Blog

Bob Knox Bob Knox

0 Course Enrolled • 0 Course Completed

Biography

A00-215 Valid Exam Bootcamp | New A00-215 Exam Simulator

Exams-boost SASInstitute A00-215 Dumps are an indispensable material in the certification exam. It is no exaggeration to say that the value of the certification training materials is equivalent to all exam related reference books. After you use it, you will find that everything we have said is true.

SASInstitute A00-215 (SAS Certified Associate: Programming Fundamentals Using SAS 9.4) is a certification exam that measures an individual's proficiency in SAS programming. A00-215 exam is designed for individuals who are interested in pursuing a career in data analysis, research, or business intelligence. It is also suitable for professionals who want to validate their SAS programming skills.

>> A00-215 Valid Exam Bootcamp <<

SASInstitute A00-215 Valid Exam Bootcamp Exam Pass For Sure | New A00-215 Exam Simulator

Some people prefer books, some check videos, and some hire online tutors, to clear the A00-215 exam. It all depends on you what you like the most. If you learn better by books, go for it but if you are busy, and don't have much time to consult a list of books for studying, it’s better to get the most probable SAS Certified Associate: Programming Fundamentals Using SAS 9.4 (A00-215) exam questions. We are sure that you will learn well and can crack SASInstitute A00-215 exam easily.

SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q274-Q279):

NEW QUESTION # 274
You submit a program and the SAS log is shown below:

Which statement is true regarding the submitted program?

A. All three steps ran successfully
B. The DATA step and PROC PRINT steps ran without errors.
C. The error in the PROC SORT step caused the program to stop processing
D. The PROC SORT and PROC PRINT steps failed.

Answer: B

Explanation:
The correct answer is C. The DATA step and PROC PRINT steps ran without errors. In the SAS log shown, there is a clear error in the PROC SORT step because of the use of an incorrect option by ascending Increase which caused the "Variable ASCENDING not found" error. However, the DATA step completed successfully, as indicated by the "NOTE" that follows it, confirming that 56 observations were read from the SASHELP.SHOES data set where Region is Africa. Additionally, the PROC PRINT step also completed successfully, indicated by the "NOTE" at the bottom of the log which confirms that 56 observations were read from the WORK.AFRICA data set, implying the PROC PRINT step executed without issue.
A is incorrect because the error in PROC SORT did not cause the program to stop; SAS continued processing the next steps. B is incorrect because the PROC SORT step did not run successfully. D is incorrect because the PROC PRINT step did not fail; it ran successfully.
References:
* SAS documentation on error messages.
* Understanding the SAS log and error messages.

NEW QUESTION # 275
You have a CSV file named 'sales_data.csv' with the following structure: Product,Region,Sales Product A,North,1000 Product Product C,East,800 Product D,West, 1200 You need to import this data into a SAS dataset named 'SALES' with the following requirements: 1. The 'Sales' column should be converted to a numeric variable. 2. The 'Region' column should be treated as a character variable. 3. The 'Product' column should be the primary key. Which of the following PROC IMPORT statements would achieve this correctly?

Answer: D

Explanation:
The correct option is C. Here's why: PROC IMPORT is used to import data from external files into SAS datasets. OUT-SALES specifies the name of the SAS dataset to be created. DATAFILE='sales_data.csv' indicates the location of the CSV file. DBMS=CSV specifies the type of data source as a CSV file. REPLACE ensures any existing dataset with the same name is overwritten. GETNAMES=YES tells SAS to use the first row of the CSV file as variable names. DATAROW=2 indicates the data starts from the second row of the CSV file (skipping the header row). GUESSINGROWS=I helps SAS to guess the data types of the variables. The code inside the DATA step converts the 'Sales' column to a numeric variable using the INPUT function with the BEST 12. format. This ensures that SAS reads the 'Sales' values as numeric data. Why other options are incorrect: Option A: Does not perform the required data type conversion. Option B: Creates a new variable 'SALES NUM' but doesn't correctly assign it to the 'Sales' column. Option D: Uses the '12.' format which is not suitable for the 'Sales' data and may lead to data truncation or errors. Option E: Attempts to convert the 'Region' column to uppercase, which is not part of the requirements- Additionally the 'Region' variable is already assumed to be a character variable by default in the IMPORT statement.

