SAS Certified Specialist: Machine Learning Using SAS Viya 3.4
The Machine Learning Using SAS Viya 3.4 exam assesses a candidate’s understanding of Visual Data Mining and Machine Learning software as well as skills such as data preparation and feature engineering, creating supervised machine learning models, evaluating model performance, and deploying models into production, among other things. However, the exam is for people who want to show off their AI and Analytics skills by analyzing data with Open Source and SAS tools. Candidates who have acquired this certificate have passed the SAS Viya 3.4 Supervised Machine Learning Pipelines test.
Target Audience:
- Who wants to become data scientists who create supervised machine learning models using pipelines in SAS Viya.
Benefits of SAS Credentials
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.
Check: SAS Certified Specialist: Machine Learning Interview Questions
Learning Path
SAS offers numerous certifications which have been categorized in several categories such as Foundation tools, Advanced analytics, BI and Analytics, Data Management, Administration, JMP, etc. The Machine Learning Using SAS Viya 3.4 exam falls under the category of Advanced Analytics.
Learning Objectives
The objectives for the SAS Certified Specialist: Machine Learning Using SAS Viya 3.4 are:
1. Data Sources (30%)
- Create a project in Model Studio (Reference: Creating a New Project)
- Explore the data (Reference: Easing into Data Exploration, Reporting, and Analytics Using SAS Enterprise Guide)
- Modify data (Reference: MODIFY Statement)
- Reduce the dimensionality of the data (Reference: Multivariate Analysis: Principal Component Analysis)
- Use the VARIABLE SELECTION node to identify important variables (Reference: Variable Selection Node)
2. Building Models (50%)
- Describe key supervised machine learning terms and concepts (Reference: Machine Learning)
- Build models with decision trees and ensemble of trees (Reference: Tree-Based Machine Learning Methods in SAS Viya)
- Building models with neural networks (Reference: How to build deep learning models with SAS)
- Build models with support vector machines (Reference: Application of Support Vector Machine Modeling and Graph Theory Metrics for Disease Classification)
- Use Model Interpretability tools to explain black box models (Reference: Explaining complex models in SAS Viya with programmatic interpretability)
- Incorporate externally written code (Reference: Registering an External File with User-Written Code)
3. Model Assessment and Deployment (20%)
- Explain the principles of Model Assessment (Reference: Model assessment and selection in machine learning)
- Assess and compare models in Model Studio (Reference: Compare Models)
- Deploy a model (Reference: How to deploy and run your model with SAS Model Manager to the SAS Micro Analytic Score Service)
Exam Details
- Machine Learning SAS Certified Specialist SAS and Pearson VUE jointly deliver the SAS Viya 3.4 exam, which has an ID (A00-401).
- This test is based on SAS Viya 3.4 and has 50-55 multiple-choice and short-answer questions. To pass the exam, the applicant must score at least 70%.
- Lastly, the Machine Learning test will be given 90 minutes to the candidate to complete.
Scheduling the Exam
- The candidate needs to register the exam at Pearson VUE. The exam ID i.e A00-401 will be required while registering.
- The exam fee is $180 USD in India and most other countries.
Exam Policies
The candidate should visit the SAS official website for understanding the terms and policies. The test terms and policies include a wide range of topics, including age restrictions and minor rules, candidate identity and authentication, rights and obligations, confidentiality and agreements, and so on.
SAS Certified Specialist: Machine Learning Using SAS Viya 3.4 FAQ
SAS Certified Specialist: Machine Learning Using SAS Viya 3.4 Preparation Steps
The preparation steps which are essential in order to successfully pass the SAS Certified Specialist: Machine Learning Using SAS Viya 3.4 exam are:
1. SAS Official Website
Visiting the SAS official website is an important step while preparing for the Machine Learning exam. The official site offers a lot of reliable information and sources which are very helpful in preparing for the exam. The resources such as study guide, documentation, sample papers, flashcards, whitepapers, faqs, etc. The candidate can find all such important things on the official page.
2. SAS Training Program
Training programs are a very necessary step in the preparation of such exams like SAS Certified Specialist: Machine Learning Using SAS Viya 3.4. SAS offers its own training programs on their various examinations and certifications. The schedule for training is available on the official website.
3. Flashcards
Studying flashcards will test the candidate’s knowledge about the SAS Viya 3.4 exam with quiz-style printable flashcards. And, the study flashcards highlight the most critical learning points from the SAS Viya 3.4 study guide.
4. Books and Guides
The next step in the preparatory guide should be books and study guides. The candidate needs to find those books which are enriched with information. Finding a good book may be a difficult task, but in order to gather the knowledge and skills, the candidate has to find, read and understand. The candidate can find SAS books here!
5. Practice Test
Most importantly, candidates have to try their hands-on practice tests. Practice tests are the one that secures the candidate about their preparation. The practice test will help the candidates to recognize their vulnerable areas so that they can work on them. There are many practice tests available on the internet nowadays, so the candidate can choose which they want.
6. Join a Study Group
Joining a group study will also be beneficial for the candidate. It will encourage them to do more hard work. Also, studying in the group will help them to stay connected with the other people who are on the same pathway as them. Also, the discussion of such study groups will benefit the students in their exam.