Databricks Generative AI Engineer Associate: Practice Exams

About this course

Are you ready to master Generative AI and become a Databricks Generative AI Engineer Associate? This course will equip you with the skills to build, deploy, and optimize AI solutions using LLMs (Large Language Models), Vector Search, MLflow, and Model Serving on Databricks.

Why Enroll?

Hands-on real-world projects with Databricks notebooks

Industry-relevant case studies & best practices

Covers all topics required for the Databricks Generative AI Engineer Associate certification

Step-by-step guidance for beginners and professionals

By the end of this course, you’ll have the expertise to implement AI-driven applications, optimize machine learning workflows, and ace the Databricks Generative AI Engineer Associate exam!

Exam Details:

• Format: Online proctored certification exam
• Number of Questions: 45 multiple-choice Duration: 90 minutes

Exam Content Breakdown:

Design Applications (14%): Crafting prompts, selecting model tasks, and translating business requirements into AI solutions.​Data Preparation (14%): Implementing data chunking strategies, filtering content, and preparing data for RAG applications.​Application Development (30%): Developing tools for data extraction, creating prompts, implementing LLM guardrails, and selecting appropriate models.​Assembling and Deploying Applications (22%): Coding chains, deploying endpoints, and utilizing Databricks features like Vector Search and Model Serving.​Governance (8%): Applying data masking techniques, implementing guardrails, and ensuring compliance with legal requirements.​Evaluation and Mon

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