SAS Certified Specialist: Machine Learning Using SAS Viya 3.4

SAS Certified Specialist: Machine Learning Using SAS Viya 3.4 Study Guide focuses on core skills

• Data Sources 
• Building Models 
• Model Assessment and Deployment 

Machine Learning Using SAS Viya 3.4 Online Tutorial focuses on building an understanding of -

• Visual Data Mining and Machine Learning software
• Creating supervised machine learning models
• Evaluating model performance
• Deploying models into production
  

It takes a lot of work to become a SAS Certified Specialist in Machine Learning Using SAS Viya 3.4. To pass the test and receive certification, you must put in a lot of effort and devotion. As a result, we’ve prepared this study guide to assist you in your preparation.

Preparation Guide for the SAS Certified Specialist: Machine Learning Using SAS Viya 3.4 Exam

Candidates may attempt each certification exam up to five times in a 12-month period, waiting for a minimum of 14 days between attempts. Exam charges are incurred for each exam attempt. Exams that do not comply with this retake policy will be considered invalid and will not be eligible for refund and/or a certification credential.  Once a passing score is achieved on a specific exam, no further attempts are allowed on that exam.

A scaled score converts the raw score (number of test questions answered correctly) to a consistent and standardized scale and is a common practice in certification programs to ensure that all forms of an exam have the same level of difficulty. With the complexity of practical testing and multiple case studies in the Predictive Modeling Using SAS Enterprise Miner exam, SAS use scaled scoring for this purpose which means that candidates taking the exam will have a consistent level of difficulty regardless of the set of exam questions presented.

Learning SAS can help you advance in your current position – or take your career in an entirely new direction. You’ll gain one of the top skills that employers are looking for and increase your marketability in the tech industry.

The examination fee for the SAS exams is $180 USD in India and most other countries.

The candidate can register the SAS exam at the Pearson VUE. 

The candidate will be given 90 minutes to complete the exam. 

The passing marks for the Machine Learning exam is 70%. 

There are 50-55 multiple-choice and short-answer questions in the exam.

The objectives for the Machine Learning are:

• Data Sources (30%)
• Building Models (50%)
• Model Assessment and Deployment (20%)

• Validate your skills. Stand out.
• Earn recognition for your knowledge.
• Increase your value to your employer.
• Enhance your credibility as a SAS professional.
• Get a digital badge you can share.

The candidates who want to become data scientists who create supervised machine learning models using pipelines in SAS Viya.

Designed for individuals who wish to showcase their AI and Analytics Talent using Open Source and SAS tools to garner insight from data. The SAS Certified Specialist: Machine Learning Using SAS Viya 3.4 exam tests the candidate knowledge of SAS Visual Data Mining and Machine Learning software and skills such as preparing data and feature engineering, creating supervised machine learning models, assessing model performance, deploying models into production, etc.