VALID A00-215 TEST STUDY GUIDE & PASSING A00-215 EXAM IS NO MORE A CHALLENGING TASK

Valid A00-215 Test Study Guide & Passing A00-215 Exam is No More a Challenging Task

Valid A00-215 Test Study Guide & Passing A00-215 Exam is No More a Challenging Task

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Tags: A00-215 Test Study Guide, A00-215 Vce Download, A00-215 Reliable Exam Practice, A00-215 Test Preparation, A00-215 New Cram Materials

Real SASInstitute A00-215 test questions provide the necessary knowledge and skills to clear the test in a short time. When applicants don't prepare with the latest SAS Certified Associate: Programming Fundamentals Using SAS 9.4 (A00-215) exam questions they fail and lose money. Actual4Dumps provides valid A00-215 practice test material for applicants who want to pass the A00-215 exam quickly.

SASInstitute A00-215 Certification Exam is designed for individuals who want to demonstrate their understanding and proficiency in programming fundamentals using SAS 9.4. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is ideal for those who are looking to start a career in the field of data analytics or data science. SASInstitute A00-215 Certification is widely recognized in the industry and can help individuals advance their careers in the field of data analytics.

To prepare for the SASInstitute A00-215 Exam, candidates are recommended to take the SAS Programming 1: Essentials course from SAS Education, which provides an in-depth introduction to SAS programming fundamentals, including SAS syntax, data manipulation techniques, and SAS functionality. Candidates can also refer to various online resources, such as SAS support communities, user forums, and training videos, to enhance their knowledge and prepare for the exam.

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q21-Q26):

NEW QUESTION # 21
Which PROC MEANS statements specifies variables to group the data before calculating statistics?

  • A. CLASS
  • B. GROUP
  • C. VAR
  • D. SUMBY

Answer: A

Explanation:
In the context of the PROC MEANS procedure in SAS, the CLASS statement is used to specify categorical variables whose unique values group the data before calculating statistics. This allows PROC MEANS to calculate statistics like the mean, sum, or standard deviation for each class or group of data defined by the CLASS variables.
The CLASS statement works as follows:
* class variable-list; specifies one or more variables to define groups for analysis.
* When used, PROC MEANS computes the requested statistics for each level of the variables listed, which can be very helpful for analyzing how groups compare across different statistics.
The other options are not used in the PROC MEANS procedure to specify grouping of data:
* B. GROUP is not a valid statement in PROC MEANS.
* C. SUMBY is not a valid statement in SAS.
* D. VAR is used in PROC MEANS to specify the analysis variables for which statistics are to be computed, not to group the data.


NEW QUESTION # 22
You need to analyze the descriptor portion of a SAS data set named 'SALES' and determine the number of observations and variables it contains. Which PROC CONTENTS option would you use in conjunction with the 'DATA=' option to achieve this?

  • A. DATA-SALES
  • B. NOPRINT
  • C. FORMAT
  • D. ALL
  • E. OUT=OUTDS

Answer: D

Explanation:
Explanation: The 'ALL' option in PROC CONTENTS produces a complete listing of the data set's descriptor portion. This includes information about the number of observations and variables. The 'DATA=' option is used to specify the dataset to be analyzed. The other options are not related to retrieving the number of observations and variables.


NEW QUESTION # 23
You need to import a large Excel spreadsheet containing various data types, including numeric, text, and date values. The Excel file uses specific sheet names for different data categories. How would you use the LIBNAME statement and XLSX engine to import data from a specific sheet named 'SalesData' into a SAS dataset?

  • A. LIBNAME sales XLSX; DATA sales.salesdata; SET sales.SalesData; RUN,
  • B. LIBNAME sales XcSX; DATA salessalesdata; SET salesSalesData; RUN
  • C. LIBNAME sales XLSX SHEET-'SalesData'; DATA salessalesdata; SET sales SalesData; RUN,
  • D. LIBNAME sales XLSX SHEET='SalesData', DATA salessalesdata; SET sales SalesData; RUN,
  • E. LIBNAME sales XCSX; DATA salessalesdata; SET salesSaIesData; RUN

Answer: C

Explanation:
The LIBNAME statement with the XLSX engine allows you to specify a specific sheet using the 'SHEET:' option. Option B is incorrect because it does not specify the sheet name, leading to an error during data import. Options C, D, and E are incorrect due to syntax errors. The 'SHEET:' option should be placed directly after the engine name (XLSX) and the syntax for accessing the data should be consistent with SAS dataset naming conventions.


NEW QUESTION # 24
You have a SAS dataset named 'SALES DATA' containing sales figures for various products across different regions. You need to determine if the 'PRODUCT ID' variable is a character variable or a numeric variable. What option in PROC CONTENTS would help you identify this?

  • A. ALL
  • B. FORMAT
  • C. VAR
  • D. OUT=
  • E. DATA=

Answer: B

Explanation:
The 'FORMAT option in PROC CONTENTS provides information about the formats assigned to variables in the dataset. This allows you to determine if a variable is a character variable (using a character format like $8.) or a numeric variable (using a numeric format like 8_). Understanding the variable types is crucial for conducting appropriate data analysis and reporting.


NEW QUESTION # 25
You are working with a SAS program that includes the following code snippet:

The program runs without errors but the output dataset shows incorrect sales tax calculations for orders placed on January 1, 2023. What type of error is present and how would you fix it?

  • A. Logic error - An 'else' statement is missing to handle orders placed on January 1 , 2023.
  • B. Syntax error - The variable 'sales_tax' should be declared before assignment.
  • C. Logic error - The condition for the 'else if statement should be changed to include the date '01 JAN2023'd.
  • D. Syntax error - The variable 'order_date' should be enclosed in quotes in the conditions.
  • E. Syntax error - The 'd' suffix should be removed from the date literal.

Answer: A

Explanation:
The program exhibits a logic error. The code does not explicitly handle orders placed on January 1 , 2023. The 'else if statement only applies to orders placed after January 1, 2023. To correct the issue, an 'else' statement needs to be added to handle orders placed on January 1 , 2023, defining the appropriate sales tax for that date. The corrected code snippet is:


NEW QUESTION # 26
......

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