code snippet correctly uses the OUTPUT statement to achieve this?

Answer: C

Explanation:
It correctly uses the 'keep' option in the 'data' statement to retain only the CustomerlD and Total_Purchases variables. It also utilizes the 'if statement to filter for customers with at least 5 purchases within the last year. The 'OUtPUt' statement writes the filtered observations to the Loyal_Customers dataset. Options A, B, C, and E are incorrect. Option A and E are incorrect because they attempt to specify the variables to be output directly within the 'output' statement, which is not the correct syntax. Option B is incorrect because it does not specify the variables to be retained in the new dataset. Option C is incorrect because it uses the 'keep' option correctly, but the 'output' statement is missing the dataset name.

NEW QUESTION # 206
You are working with a SAS dataset 'SALES' containing sales data for different products. The dataset has variables 'PRODUCT ID', 'SALES DATE', 'SALES AMOUNT', and 'REGION'. You need to create a new dataset named 'SALES QI' that includes only sales records for the first quarter (January, February, March) of the year and renames the 'SALES DATE' variable to 'SALES DATE QI'. Which code snippet correctly achieves this?

Answer: E

Explanation:
Option C correctly combines the RENAME= option to change the variable name and the WHERE clause to filter the data for the first quarter. The RENAME: option is used within the SET statement to rename the SALES_DATE variable to SALES_DATE_QI. The WHERE clause filters the data by checking if the MONTH function applied to the SALES DATE variable is within the range of 1, 2, or 3, representing January February, and March, respectively. The other options are incorrect because they either do not rename the variable correctly use incorrect filtering logic, or try to use OBS= to limit the observations, which is not the right approach for this scenario.

NEW QUESTION # 207
Which step temporarily assign a format to the sales variable?

A. Proc print data= sashelp. Shoes
Format sales comma12.;
Run;
B. Proc format;
Formatsales comma12.;
Run;
C. Proc contents data=sashelp.shoes;
Format Sales comma12.;
Run;
D. Data sasuer. Shoes
Set sashelp,sheoes;
Format sales comma12.;

Answer: A

Explanation:
The correct answer is D. This option uses the PROC PRINT procedure, which is used to print SAS data sets.
The format statement within PROC PRINT temporarily assigns a format to a variable for the duration of the PROC PRINT step. Here is how it works:
* data=sashelp.shoes; tells SAS which dataset to print.
* Format sales comma12.; temporarily assigns a comma format to the sales variable, making it easier to read, especially if the numbers are large. The comma12. format adds commas for thousands, millions, etc., and displays the number in a field that is 12 characters wide.
* The format is only applied for the duration of the PROC PRINT step and does not permanently change the dataset.
The other options are incorrect for the following reasons:
* Option A attempts to use a PROC FORMAT step, which is for creating custom formats, not for assigning formats to variables in a dataset.
* Option B uses a DATA step which could permanently assign the format to the sales variable if it were
* syntactically correct (it should be set sashelp.shoes; instead of Set sashelp,sheoes;).
* Option C mentions PROC CONTENTS which displays metadata about variables in a dataset and does not have the capability to assign formats.
References:
* SAS 9.4 documentation for the PROC PRINT statement: SAS Help Center: PROC PRINT

NEW QUESTION # 208
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FREE REAL SASINSTITUTE A00-215 EXAM QUESTIONS UPDATES AND A FREE DEMO

Free Real SASInstitute A00-215 Exam Questions Updates and a Free Demo