The SAS Certification Exam practice test is a simulated exam, which resembles the exam conducted by SAS Institute. It consists of 50 multiple choice questions and helps you introspect your performance in various aspects of data analysis. It validates your knowledge of data manipulation and optimization techniques, linear regression, decision trees and so on.
A total of 50 multiple choice questions are to be solved in a period of 90 minutes in this practice test. You can pause the online test in between and complete it later.
This SAS base certification practice exam has no prerequisites.
Yes, this SAS mock exam provides a clear demonstration of the SAS base Certification exam. While we do not guarantee that you will qualify the test, you will be better prepared to face any challenge that is expected to come your way.
This SAS base practice test is free of cost and can be taken up by the professionals who are determined to clear the SAS Base Certification exam and explore the world of data science and analytics.
The SAS base certification sample questions are quite similar to what you will come across during the actual SAS exam.
This SAS mock exam allows you to assess your performance on many parameters and know exactly which sections require improvement. The 50 SAS base sample exam questions let you understand if you have a clear understanding of various analytical techniques, statistical techniques, data manipulation procedures, macro statement, and data exploration techniques using SAS.
Yes, the SAS base Certification practice questions are regularly upgraded to include any new information that is relevant for the exam preparation.
Yes, the SAS practice test is allowed to be taken again and again to improve your learning curve. However, it is advised that you put yourself through the practice test only when you have completed learning all the concepts.
Data Science Career Guide: A Comprehensive Playbook To Becoming A Data Scientist
Beyond the Textbook: Decision Analytic Principles for Data Scientists
The Rise of the Data-Driven Professional: 6 Non-Data Roles That Need Data Analytics Skills
Data Science & Analytics in ITSM: Trends, Career Opportunities & Much More