Learn the real Questions and Answers for the SASInstitute A00-215 exam

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To prepare for the exam, candidates should have a basic understanding of programming concepts and experience working with data. SAS offers a range of training courses and resources to help candidates prepare for the exam, including e-learning courses, certification prep guides, and practice exams. Candidates can also gain hands-on experience with SAS programming by working on sample projects and data sets.

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The SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is ideal for individuals who are starting their career in data analytics and want to acquire knowledge and skills in SAS programming. Individuals who are preparing for the exam will benefit from training courses and resources provided by SASInstitute. With an SAS Certification, professionals can demonstrate their proficiency in SAS programming to potential employers, and hence, increase their chances of employment in the data analytics field.

SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q373-Q378):

NEW QUESTION # 373
You have a dataset called 'INVENTORY' with variables 'ITEM ID', 'QUANTITY ON HAND', and 'COST PER ITEM'. You want to calculate the total value of inventory for each item ID, but only if the quantity on hand is greater than 50. Which SAS code snippet would accomplish this?

Answer: B,C

Explanation:
Both options C and E are correct Option C utilizes PROC MEANS with the SUM function to calculate the total value for each ITEM_ID, filtering for quantities greater than 50. Option E uses PROC SQL with the SUM function and GROUP BY to achieve the same result. Option A incorrectly uses the assignment operator to calculate the total value without considering the grouping. Option B uses SUM incorrectly in the data step, as SUM is used for calculating the sum of multiple observations. Option D incorrectly calculates the mean instead of the sum. The question emphasizes the practical application of calculating total inventory value, highlighting the importance of understanding both PROC MEANS and PROC SQL.

NEW QUESTION # 374
You have a dataset containing a variable 'Product_Code' with values like 'ABCI 234', 'DEF5678', 'GH19012'. You want to extract the first 3 characters of each product code and store them in a new variable 'Product Category'. Which code snippet correctly achieves this using the SUBSTR function?

Answer: D

Explanation:
Here's the explanation: , 1, extracts a substring from 'Product_Code' starting at position 1 (the first character) and continuing for 3 characters, resulting in the first 3 characters of the product code. Option B extracts only the 3rd character of the string. Option C extracts the substring starting from the 3rd character until the end of the string, which is not what's required. Option D extracts the substring starting from the 1st character and ending 3 characters before the end of the string, resulting in the first 3 characters being extracted. Option E is the correct answer. Only option A correctly extracts the first 3 characters.

NEW QUESTION # 375
You have a dataset with customer purchase records, including their customer ID, purchase date, and purchase amount. You want to calculate the average purchase amount for each customer but only for the purchases made in the last three months. Using the DATA step, how would you modify the code to achieve this, taking advantage of BY group processing with FIRST. and LAST. variables?

A. data customer_avg; set purchases; by customer_id; retain avg_amount 0 count 0; if first.customer_id then if intck('month' , purchase_date,
B. data customer_avg; set purchases; by customer_id; retain avg_amount 0; count=0; if first.customer_id then count+l; if then avg_amount+purchase_amount; output; run; data customer_avg; set purchases; by customer_id; retain avg_amount 0 count 0; if first.customer_id then do; avg_amount=0;
C. count-0; end; if intck('month',purchase_date,today())<=3 then do; avg_amount=purchase_amount; count+l; end; output; run;
D. =3 then do; avg_amount+purchase_amount; count+l; end; output; run; data customer_avg; set purchases; by customer_id; retain avg_amount 0; if first.customer_id then if intck('month' , purchase_date, today())< =3 then avg_amount+purchase_amount; output; run;
E. count-0; end; if then do; avg_amount+purchase_amount; count+l; end; output; run; data customer_avg; set purchases; by customer_id; retain avg_amount 0 count 0; if first.customer_id then do; avg_amount=0;

Answer: A

Explanation:
Option D is the correct answer because it correctly initializes the 'avg_amount' variable to zero for each customer's first record, it only considers purchases within the last three months, and it calculates the average by dividing the accumulated purchase amount by the count of transactions within the three-month window. Options A, B, C, and E either incorrectly initialize the variables or do not correctly compute the average within the specific time frame.

NEW QUESTION # 376
Which statement is true regarding variable names?

A. Variable names can start with a number or an underscore
B. Variable names are optional when you create a data set
C. Variable names are case sensitive.
D. Variable names are from 1 to 32 characters in length.

Answer: D

NEW QUESTION # 377
You have a dataset 'EMPLOYEES' with variables 'EMPLOYEE ID', 'DEPARTMENT', and 'SALARY'. You want to create a new dataset 'HIGHEST SALARY BY DEPT' that contains the highest salary for each department. However, you also need to create a variable called 'RANK' that indicates the rank of each employee's salary within their department, with the highest salary being ranked 1. Which of the following DATA step code snippets will achieve this correctly?

Answer: E

Explanation:
Option E is the only correct code snippet that correctly creates the 'HIGHEST_SALARY_BY_DEPT dataset with the highest salary for each department and assigns a rank to each employee within their department. It uses the statement with 'DEPARTMENT to group the data and the 'last. DEPARTMENT ' flag to identify the last observation within each department. The function assigns a rank to each employee's salary within their department, with the highest salary being ranked 1. Option A only outputs the last observation for each department, which is not necessarily the highest salary. Option B only outputs the first observation for each department, which is not necessarily the highest salary. Option C assigns a rank of 1 to all the last observations for each department, which is incorrect Option D assigns a rank of 1 to all the first observations for each department, which is incorrect.

NEW QUESTION # 378
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LEARN THE REAL QUESTIONS AND ANSWERS FOR THE SASINSTITUTE A00-215 EXAM

Learn the real Questions and Answers for the SASInstitute A00-215 exam