Pass Guaranteed SASInstitute - A00-215 - Updated SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Reliable Practice Materials

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BraindumpsPrep offers authentic A00-215 questions with accurate answers in their SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Exam practice questions file. These exam questions are designed to enhance your understanding of the concepts and improve your knowledge of the A00-215 Quiz dumps. By using these questions, you can identify your weak areas and focus on them, there by strengthening your preparation for the SAS Certified Associate: Programming Fundamentals Using SAS 9.4 (A00-215) Exam.

To prepare for the SASInstitute A00-215 exam, candidates are recommended to take the SAS Programming 1: Essentials course, which covers the basic concepts of SAS programming, data manipulation, and data analysis. Candidates should also have practical experience working with SAS 9.4 software, which can be gained through internships, projects, or work experience.

SASInstitute A00-215 Exam consists of 60 multiple-choice questions, and candidates are required to complete the exam within 2 hours. A00-215 Exam is administered at a Pearson VUE testing center, and the passing score is 70%. Candidates who pass the exam receive the SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification, which is a widely recognized credential in the industry.

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BraindumpsPrep A00-215 Web-Based Practice Test: For the SAS Certified Associate: Programming Fundamentals Using SAS 9.4 (A00-215) web-based practice exam no special software installation is required. Because it is a browser-based SASInstitute A00-215 practice test. The web-based SAS Certified Associate: Programming Fundamentals Using SAS 9.4 (A00-215) practice exam works on all operating systems like Mac, Linux, iOS, Android, and Windows. In the same way, IE, Firefox, Opera and Safari, and all the major browsers support the web-based A00-215 practice test.

SASInstitute A00-215 Exam is a pre-requisite for many advanced-level SAS certifications, such as the SAS Certified Base Programmer and SAS Certified Advanced Programmer. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is recognized globally and is highly valued by organizations that use SAS software for data management and analysis. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification demonstrates that the candidate has a solid foundation in SAS programming and is capable of using SAS software to solve real-world problems.

SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q59-Q64):

NEW QUESTION # 59
You are tasked with developing a SAS program that calculates the average monthly sales for a group of products. The program uses a macro to perform the calculations and outputs the results to a dataset. However, you realize that the average sales figures are significantly higher than expected. You suspect a logic error within the macro but struggle to pinpoint the exact location of the error. Which of the following strategies using the PUTLOG statement would be most effective in identifying the source of the logic error within the macro?

A. Use PUTLOG to print the values of the sales data for each product before and after any calculations within the macro.
B. Use PUTLOG to print the name and contents of each variable used in the macro, including the average sales variable, at various stages within the macro's execution.
C. Use PUTLOG to print the value of the average sales variable at the end of the macro execution.
D. Use PUTLOG to print the line numbers and the contents of all statements within the macro.
E. Use PUTLOG to print the entire macro code at the beginning of the program.

Answer: A,B

Explanation:
This question requires a more strategic approach to debugging. Printing the entire macro code (Option A) orthe average sales variable (Option B) won't provide enough information to pinpoint the issue. Printing line numbers (Option E) might help, but a more focused approach is needed. Options C and D offer the best solutions: ' ''Option Printing the values of the sales data for each product before and after any calculations within the macro allows you to trace the flow of data and see if the logic is producing unexpected values during the calculations. ' ''Option D:'' Printing the names and contents of all variables used in the macro, including the average sales variable, at various stages of execution allows you to track the values of each variable throughout the macro's processing. By combining these strategies, you can effectively track the flow of data and variable values, making it easier to isolate the location of the logic error and understand how it is affecting the results-

NEW QUESTION # 60
You are analyzing a dataset containing sales transactions for a retail store. Each transaction record has the following variables: '' TransactionDate'', ' 'CustomerlD'', ' 'ProductlD'', ' 'Quantity'', and ''UnitPrice''. You need to calculate the total sales for each customer, but only for transactions occurring in the month of January. How would you use the SUM statement within a DATA step to achieve this? Assume you've already filtered the dataset to include onl Janua transactions.

Answer: A

Explanation:
The correct answer is option A. The SUM statement in SAS works by accumulating values within a loop. Option A correctly uses the SUM statement to calculate the total sales for each customer within the loop defined by the BY CustomerlD statement. It initializes the total sales variable for each new customer and then uses SUM to accumulate the sales amount for that customer. Option B is incorrect because it uses RETAIN to keep the variable total_sales within the scope of the entire data step, rather than resetting it for each new customer. Option C is incorrect because it uses the SUM function without specifying a variable to accumulate, which leads to an error. Option D is incorrect because it attempts to calculate the total sales only when it encounters the last record for a particular customer. This results in only the final sales amount for each customer being included in the output. Option E is incorrect because it only calculates the sales amount for each transaction and doesn't accumulate the total sales for each customer.

NEW QUESTION # 61
Which program correctly subnets the SASHELP. BASEBALL data set to include only the players in the East Division with 75 or more hits?

A. data bball;
set sashelp.baseball;
where Division = 'East' and nHits >= 75;
run;
B. data bball;
set sashelp.baseball;
where Division = 'East';
where nHits >= 75;
run;
C. data bball;
set sashelp.baseball;
where Division and nHits in ('East' and 75+);
run;
D. data bball;
set sashelp.baseball;
where Division - 'East' or nHits >= 75;
run;

Answer: A

Explanation:
To subset data in SAS using the data step, the where statement is used to specify the conditions that observations must meet to be included in the new data set. The correct syntax for subsetting the SASHELP.BASEBALL data set to include only players in the 'East' Division with 75 or more hits is as follows:
data bball;
set sashelp.baseball;
where Division = 'East' and nHits >= 75;
run;
This code, as shown in option D, uses the where statement with the correct logical operator and to ensure that both conditions must be true for a record to be included in the new dataset. Options A, B, and C either use incorrect syntax or logical operations that do not match the required conditions for the subset. Option A has an incorrect combination of conditions, B uses two where statements which is not valid syntax, and C incorrectly uses the or operator which would include players not in the 'East' Division or with fewer than 75 hits.

NEW QUESTION # 62
You have a SAS dataset named 'SALES with variables 'Region', 'Product', 'Sales_Amount', and 'Date'. You want to generate a report summarizing the total sales amount for each region, sorted in descending order of total sales. Which PROC PRINT statement with LABEL and NOOBS options would achieve this?

Answer: B

Explanation:
It includes the following elements: PROC PRINT DATA=SALES NOOBS LABEL='Total Sales by Region';- This specifies the dataset, NOOBS (no observation numbers), and assigns the label 'Total Sales by Region'. VAR Region Sales_Amount;: This specifies the variables to include in the report SUM Sales_Amount;: This calculates the sum of the 'Sales_Amount' variable for each region. BY Region; This groups the data by the 'Region' variable, ensuring that totals are calculated for each region separately. Option A, B, D, and E are incorrect because they either miss key elements like the BY statement or lack the SUM statement for calculating totals, or include incorrect variables in the VAR statement.

NEW QUESTION # 63
Given the input data set WORK.RUN:

Given the following DATA step:

What is the correct output data set WORK.RUN2?
A)

B)

C)

D)

A. Option
B. Option
C. Option
D. Option

Answer: D

NEW QUESTION # 64
......

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PASS GUARANTEED SASINSTITUTE - A00-215 - UPDATED SAS CERTIFIED ASSOCIATE: PROGRAMMING FUNDAMENTALS USING SAS 9.4 RELIABLE PRACTICE MATERIALS

Pass Guaranteed SASInstitute - A00-215 - Updated SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Reliable Practice Materials