Practice Tests: Databricks Certified Generative AI Engineer AssociateDescription: If you looking for practice tests for Databricks Certified Generative AI Engineer Associate exam, you have come to the right place! Two practice tests with detailed explanations are available to prepare you before appearing for the actual exam.About the Exam:1. Number of items: 45 multiple-choice or multiple-selection questions2. Time Limit: 90 minutes3. Registration fee: $2004. Delivery method: Online Proctored5. Validity: 2 years.8. Recertication: Recertication is required every two years to maintain your certified status.The practice tests cover the following exam topics with explanations:Section 1: Design ApplicationsDesign a prompt that elicits a specifically formatted responseSelect model tasks to accomplish a given business requirementSelect chain components for a desired model input and outputTranslate business use case goals into a description of the desired inputs and outputs for the AI pipelineDene and order tools that gather knowledge or take actions for multi-stage reasoningSection 2: Data PreparationApply a chunking strategy for a given document structure and model constraintsFilter extraneous content in source documents that degrades quality of a RAG applicationChoose the appropriate Python package to extract document content from provided source data and format.Dene operations and sequence to write given chunked text into Delta Lake tables in Unity CatalogIdentify needed source documents that provide necessary knowledge and quality for a given RAG applicationIdentify prompt/response pairs that align with a given model task<
What you'll learn
Understand how to design prompts for AI applications
Apply strategies for document processing in data retrieval
Identify and filter relevant content for AI model training
Utilize Python packages for data extraction and manipulation
Course objectives
Prepare students for the Databricks Certified Generative AI Engineer Associate exam
Improve test-taking skills through practice
Enhance understanding of generative AI concepts and applications