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SASInstitute Certified professionals are often more sought after than their non-certified counterparts and are more likely to earn higher salaries and promotions. Moreover, cracking the SAS Certified Associate: Programming Fundamentals Using SAS 9.4 (A00-215) exam helps to ensure that you stay up to date with the latest trends and developments in the industry, making you more valuable assets to your organization.

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The SAS Certified Associate: Programming Fundamentals Using SAS 9.4 (A00-215) certification exam is designed to test the knowledge and skills of individuals who want to become proficient in SAS programming. A00-215 exam is ideal for those who are new to SAS programming and want to validate their skills in this area. The A00-215 exam covers a range of topics, including data manipulation, data analysis, and basic programming techniques. Passing A00-215 exam demonstrates the ability to use SAS software to perform data analysis and programming tasks.

SASInstitute A00-215 Certification Exam is an excellent way for individuals to demonstrate their proficiency in SAS programming. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is recognized globally and is highly valued by organizations in various industries. Additionally, the certification provides individuals with an opportunity to enhance their skills and knowledge in SAS programming, making them more marketable and competitive in the job market.

SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q327-Q332):

NEW QUESTION # 327
Which PROC PRINT step correctly displays only the first 10 observations in the data set?

A. proc print data=sashelp.class(obs=l10);
run;
B. proc print data=sashelp.class;
obs=10;
run;
C. proc print data=sashelp.class obs=10;
run;
D. proc print data=sashelp.class (oba<'10' )
; run;

Answer: B

NEW QUESTION # 328
You need to export a SAS report to an Excel file with specific formatting and styles. You want to preserve the formatting of the report, including cell borders, font styles, and colors. Which ODS destination option would you use to achieve this?

A. ODS EXCEL FILE='reportxlsx' STYLE=EXCEL
B. ODS EXCEL FILE='reportxlsx' STYLE=EXCEL2007
C. ODS EXCEL FILE='reportxlsx' STYLE=AUTO
D. ODS EXCEL FILE='reportxls' STYLE=SAS
E. ODS EXCEL FILE='reportxls' STYLE=EXCEL97

Answer: A

Explanation:
The correct answer is - ODS EXCEL FILE='reportxlsx' STYLE-EXCEL". The 'STYLE-EXCEL' option is designed specifically to maintain the formatting and styles from the SAS report when exporting to Excel. Other options like 'STYLE=EXCEL97' or 'STYLE=EXCEL2007' might be used for older Excel versions, but they might not guarantee complete formatting preservation. 'STYLE-SAS' exports the report in a basic table format, while 'STYLE-AUTO' will use the default style for the chosen destination.

NEW QUESTION # 329
Consider the following SAS code snippet:

The code is intended to assign 'SAN FRANCISCO' to the 'CITY' variable for all customers residing in California ('CA'). However, it is not working as expected. Which of the following adjustments would be MOST effective in identifying the exact cause of the logic error and aiding in debugging the code?

A. Use the 'ERROR' option in the 'PUTLOG' statement to generate an error message.
B. Remove the 'PUTLOG' statement completely and use the SAS Log to monitor the executiom
C. Add the statement 'PUTLOG STATE,' before the 'IF' statement
D. Replace 'PUTLOG 'Customer from CA';' with 'PUTLOG CITY;'
E. Add a 'PUTLOG' statement at the end of the 'DO' loop to track the number of iterations.

Answer: C

Explanation:
Adding 'PUTLOG STATE,' before the 'IF' statement will provide valuable information about the actual value of 'STATE' being read for each customer. This can directly pinpoint the root cause of the logic error. For example, if 'STATE' is consistently 'CA', but 'CITY' is not being updated, it suggests a potential issue with the assignment within the 'DO' block. If 'STATE' is not 'CA for some customers, it indicates a potential data inconsistency.

NEW QUESTION # 330
You have two SAS datasets: 'CUSTOMER' and 'ORDERS'. The 'CUSTOMER' dataset contains customer information, while 'ORDERS' contains order details. Each dataset has a unique 'CUSTOMER ID' variable. You want to combine the data from both datasets, but only include orders for customers who have placed at least two orders. How would you achieve this using the IN= option in the MERGE statement?

Answer: B

Explanation:
To ensure only customers with at least two orders are included, you need to use the 'IN-cust- and 'IN=ord' variables to identify matching records from both datasets, and then use >= 2 to filter out customers with fewer than two orders. ''Explanation of other options.'' ''B.'' Using to count orders is not correct_ It would sum the actual order ID values, not the number of orders. ' ''C:'' The condition > 1' would include customers with only one order. ' This option only checks for the 'ord' variable, which is the 'ORDERS dataset, and doesn't consider the 'CUSTOMER' dataset. ' ''E:'' is the observation number within the data step, not the count of orders for each customer. This option would not accurately filter based on the number of orders per customer.

NEW QUESTION # 331
Which statement is true about the SUM statement?

A. The SUM statement includes an equal sign.
B. By default, the accumulating variable is initialized to 1.
C. The SUM statement ignores missing values.
D. Multiple accumulating variables can be created with one SUM statement.

Answer: D

NEW QUESTION # 332
......

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PDF A00-215 VERSION, A00-215 DUMP

Pdf A00-215 Version, A00-215 Dump