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How much does a SAS Institute A00-225 Certification cost?
The cost of SAS Institute A00-225 Exam is $180 USD.
#What is the test format of SAS Institute A00-225 Exam?
- Language: English
- Exam Duration: 110 minutes
- Exam Format: Multiple Choice or Short Questions
- Passing Score: 67%
- Exam Length: 50-55 Questions
Preparation Guide of SAS Institute A00-225 Exam
A00-225 Prep Guide: Prep guide for the SAS Institute A00-225 Exam
An Analysis of the SAS Institute A00-225 Exam: A blog about the SAS Institute A00-225 exam along with preparation tips.
SAS Institute A00-225 exam is an SAS Certified Application Associate Certification exam. It's one of the most famous certifications in IT industry. With the increase in outsourcing and more opportunities for job, SAS certification has gained ground in recent years. SAS jobs have been one of the highest paid jobs for programmers. If you are working as a programmer or a developer, SAS certification can be a stepping stone to your career growth in the future. This guide gives some information about this certification and its benefits. You should read this guide if you frequently deal with programming languages like SAS. SAS Institute A00-225 Dumps is designed to help you pass the SAS Institute A00-225 Exam easily and quickly. Department of Business Administration (BSA) has also come up with the SAS Institute A00-225 test questions and answers for practice. Includes the latest updates on the SAS Institute A00-225 certification. Visual SAS and SAS Visual Studio are two popular development tools for SAS. SAS is a platform that supports the deployment of data security products. Requirements for the SAS Certified Application Associate (SCA) certification are very high.
SASInstitute A00-225 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Open Source Models in SAS | 10% | - Productionalization of hybrid models - Deploying Python/R models in SAS environment - Integrating open source code with SAS |
| Predictive Analytics on Big Data | 40% | - Scaling models for large datasets - Working with distributed and in-memory data - SAS LASR Analytic Server and SAS Visual Analytics - High-performance modeling techniques |
| Neural Networks | 20% | - Training and tuning neural models - Implementation in SAS Enterprise Miner - Model evaluation and performance - Neural network architecture design |
| Logistic Regression | 30% | - Interpretation of results - Using SAS/STAT and SAS Enterprise Miner - Model assessment and validation - Model building and variable selection |



