Well A00-215 Prep & Detailed A00-215 Answers

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The SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification exam is intended for both novice and experienced SAS programmers, who seek to obtain a higher-level understanding of SAS programming language. The SASInstitute A00-215 exam is particularly valuable for those who wish to specialize in SAS programming and data analysis.

SASInstitute A00-215 certification exam covers a wide range of topics, including SAS programming basics, data manipulation, data analysis, and reporting. A00-215 exam consists of multiple-choice questions, and the duration of the exam is two hours. A00-215 exam is available in English and Japanese, and candidates can take the exam at any Pearson VUE testing center.

SASInstitute A00-215 Exam covers a wide range of topics related to SAS programming, including data manipulation, reading and writing SAS data sets, SAS programming structure, SAS procedures, and SAS programming techniques. A00-215 exam is conducted online, and candidates are given two hours to complete it. A00-215 exam consists of 60 multiple-choice questions, and the passing score is 70%. A00-215 exam is available in multiple languages, including English, Japanese, and Chinese.

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q60-Q65):

NEW QUESTION # 60
You are analyzing a dataset containing customer demographics and product purchase information. You want to generate a two-way frequency table displaying the relationship between customer age groups (categorized as 'Young', 'Middle-Aged', and 'Senior') and product type (categorized as 'Electronics', 'Clothing', and 'Food'). Which PROC FREQ option would you use to control the layout of this two-way table so that customer age groups appear as rows and product types appear as columns?

Answer: C

Explanation:
The option in PROC FREQ allows you to control the layout of two-way tables by specifying the variables that will appear as rows and columns. In this case, the code CROSSLIST will display customer age groups as rows and product types as columns in the frequency table.

NEW QUESTION # 61
You are analyzing a dataset named 'EMPLOYEES' with variables 'EmployeelD', 'Department', and 'Salary'. You want to create a new dataset 'HIGHEST SALARY' that contains the employee with the highest salary in each department. Which SAS code snippet correctly performs this task?

Answer: B,E

Explanation:
The correct code snippets are A and D- Option A sorts the dataset by Department and then by Salary in descending order. It then uses a BY statement in a DATA step to output the first observation for each department, which corresponds to the employee with the highest salary. Option D uses PROC RANK to assign a rank to each salary within each department, with the highest salary receiving a rank of 1. It then uses a DATA step to select only observations with a rank of 1- Option B is incorrect because it only outputs the maximum salary for each department, not the corresponding employee information. Option C is incorrect because it only calculates the maximum salary for each department, not the corresponding employee information. Option E is incorrect because it outputs the last observation for each department, which may not be the employee with the highest salary.

NEW QUESTION # 62
You have a dataset with a variable 'SalesAmount' representing sales figures. You need to create a new variable called 'SalesCategory' that categorizes sales based on thresholds: 0-1000 as 'Low', 1001-5000 as 'Medium', and above 5000 as 'High'. Which code snippet correctly uses a FORMAT statement to achieve this?

Answer: A

Explanation:
The correct answer is E. The FORMAT statement uses the 'value' option to define the format, mapping numeric ranges to corresponding text values. The format is applied to the 'SalesAmount' variable using the PUT function, creating the 'SalesCategory' variable. Option E correctly defines the thresholds with '5001-' to include all values greater than 5000. Options A, B, C, and D have errors in the format definition, either using incorrect range expressions or not covering all cases.

NEW QUESTION # 63
You are working with a SAS program that reads data from a file and performs some calculations. The program runs without errors, but the results seem incorrect. You suspect that the program is not reading the data correctly from the file. Which of the following statements would be the most effective way to resolve this issue?

A. Use the SET statement with the keyword 'KEEP' to select specific variables from the input file.
B. Use the INPUT statement with the 'COLUMN' option to specify the column position of the variables in the input file.
C. Use the INPUT statement with the 'LENGTH' option to specify the length of each variable in the input file.
D. Use the INPUT statement with the '@@' option to read the next observation without advancing to the next line.
E. Use the INFILE statement with the keyword 'MISSOVER' to skip over missing values in the input file.

Answer: B

Explanation:
The most effective way to resolve this issue is to use the INPUT statement with the 'COLUMN' option to specify the column position of the variables in the input file- This ensures that the program reads the data from the correct columns, avoiding potential data misalignment issues. Option A, using the SET statement with the 'KEEP' keyword, is used to select specific variables from the input file but doesn't directly address data reading issues. Option B, using the '@@' option, is used to read multiple lines from the same input record, which is not relevant to this scenario- Option C, using the 'MISSOVER' keyword, is used to skip over missing values in the input file, not to ensure correct data reading Option E, using the 'LENGTH' option, specifies the length of each variable in the input file but does not guarantee accurate data reading. Therefore, using the INPUT statement with the 'COLUMN' option is the most effective approach for resolving this issue.

NEW QUESTION # 64
A dataset has a variable 'AGE' containing values like 25.3, 31.7, 42.1. You need to truncate these values to the nearest whole number, discarding any fractional part. Which SAS code snippet accomplishes this correctly?

Answer: A

Explanation:
Option B uses the 'int' function, which specifically truncates the decimal part of a number, leaving only the whole number part Options A, C, and E involve rounding, which may result in different values depending on the fractional part. Option D uses 'ceil', which rounds up to the nearest whole number, not truncating.

NEW QUESTION # 65
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WELL A00-215 PREP & DETAILED A00-215 ANSWERS

Well A00-215 Prep & Detailed A00-215 Answers