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SASInstitute A00-215 Exam consists of 65 multiple-choice and short-answer questions that must be completed within 105 minutes. A00-215 exam covers topics such as SAS programming basics, data manipulation and management, data reporting and analysis, and debugging and error handling. Candidates must score at least 70% to pass the exam and earn the SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification.

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q348-Q353):

NEW QUESTION # 348
You have three datasets: 'CUSTOMER INFO', 'ORDER DETAILS', and 'PRODUCT_DATA', each containing a unique 'CUSTOMER ID', 'ORDER ID', and 'PRODUCT ID' respectively. You need to create a new dataset 'COMPLETE DATA' that combines the data from all three datasets based on the following logic: 1. Merge 'CUSTOMER INFO' and 'ORDER DETAILS' datasets on 'CUSTOMER ID'. 2. Then, merge the resulting dataset with 'PRODUCT DATA' on 'ORDER ID'. Write the SAS code to achieve this using MERGE statements.

Answer: B,E

Explanation:
Both options B and E correctly merge the datasets in the specified order, creating the desired 'COMPLETE_DATA' dataset. Option B first merges 'CUSTOMER_INFO' and 'ORDER_DETAILS' on 'CUSTOMER_ID', storing the result in a temporary dataset 'TEMP'. Then, it merges 'TEMP' with 'PRODUCT_DATA' on 'ORDER_ID' to create 'COMPLETE_DATA'. Option E achieves the same result by first merging 'ORDER DETAILS' and 'PRODUCT_DATA' on 'ORDER_ID' and then merging the resulting 'TEMP' dataset with 'CUSTOMER_INFO' on 'CUSTOMER_ID'. Option A incorrectly merges all three datasets at once using 'CUSTOMER_ID', which would not produce the intended result. Option C also attempts to merge all three datasets at once, but it incorrectly uses 'ORDER_ID' for merging all datasets. Option D attempts to merge 'CUSTOMER_INFO' and 'ORDER_DETAILS', then tries to merge the 'COMPLETE_DATA' with 'PRODUCT_DATA' without defining 'COMPLETE_DATA' properly, leading to errors.

NEW QUESTION # 349
Which of the following statements about global SAS statements are true? (Select all that apply)

A. Global statements are processed only once, regardless of how many times they are encountered in a SAS sessiom
B. Global statements are defined using the 'global' keyword.
C. Global statements are executed before any other SAS program code.
D. Global statements are specific to the current SAS program and are not accessible from other programs within the same SAS session.
E. Global statements can be used to set options, define macro variables, and declare formats.

Answer: A,C,E

Explanation:
- ''A is true:'' Global statements are executed at the beginning of a SAS session, before any other SAS code. - ''B is true:'' Global statements can be used to set options, define macro variables, and declare formats, among other things- - ''C is Global statements are processed only once, even if they are encountered multiple times in a SAS session- - ''D is false:'' There is no keyword 'global' used in the SAS language for global statements. Specific keywords like O/oglobal, %let and options are used for different global definitions. - ''E is false:'' Global statements are accessible throughout the entire SAS session, regardless of the program they were defined in.

NEW QUESTION # 350
You have a dataset 'SALES' with variables 'REGION', 'PRODUCT, and 'SALES AMOUNT'. You need to create a report that displays the top 5 regions with the highest total sales amount. Which PROC SORT statement will correctly sort the data in descending order of total sales amount for each region before generating the report?

Answer: B

Explanation:
The correct answer is C. The BY statement with the DESCENDING option sorts the data in descending order of 'SALES_AMOUNT' within each 'REGION'. Option A sorts only by 'REGION' and does not consider 'SALES_AMOUNT'. option B sorts only by 'SALES_AMOUNT in descending order, disregarding 'REGION'. option D sorts by 'SALES_AMOUNT in descending order but then sorts by 'REGION' in ascending order, which is not what is needed. Option E attempts to use the SUM function, but this is not supported in the BY statement. The correct approach is to sort by 'REGION' first and then by 'SALES AMOUNT' in descending order within each region, which is achieved by the code in option C.

NEW QUESTION # 351
You are working with a SAS dataset 'SALES' containing sales data for different products. The dataset has variables 'PRODUCT ID', 'SALES DATE', 'SALES AMOUNT', and 'REGION'. You need to create a new dataset named 'SALES QI' that includes only sales records for the first quarter (January, February, March) of the year and renames the 'SALES DATE' variable to 'SALES DATE QI'. Which code snippet correctly achieves this?

Answer: C

Explanation:
Option C correctly combines the RENAME= option to change the variable name and the WHERE clause to filter the data for the first quarter. The RENAME: option is used within the SET statement to rename the SALES_DATE variable to SALES_DATE_QI. The WHERE clause filters the data by checking if the MONTH function applied to the SALES DATE variable is within the range of 1, 2, or 3, representing January February, and March, respectively. The other options are incorrect because they either do not rename the variable correctly use incorrect filtering logic, or try to use OBS= to limit the observations, which is not the right approach for this scenario.

NEW QUESTION # 352
You have a dataset 'CUSTOMERS' with variables 'CUSTOMER ID', 'NAME', and 'CITY'. You want to create a new dataset 'NEW CUSTOMERS' containing only the records where the 'CITY' variable is missing (missing value). Additionally, you want to add a new variable named 'STATUS' with a default value 'NEW' for all observations in the 'NEW CUSTOMERS' dataset. Which SAS code snippet would achieve this?

Answer: D

Explanation:
The correct answer is option D. It uses the 'missing(ClTY)' function to select records where the 'CITY variable is missing- The 'output' statement writes these selected records to the new dataset 'NEW_CUSTOMERS'. The 'STATUS' variable is assigned a value of 'NEW' for all observations in the 'NEW_CUSTOMERS' dataset. Option A and B include the 'drop' option, which would remove the 'CITY' variable from the output dataset, but the question asks for all variables to be included. Option C incorrectly uses a semicolon after the 'if statement Option E incorrectly uses a semicolon after 'if statement and does not include 'then' keyword after 'if statement.

NEW QUESTION # 353
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100% FREE A00-215–100% FREE LATEST EXAM REGISTRATION | NEWEST VALID SAS CERTIFIED ASSOCIATE: PROGRAMMING FUNDAMENTALS USING SAS 9.4 VCE DUMPS

100% Free A00-215–100% Free Latest Exam Registration | Newest Valid SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Vce Dumps