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SASInstitute A00-215 exam is a certification exam designed for individuals who want to become certified as SAS programmers. A00-215 exam is intended to test the candidate's knowledge of programming fundamentals using SAS 9.4. It is a globally recognized certification exam that is recognized by many organizations worldwide. The SASInstitute A00-215 exam covers topics such as SAS programming basics, data manipulation, data reporting and analysis, and debugging SAS programs.
The A00-215 exam is designed to test the candidate’s proficiency in basic programming concepts and techniques in SAS. A00-215 exam is divided into six categories: Accessing Data, Creating Data Structures, Managing Data, Generating Reports, Handling Errors, and Debugging SAS Programs. A00-215 Exam will test the candidate’s ability to use the SAS programming language to solve real-world problems.
SASInstitute A00-215 Certification Exam is an excellent opportunity for individuals to showcase their SAS programming skills and knowledge. It is also a great way to differentiate themselves from other candidates in the job market. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification can help individuals secure high-paying jobs in data analysis and business intelligence. The SASInstitute A00-215 certification is valid for three years, after which individuals can renew it by passing the SASInstitute A00-211 (SAS Base Programming for SAS 9) exam.
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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q270-Q275):
NEW QUESTION # 270
You have a dataset with a variable 'Age' that represents the ages of participants in a study. You want to create a frequency report that shows the number of participants in each age group: 18-25, 26-35, 36-45, and 46 and above. Using PROC FREQ and the NOCUM and NOPERCENT options, how would you achieve this?
Answer: B,E
Explanation:
The correct options are A and C. Both options use the 'format' statement to create an age group variable based on the age values. Option A uses the 'format age age_group.;' statement which creates a new variable named 'age_group' based on the specified format. Option C uses the 'format age age_group.' statement in conjunction with the 'where' statement. The 'where' statement is not strictly required to achieve the desired result but adds an extra filtering step and ensures that only the observations where age falls within the specified ranges are considered. Option B is incorrect because the 'where' statement uses incorrect ranges. Option D is incorrect as it does not use the correct age ranges. Option E is incorrect because it does not use the correct age ranges.
NEW QUESTION # 271
You have a SAS dataset 'PRODUCT SALES' with variables 'PRODUCT ID', 'SALES DATE', 'QUANTITY SOLD', and PRICE'. You need to create a new dataset 'MONTHLY SALES' that only includes observations where 'SALES DATE' falls within the month of June (regardless of year) and the 'PRICE' is greater than 100. Which code snippet would you use to achieve this?
Answer: A
Explanation:
The correct code snippet is option B. It utilizes the 'month' function to extract the month from the 'SALES_DATE' variable and compares it to 6 (June). Additionally, it incorporates the 'PRICE' condition, ensuring only observations with 'PRICE' greater than 100 are included in the new dataset 'MONTHLY_SALES'. Option A only filters by month, neglecting the price criterion. Option C filters for a price less than 100, which contradicts the requirement. Option D attempts to compare the 'SALES DATE' variable to a string 'June', which is incorrect syntax. Option E only filters by month and lacks the 'then' statement for outputting to the new dataset.
NEW QUESTION # 272
You have a dataset with a variable 'OrderDate' representing the date an order was placed. You want to create a new variable 'Quarter' that indicates the calendar quarter (QI , Q2, Q3, Q4) in which the order was placed. Which SAS code snippet correctly creates the 'Quarter' variable?
Answer: E
Explanation:
To determine the quarter, you need to divide the month by 3, round down to the nearest integer (using 'int'), and then add 1 to get the correct quarter number (QI for months 1-3, Q2 for months 4- 6, etc.). Option B correctly uses the 'int' function to round down the result of the division and then adds 1 to the value before applying the 'QI format. Option A only divides the month by 3 and does not round down or add 1, resulting in incorrect quarter assignments. Option C uses an 'if-else' statement to assign quarters based on the month, which is a valid approach but less efficient. Option D rounds down the result of the division but does not add 1, resulting in incorrect quarter assignments. Option E divides the month by 3 and then applies the '(24.' format, which would result in incorrect quarter assignments.
NEW QUESTION # 273
You have a dataset named 'CUSTOMERS' containing customer information. You need to create a sorted dataset named 'CUSTOMERS SORTED' based on the 'STATE' variable, but only for customers who are 'Active'. Which PROC SORT statement achieves this?
Answer: C
Explanation:
Option B is the correct answer The WHERE clause is specified within the DATA= option of PROC SORT, filtering the data before sorting. This ensures only active customers are included in the sorted dataset. Options A, C, and E have incorrect placement of WHERE and BY statements. Option D sorts by 'STATE' in descending order, which is not specified in the requirement.
NEW QUESTION # 274
Which line contains a syntax error?
Answer: D
NEW QUESTION # 275
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