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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q103-Q108):

NEW QUESTION # 103
Which of the following statements about SAS syntax rules is TRUE? Select all that apply.

A. SAS keywords are case-sensitive.
B. Semicolons are required at the end of every SAS statement.
C. SAS supports nested data steps.
D. Comments in SAS code are denoted by comment
E. SAS variables can only be named with alphanumeric characters.

Answer: B,C,D

Explanation:
The correct statements are. B. Semicolons are mandatory at the end of every SAS statement This signifies the end of the statement for the SAS compiler ' ''C:'' Comments are enclosed within P and They are ignored by the SAS compiler and are used for documentation purposes- E. SAS supports nested data steps. This allows for more complex and structured logic within data processing. Lets discuss why the incorrect statements are false. A. SAS keywords are NOT case-sensitive. SAS interprets keywords regardless of capitalization. For example, 'DATA' is the same as 'data' - ' SAS variables can include alphanumeric characters, underscores, and the @ sign. This allows for more descriptive and flexible variable names.

NEW QUESTION # 104
You have a SAS dataset named 'mydata' containing customer information, and you need to export it to a CSV file named 'customers.csv'. You want to include only the 'CustomerlD', 'Name', and 'City' variables in the output file and ensure that the data is delimited by a semicolon (;). Which PROC EXPORT statement accomplishes this task?

Answer: E

Explanation:
The correct answer is option C. The OUT= option specifies the output file name and the KEEP= option selects the desired variables. The DELIMITER=';' statement specifies a semicolon as the delimiter for the exported data. Option A exports the entire dataset. Option B specifies an output file named 'customers-csv' but doesn't set the delimiter. Option D uses a quote character instead of a delimiter. Option E specifies a pipe character as the delimiter, which is not the desired semicolon.

NEW QUESTION # 105
You have a dataset 'PRODUCT SALES' with variables 'PRODUCT ID', 'PRODUCT NAME', 'SALES DATE', 'SALES AMOUNT', and 'DISCOUNT'. You need to create a new dataset 'HIGH SALES DISCOUNT' containing observations with 'SALES AMOUNT' greater than 500 and 'DISCOUNT' greater than 0.1, and then only keep the 'PRODUCT ID' and 'PRODUCT NAME' variables. Which code segment achieves this correctly?

Answer: B

Explanation:
The correct code is option C. It uses the 'if statement with the 'and' operator to filter observations based on both 'SALES_AMOUNT' being greater than 500 and 'DISCOUNT' being greater than 0.1 - The 'keep' statement is then used to select only the 'PRODUCT_ID' and 'PRODUCT_NAME' variables for the output dataset 'HIGH SALES DISCOUNT'. Option A uses separate 'if statements which will not correctly combine the conditions- Option B incorrectly places the 'keep' statement inside the 'if' statement, which would only apply the variable selection to the matching observations, not the entire output dataset Option D uses the 'or' operator which will select observations that meet either condition, not both, and option E incorrectly tries to select variables at the 'set' statement.

NEW QUESTION # 106
You have a SAS dataset with a variable 'DATE VALUE representing a date value stored as a numeric value. Which of the following options are valid ways to convert the 'DATE VALUE' variable to a SAS date format 'Y YYY- MM-DD'?

Answer: A,C,E

Explanation:
The correct code snippets use the 'put' function to convert the numeric date value to the desired date format. Option 'A' uses the ' date9.' format, which outputs the date as 'YYYY-MM-DD' Option 'C' uses the 'date()' function, which converts the numeric date value to a SAS date value, which can then be formatted using any date formatOption 'E' uses the 'yymmdd8.' format, which outputs the date as 'YYYYMMDD'.

NEW QUESTION # 107
You have a dataset called 'SALES' with variables 'REGION', 'PRODUCT', and 'SALES AMOUNT'. You want to calculate the average sales amount for each region, but only for products with a sales amount greater than 1000. Which SAS code snippet would accomplish this?

Answer: C

Explanation:
Option C is the correct answer- It uses the PROC MEANS procedure to calculate the mean of 'SALES_AMOUNT' for each region. The WHERE clause ensures that only sales amounts greater than 1000 are included in the calculation. The OUTPUT statement creates a new dataset called 'SALES SUMMARY with the calculated averages. Option A and D are incorrect because they calculate the average within the data step without grouping by region. Option B is incorrect because it does not filter for sales amounts greater than 1000. Option E is incorrect because it uses PROC SQL which is a different approach from the DATA step.

NEW QUESTION # 108
......

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Sean Walsh Sean Walsh

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First-grade SASInstitute A00-215 Practice Exam and Realistic Exam Dumps A00-215 Provider

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q103-Q108):

SASInstitute A00-215 Exam Success Tips For Passing Your Exam on the First Try

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