SAS Certified Associate: Programming Fundamentals Using SAS 9.4 prep torrent & A00-215 study questions & SAS Certified Associate: Programming Fundamentals Using SAS 9.4 dumps pdf

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SASInstitute A00-215 Exam covers a wide range of topics related to SAS programming, such as data manipulation, data analysis, data management, and data reporting. A00-215 exam tests candidates on their ability to write SAS code, read and interpret SAS code, and troubleshoot errors in SAS code. Candidates are also tested on their knowledge of SAS terminology, syntax, and procedures.

SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q263-Q268):

NEW QUESTION # 263
You have a dataset 'SalesData' with a variable 'Region' containing values like 'North', 'South', 'East', and 'West'. You want to create a format that labels 'North' and 'South' as 'Northern Hemisphere' and 'East' and 'West' as'Eastern Hemisphere'. Which code snippet correctly defines this format?

Answer: B

Explanation:
The correct answer is B. This option uses commas to list multiple values that should be mapped to the same label. This is the most efficient and readable way to handle multiple values. Option A is redundant and unnecessarily long- Options C and D are incorrect because the operator is used for ranges of numeric values, not string comparisons. Option E is incorrect because it doesn't correctly map 'East' and 'West' to 'Eastern Hemisphere' Option B correctly defines the format for the desired labeling.

NEW QUESTION # 264
You have a dataset with a variable 'DATE STR' storing dates in the format 'YYYY-MM-DD'. You want to create a new variable 'DATE NUM' storing the date in numeric format (YYYYMMDD). Which code snippet correctly achieves this transformation?

Answer: C

Explanation:
The correct option is A- The INPUT function is used to convert a character string into a numeric date value. The format 'YYMMDD8.' specifies the input format as 'YYYY-MM-DD' and the output format as numeric date. Option B is incorrect as it uses the 'DATE9_' format which is for a different date format. Options C and E use incorrect input formats. Option D simply assigns the character string to the numeric variable, which is incorrect.

NEW QUESTION # 265
You have two SAS data sets, 'SALES QI' and 'SALES Q2', each containing sales data for the first and second quarters respectively. Both data sets have the same variables but in different orders. How would you combine these two data sets vertically, ensuring the variables are in a specific order (e.g., 'Region', 'Product', 'Sales') in the combined dataset?

A. data combined sales; set SALES QI SALES Q2;
B. data combined sales; set SALES _QI SALES_Q2 (drop-Region Product Sales); run;
C. data combined sales; set SALES _QI SALES_Q2; output; run;
D. QI SALES_Q2; if _ N = 1 then call symput('vars','Region Product Sales'); array vars(') $ vars; data combined sales; set SALES drop i; do i = 1 to dim(vars); combined_sales[vars[i]] = vars[i]; end; run;
E. run; data combined sales; set SALES _QI SALES_Q2 (keep-Region Product Sales); run;

Answer: D

Explanation:
Option C correctly combines the data sets vertically using the SET statement and then dynamically reorders the variables using an array and the call symput function to ensure the specific variable order Options A and E simply combine the data sets without specifying order, and Option B and D drop variables, which is not desired. Option C utilizes the _ N _ system variable, which is essential for dynamic variable ordering.

NEW QUESTION # 266
You have a dataset with a variable named 'SALES AMOUNT representing the sales value. You want to create a new variable 'SALES CATEGORY' that categorizes sales into 'Low', 'Medium', and 'High' based on the following criteria: Low: SALES AMOUNT < 1000 Medium: 1000 <= SALES AMOUNT < 5000 High: SALES AMOUNT >= 5000 Which of the following DATA step code segments will correctly accomplish this task?

Answer: C

Explanation:
Option B is the only correct code segment. The IF-THEN-ELSE statements are correctly structured to cover all possible scenarios of the sales amount. Option A has incorrect logic for the 'Medium' category as it only checks if SALES AMOUNT is less than 5000, not also greater than or equal to 1000. Option C is incorrect because 'elseif is not a valid keyword in SAS, it should be 'else if. Option D has redundant 'else if statements and is not efficient. Option E has the same problem as option C with the use of 'elseif instead of 'else if. Therefore, only Option B correctly categorizes sales based on the provided criteria.

NEW QUESTION # 267
Which statement is true when creating two SAS data sets with a DATA step?

A. Use a separate SET statement for each data set.
B. Use a PUT statement to output the observations to the appropriate data sets.
C. Use an OUT= option in the WHERE statement to output the observations to the appropriate data sets.
D. Name both data sets in the DATA statement

Answer: D

Explanation:
When creating two SAS data sets with a DATA step, you should name both data sets in the DATA statement.
This tells SAS to create two separate data sets from the same DATA step. Using an OUT= option in the WHERE statement or a PUT statement are not correct methods for creating data sets. A SET statement is used to read data into the DATA step, not to create output data sets.
References:
* SAS documentation on the DATA step for creating multiple data sets.

NEW QUESTION # 268
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SAS CERTIFIED ASSOCIATE: PROGRAMMING FUNDAMENTALS USING SAS 9.4 PREP TORRENT & A00-215 STUDY QUESTIONS & SAS CERTIFIED ASSOCIATE: PROGRAMMING FUNDAMENTALS USING SAS 9.4 DUMPS PDF

SAS Certified Associate: Programming Fundamentals Using SAS 9.4 prep torrent & A00-215 study questions & SAS Certified Associate: Programming Fundamentals Using SAS 9.4 dumps pdf