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A00-215 Latest Test Labs, A00-215 New Dumps Files

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The SAS Certified Associate: Programming Fundamentals Using SAS 9.4 exam is a globally recognized certification exam offered by SAS Institute. A00-215 Exam is designed to test the knowledge and skills of individuals in SAS programming language. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is intended for individuals who want to pursue a career in data management, analytics or business intelligence.

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q356-Q361):

NEW QUESTION # 356
Consider the following DATA step code:

Which of the following statements are TRUE about the execution of this code? 1. The variable 'name' will be truncated to 10 characters during input. 2. The variable 'name' will be automatically padded with spaces if it is less than 10 characters. 3. The variable 'id' will be assigned a default length of 8 bytes. 4. The variable 'age' will be assigned a default length of 8 bytes. 5. The variable 'name' will be assigned a default length of 20 bytes.

A. 1, 2, and 4
B. 1, 2, and 5
C. 1 and 2
D. 2, 3, and 4
E. 1 and 3

Answer: C

Explanation:
The LENGTH statement defines the length of a variable, and it only applies to the variables specifically listed in the LENGTH statement. Since there is no LENGTH statement in this code, the default behavior is applied. The default length for character variables is 20 bytes, but the input statement overrides this for the 'name' variable to 10 bytes. So 'name' will be truncated to 10 characters and padded with spaces if it is less than 10 characters. The default length for numeric variables is 8 bytes, so 'id' and 'age' will both be assigned a length of 8 bytes. Therefore, only options 1 and 2 are true.

NEW QUESTION # 357
You have a SAS dataset 'SALES' with variables 'ORDER DATE' (numeric, date format) and 'PRODUCT NAME'. You need to create a new dataset 'SALES BY MONTH' that summarizes the sales by month. The dataset should include the month (as a character variable 'MONTH'), the year (as a numeric variable 'YEAR'), and the total sales for that month ('TOTAL SALES'). Which SAS code snippet correctly creates 'SALES BY MONTH'?

Answer: A

Explanation:
The code uses the function with the 'monyy6 format to extract the month and year from the 'ORDER DATE' variable and store them in 'MONTH' and 'YEAR' respectively. The 'sum()' function aggregates the 'PRODUCT NAME' values for each month and year, storing the result in 'TOTAL SALES'. The 'by' statement ensures the aggregation happens within each month and year group. Option A uses the 'month.' format, which wouldn't include the year Option B uses 'proc sqr but doesn't specify the desired format for the month (would be numeric). Option C uses 'montyy.' which is a date format, not the desired month and year format Option E uses 'proc summary' but doesn't format the month and year in the desired format.

NEW QUESTION # 358
Which LIBNAME statement has the correct syntax for accessing SAS data sets?

A. libname 'c:sasdata' mydata;
B. libname mydata='c:sasdata';
C. libname 'c:sasdata'=mydata;
D. libname mydata 'c:sasdata';

Answer: D

Explanation:
The correct syntax for the LIBNAME statement in SAS, which assigns a libref to a library stored at a specific path, requires the libref to come first, followed by the path enclosed in quotes. The format is libname libref ' path';. Thus, the correct syntax among the options provided is Option B: libname mydata 'c:sasdata';. This statement assigns the libref 'mydata' to the directory 'c:sasdata'. The other options either invert the order of the libref and path or improperly use the equals sign, which is not standard syntax for the LIBNAME statement.
References:SAS documentation on the LIBNAME statement, SAS Institute.

NEW QUESTION # 359
You are working on a project that involves analyzing customer data from multiple sources. You have three SAS datasets: 'CUSTOMER A', 'CUSTOMER B', and 'CUSTOMER C. Each dataset has different variables and potentially different observation counts. You want to create a single dataset called 'COMBINED CUSTOMERS' that includes all the observations from the three datasets, regardless of their structure. Which of the following options would achieve this, ensuring no data duplication and maintaining the original variable order for each dataset?

Answer: C

Explanation:

NEW QUESTION # 360
You have a dataset 'sales_data' with variables 'Region', 'Product', and 'Sales'. You want to create a frequencyreport that displays the frequency counts for each region and product combination, but you only want to see the counts for those combinations where the sales value is greater than $10,000. How would you modify the PROC FREQ statement to achieve this?

Answer: D

Explanation:
The 'where' statement is used to filter the data before the frequency analysis. It specifies a condition (sales > 10000) to include only those observations that meet the specified criteria. Option B uses 'if statement which is not valid in PROC FREQ. Option C is incorrect as the WHERE statement is not used correctly and would not filter the data. Option D uses the 'select if statement which is not valid in PROC FREQ. Option E is incorrect as it uses the 'gt- operator which is not valid in this context.

NEW QUESTION # 361
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