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Free PDF SASInstitute - Perfect A00-215 - SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Best Practice
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The SASInstitute A00-215 exam consists of 65 multiple-choice questions that must be completed within a time limit of 110 minutes. The questions cover a range of topics, including SAS programming syntax, data manipulation techniques, and basic statistical procedures. A00-215 exam is offered in English and can be taken at a Pearson VUE testing center or online with a remote proctor.
SASInstitute A00-215 Certification Exam is a computer-based exam that comprises 65 multiple-choice and short-answer questions. Candidates have 110 minutes to complete the exam, and the passing score is 70%. A00-215 exam is administered at SASInstitute testing centers worldwide.
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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q13-Q18):
NEW QUESTION # 13
You have two SAS datasets, 'ORDERS' and 'PRODUCTS', with common key variables 'ORDER ID' and 'PRODUCT ID'. You want to merge these datasets, but you need to process records from 'ORDERS' even if there's no matching 'PRODUCT ID' in the 'PRODUCTS' dataset. How would you modify the MERGE statement to ensure all records from 'ORDERS' are included in the final dataset, while still merging on both 'ORDER ID' and 'PRODUCT ICY?
- A.

- B.

- C.

- D.

- E.

Answer: C
Explanation:
The correct answer is option A By using the condition 'if orders_in;' within the MERGE statement, we ensure that all records from the 'ORDERS' dataset are included in the final dataset, regardless of whether a match is found in the 'PRODUCTS' dataset. The 'by' statement correctly specifies the merge variables, ensuring that matching records are properly merged when available.
NEW QUESTION # 14
The sashelp. class data set has 19 observations.
Given the frequency information about the Age, shown below:
How many observations are written to output data set when the following code is submitted?
- A. preteen will have 7 observations and teen will have 12 observations
- B. preteen will have 7 observations and teen will have 19 observations
- C. preteen will have 26 observations and teen will have 31 observations
- D. preteen will have 10 observations and teen will have 9 observations
Answer: C
NEW QUESTION # 15
Given the display of the CITIES data set:
Which program creates the PROC PRINT report below?
- A. proc print data=cities showlabelse;
label Name= ' Employee Name
City =Birth City - B. proc print data-cities label noobs;
label Name='Employee Name'
City=' Birth City' ;
run; - C. options noobs labels;
proc print data=cities;
display Name=' Employee Name*
city='Birth City',
run; - D. proc print data=cities ;
Name=' Employee Name' ;
City='Birth City';
run;
Answer: D
NEW QUESTION # 16
You are working with a SAS dataset called 'EMPLOYEE DATA' that includes variables 'EMPLOYEE ID', 'NAME', 'DEPARTMENT', 'SALARY', and 'HIRE DATE'. You need to analyze the relationship between 'SALARY' and 'HIRE DATE' for employees in the 'Sales' department. However, you notice that some 'HIRE DATE' values are missing. Which of the following SAS code snippets would be most suitable for handling missing values in 'HIRE DATE' while still performing the analysis?
- A.

- B.

- C.

- D.

- E.

Answer: B
Explanation:
The most suitable code snippet for analyzing the relationship between 'SALARY' and 'HIRE_DATE' while handling missing values is option A, using PROC CORR. PROC CORR calculates correlation coefficients, and it automatically excludes missing values from the analysis. Options B, C, and D all attempt to use procedures like PROC GLM, PROC SGPLOT, and PROC REG, which are designed for more complex statistical models and might have difficulties dealing with missing values. Option E uses PROC MEANS to calculate summary statistics by 'HIRE_DATE', which would not be suitable for analyzing the relationship between 'SALARY' and 'HIRE_DATE. Therefore, option A is the most appropriate choice for analyzing the correlation between 'SALARY and 'HIRE_DATE' while handling missing values in 'HIRE DATE'
NEW QUESTION # 17
You have a SAS dataset named 'CustomerData' located in the '/home/datasets/' directory, and you want to create a new library called 'CUSTOMER' to access it. You also want to specify that the dataset is located on a Unix server using the 'SERVER' option. Additionally, you want to use a specific SAS session user, 'adminuser', and password, 'password 1 23', for accessing the dataset. Which LIBNAME statement is correct for this scenario?
- A.

- B.

- C.

- D.

- E.

Answer: B
Explanation:
This LIBNAME statement correctly uses the SERVER option to specify the Unix server, the path '/home/datasets/CustomerData' for the dataset location, and the USER and PASSWORD options for authentication. The order of options can be flexible, but ifs best practice to put the path after the server and before the user and password options. Option A is incorrect because it doesnt have the correct path of the dataset and it is not the correct syntax. Option B is incorrect because it doesn't have the correct path of the dataset and it is not the correct syntax. Option C is incorrect because the server is not the first keyword specified in the statement and it is not the correct syntax. Option E is incorrect because it doesn't explicitly use the SERVER keyword and the correct path should be written in a specific format.
NEW QUESTION # 18
......
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