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SAS Institute A00-402 Exam: Success starts with you. This Study Guide is about SAS exam and preparation tips.
If you deal with data on a regular basis, then becoming SAS Certified Specialist (A00-402) is the way to go. This certification was designed for users who are stepping up their game and managing, analyzing, maintaining and enhancing huge piles of data using SAS software. The certification proves that you're able to use the software in a day-to-day work environment, demonstrate your deep knowledge of that software's functions, along with your ability to optimize its performance. SAS Institute A00-402 Dumps will enable you to succeed in SAS Institute A00-402 exam. This guide is to provide you with information about the SAS Institute A00-402 exam. It will help you gain a better understanding of what the exam entails and provide valuable details that will assist you in your journey to become a successful SAS Certified Specialist.
Basics of SAS Institute A00-402 Exam
SAS Institute A00-402 Exam is a computer based test which is conducted by PEARSON VUE. It is a test on the fundamentals of programming in SAS Language. In this exam, you will be tested on your knowledge of the SAS language and its use. This includes your ability to code, design and create reports and charts, along with handling and modifying data in a database. It is required that the candidate should have an experience of 3 months or more as a SAS programmer before sitting for this exam. Since he/she should have worked with SAS on regular basis, he/she should be able to grasp the concepts quickly and effectively. The candidate can enroll themselves for the same once they have cleared the SAS Language first level test. SAS Institute A00-402 Dumps will help you prepare for the same. The SAS Language first level exam covers an overview of SAS Basics such as creating formulas, writing procedures, building classes etc. Once you are clear about the basics then it is time for you to enroll for this exam and attempt it without much preparation.
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What is SAS Certified Specialist (A00-402) Exam?
SAS certification, one of the most recognized and respected professional certifications in the IT industry, provides objective measures that validate SAS® skills and competency. The SAS Certified Specialist (A00-402) exam validates the advanced SAS Programming and Administration skills of experienced SAS programmers who are creating or maintaining programs within an organization. Testers who obtain this certification have demonstrated a mastery of the programming and administration tasks that are necessary to develop, maintain, test and deploy business applications using SAS products. SAS Institute A00-402 Dumps provides you with detailed instructions on how to pass SAS Institute A00-402 test. Candidates for this exam should possess several years of experience developing SAS programs, including tasks related to data management, application development, user interface development, report generation, and database access and maintenance. Candidates should also have experience with installation of SAS products on UNIX® operating systems as well as installation of SAS products on Microsoft Windows operating systems.
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SASInstitute A00-402 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Creating and Managing Pipelines | 15-20% | - Building pipelines in Model Studio - Configuring and connecting nodes - Using pipeline templates and automation - Managing pipeline flow and execution |
| Data Preparation and Exploration | 20-25% | - Feature engineering and transformation - Handling missing values and outliers - Data profiling and exploration - Variable selection and reduction - Loading and accessing data sources - Partitioning data into training, validation, and test sets |
| Model Deployment | 5-10% | - Exporting score code - Model scoring and operationalization - Registering and publishing models |
| Overview of Supervised Machine Learning | 10-15% | - Prediction types and modeling goals - Model overfitting, underfitting, and generalization - Basic concepts and terminology |
| Building Predictive Models | 25-30% | - Decision trees and tree ensembles - Regression models (linear, logistic) - Neural networks and deep learning basics - Using appropriate modeling nodes - Regularization and optimization methods |
| Model Assessment and Comparison | 15-20% | - Classification metrics: accuracy, precision, recall, F1, AUC - Regression metrics: RMSE, R-squared, MAE - Interpreting model results and diagnostics - Comparing models and selecting best performer - Profit/loss analysis and cutoff adjustment |
