Free PDF Quiz 2025 SASInstitute A00-215: SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Perfect Reliable Exam Labs
Free PDF Quiz 2025 SASInstitute A00-215: SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Perfect Reliable Exam Labs
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P.S. Free 2025 SASInstitute A00-215 dumps are available on Google Drive shared by 2Pass4sure: https://drive.google.com/open?id=1OajNIZ6L5vRyCmWh0NKs-KrWAwgapxmS
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SASInstitute A00-215 certification exam is designed to test the skills and knowledge of individuals in SAS programming. A00-215 exam includes 70 multiple-choice questions, and candidates have 110 minutes to complete the test. The topics covered in the exam include SAS programming fundamentals, data manipulation, data analysis, and reporting. Passing the exam requires a score of at least 70%, and the certification is valid for three years.
SASInstitute A00-215 Certification Exam is ideal for those who want to pursue a career in data analysis or business intelligence. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification exam is also recommended for programmers who want to enhance their skills in SAS programming. Candidates who pass A00-215 exam are recognized as SAS Certified Associates and are qualified to work with SAS software.
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2025 A00-215: SAS Certified Associate: Programming Fundamentals Using SAS 9.4 –High-quality Reliable Exam Labs
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SASInstitute A00-215 Certification Exam is designed for individuals who want to demonstrate their understanding and proficiency in programming fundamentals using SAS 9.4. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is ideal for those who are looking to start a career in the field of data analytics or data science. SASInstitute A00-215 Certification is widely recognized in the industry and can help individuals advance their careers in the field of data analytics.
SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q251-Q256):
NEW QUESTION # 251
Which statements read the input data set SASHELP. SHOES and create the output data set WORK. TOTAL?
- A. data sashelp.shoes;
output work.total; - B. data sashalp.shoes;
out work.total; - C. data work.total;
set sashelp.shoes; - D. data out=work.total;
input sasholp.shoes
Answer: B
NEW QUESTION # 252
Which PROC MEANS program creates the report below?
- A. proc means data-esea= ashelp. shoes.
sum Salad;
mean Sales;
by product;
run." - B. proc means data-sashelp. shoes sum mean;
var Sales;
Class Product;
run; - C. proc means data=sashelp.'shoes
var Sale;
group Product;
run/ - D. Pror moans data-uashelp . shoes sum mean nobe;
by sales;
class product
Answer: B
NEW QUESTION # 253
You have a SAS dataset named 'CUSTOMERS' with variables 'CUSTOMER ID', 'CITY', 'STATE', and 'SALES'. You need to create a new dataset called 'HIGH SALES' containing only customers from the state 'CA' who have sales greater than $10000. Which code snippet will achieve this?
- A.
- B.
- C.
- D.
- E.
Answer: E
Explanation:
The correct code snippet is Option A In SAS, the ' if statement is used to filter observations during dataprocessing. The statement checks if the specified conditions are met- If the condition is true, the observation is processed; otherwise, it is excluded- In this scenario, the 'if statement checks if both 'STATE = 'CA" and 'SALES > 10000' are true. Only those observations satisfying both conditions will be included in the new dataset 'HIGH SALES' Option B uses 'where which is incorrect as it is used for filtering observations before the data step- Options C, D, and E are incorrect as they do not correctly combine the two conditions required to filter the observations. Option C has an incorrect syntax Option D processes all observations from 'CA' and all observations with sales greater than 10000 but not both conditions. Option E includes an unnecessary 'output' statement.
NEW QUESTION # 254
You have a dataset 'SalesData' with a variable 'Region' containing values like 'North', 'South', 'East', and 'West'. You want to create a format that labels 'North' and 'South' as 'Northern Hemisphere' and 'East' and 'West' as'Eastern Hemisphere'. Which code snippet correctly defines this format?
- A.
- B.
- C.
- D.
- E.
Answer: D
Explanation:
The correct answer is B. This option uses commas to list multiple values that should be mapped to the same label. This is the most efficient and readable way to handle multiple values. Option A is redundant and unnecessarily long- Options C and D are incorrect because the operator is used for ranges of numeric values, not string comparisons. Option E is incorrect because it doesn't correctly map 'East' and 'West' to 'Eastern Hemisphere' Option B correctly defines the format for the desired labeling.
NEW QUESTION # 255
You have a dataset with a variable 'STATUS' containing values 'Active', 'Inactive', 'Pending'. You want to create a custom format 'statusfmt' to display these values as 'A', 'P' respectively, but also handle any unknown values as 'U'. Which PROC FORMAT code achieves this?
- A.
- B.
- C.
- D.
- E.
Answer: B,E
Explanation:
The correct code snippets are options A and C. They both correctly use the 'OTHER keyword (or its equivalent 'UNKNOWN') in the VALUE statement to handle unknown values. This ensures that any value in the 'STATUS variable that doesn't have a specific mapping in the format will be displayed as 'U'. Option B uses 'DEFAULT which is not a valid keyword for handling unknown values in PROC FORMAT. Options D and E are incorrect because they either reverse the mapping or miss handling unknown values.
NEW QUESTION # 256
......
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