Welcome to your one-stop solution for all the information you need to excel in the Qlik AI Specialist (QAIS) Certification exam. This page provides an in-depth overview of the Qlik QAIS Exam Summary, Syllabus Topics, and Sample Questions, designed to lay the foundation for your exam preparation. We aim to help you achieve your Qlik AI Specialist Certification goals seamlessly. Our detailed syllabus outlines each topic covered in the exam, ensuring you focus on the areas that matter most. With our sample questions and practice exams, you can gauge your readiness and boost your confidence to take on the Qlik AI Specialist Certification exam.
Why Qlik AI Specialist Certification Matters
The Qlik QAIS exam is globally recognized for validating your knowledge and skills. With the Qlik AI Specialist Certification credential, you stand out in a competitive job market and demonstrate your expertise to make significant contributions within your organization. The Qlik AI Specialist Certification exam will test your proficiency in the various syllabus topics.
Qlik QAIS Exam Summary:
| Exam Name | Qlik AI Specialist Certification |
| Exam Code | QAIS |
| Exam Duration | 120 minutes |
| Exam Questions | 50 |
| Passing Score | 73% |
| Exam Price | $250 (USD) |
| Books / Training | Qlik AI Specialist Certification Exam Preparation |
| Exam Registration | Qlik |
| Sample Questions | Qlik AI Specialist Certification Sample Question |
| Practice Exam | Qlik AI Specialist Certification Practice Exam |
Qlik QAIS Exam Syllabus Topics:
| Objective | Details |
|---|---|
| Introduction to Artificial Intelligence (30%) |
- Understand various subsets of AI including GenAI and machine learning. - Contrast the different ways humans communicate with AI (Natural Language Processing, Large Language Models). - Define common AI terms and concepts. |
| Business applications for Artificial Intelligence (30%) |
- Identify appropriate use cases for GenAI and machine learning. - Recognize the LLM Application Project Lifecycle. - Evaluate the production of LLM apps including adapting data pipelines, reducing latency, and expanding the usefulness of LLMs. - Explain the fundamentals of the Machine Learning workflow. - Assess Data Governance, security practices, and ethical considerations for projects involving AI. - Identify the limitations of AI and the data challenges involved in implementing GenAI. |
| Fundamentals of Qlik Answers (15%) |
- Outline a typical workflow for Qlik Answers. - Recognize key concepts and terms associated with Qlik Answers, including retrieval augmented generation (RAG). - Evaluate use cases for Qlik Answers. |
| Fundamentals of Qlik Machine Learning (15%) |
- Understand the foundations of Qlik AutoML. - Demonstrate appropriate application of the Qlik AutoML workflow. - Evaluate use cases for Qlik Auto ML. |
| Fundamentals of Insight Advisor (10%) |
- Generate insights using Insight Advisor. - Demonstrate best practices in interacting with Insight Advisor (prompt generation). |
The Qlik has created this credential to assess your knowledge and understanding in the specified areas through the QAIS certification exam. The Qlik AI Specialist Certification exam holds significant value in the market due to the brand reputation of Qlik. We highly recommend thorough study and extensive practice to ensure you pass the Qlik AI Specialist Certification exam with confidence.