NEW QUESTION # 276
You are working with a dataset named 'work.customer' that contains a variable called 'age' representing the age of customers. You want to create a new variable 'age_group' based on the following criteria: 'age_group' = Young' if 'age' is less than 30 'age_group' = 'Middle' if 'age' is between 30 and 50 (inclusive) 'age_group' = 'Senior' if 'age' is greater than 50 Which SAS code snippet correctly creates the 'age_group' variable?

Answer: D,E

Explanation:
Both Option A and Option C will create the desired 'age_group' variable using correct logic for the age range. The code in Option A uses separate 'if statements for each condition, while Option C uses 'if statements for the first two conditions and 'else' for the third condition. Both approaches are valid and will produce the same result. Option B and Option D have incorrect logic in their conditional statements. Option E does not correctly assign 'Middle' status to those aged 30-50_ Remember that the 'else' statement is only executed if none of the preceding 'if conditions are true.

NEW QUESTION # 277
You have a dataset named 'CUSTOMERS' with variables 'Customer_lD', 'Name', 'City', and 'State'. You need to generate a report that displays the first 10 observations of the dataset, along with a title 'Customer Information (Top 10)' and a footer that indicates the date the report was generated. Which PROC PRINT statement with LABEL and NOOBS options would achieve this?

Answer: B,C

Explanation:
Both options A and B are correct. They achieve the desired output using different approaches: Option A: It uses the OUT: option to create a temporary dataset called 'TEMP' and then uses the OBS=IO option within a subsequent PROC PRINT statement to display the first 10 observations of 'TEMP. This allows for additional customization or processing of the data before displaying the final report. Option B: It directly limits the number of observations displayed using the OBS=IO option within the same PROC PRINT statement. This is a more concise approach if you only need to display the first 10 observations without further manipulation. Both options use the LABEL option to assign a title, NOOBS to suppress observation numbers, and the FOOTNOTE option to add the date to the report footer. Option C, D, and E are incorrect because they either miss the OBS=IO option for limiting observations or lack the correct FOOTNOTE statement to include the date.

NEW QUESTION # 278
You are tasked with generating a series of reports for different departments, each with its unique title and a consistent footer containing the report generation date. How can you achieve this using the TITLE statement effectively? Select all that apply.

A. Utilize the FOOTNOTE statement to display the current date in the footer of each report, ensuring consistency.
B. Use the TITLE statement multiple times in the same PROC step to define titles for different reports.
C. Use the TITLE statement with a fixed title for all reports and modify the footer dynamically using a macro.
D. Employ the TITLE statement with a macro variable containing the department name to dynamically generate titles.
E. Leverage the %SYSFIJNC macro to include the report generation date in the FOOTNOTE statement

Answer: A,D,E

Explanation:
The TITLE statement can be used with macro variables to dynamically generate titles for different reports. The FOOTNOTE statement allows you to include consistent information in the footer- To display the current date in the footer, the %SYSFUNC macro is used with the DATE function. Option A is incorrect as the TITLE statement only displays the last title specified in the PROC step. Option E is incorrect because it contradicts the goal of creating unique titles for different departments. While it's possible to use a macro for the footer, it is not the most efficient way for a consistent date.

NEW QUESTION # 279
......

After paying our A00-215 exam torrent successfully, buyers will receive the mails sent by our system in 5-10 minutes. Then candidates can open the links to log in and use our A00-215 test torrent to learn immediately. Because the time is of paramount importance to the examinee, everyone hope they can learn efficiently. So candidates can use our A00-215 Guide questions immediately after their purchase is the great advantage of our product. It is convenient for candidates to master our A00-215 test torrent and better prepare for the exam. We will provide the best service for you after purchasing our exam materials.

New A00-215 Exam Simulator: https://www.exams-boost.com/A00-215-valid-materials.html

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Bob Knox Bob Knox

Biography

COOKIE NOTICE