Databricks Databricks-Generative-AI-Engineer-Associate - PDF電子當

Databricks-Generative-AI-Engineer-Associate pdf
  • 考試編碼：Databricks-Generative-AI-Engineer-Associate
  • 考試名稱：Databricks Certified Generative AI Engineer Associate
    • 更新時間：2025-05-01
  • 問題數量：63 題
  • PDF價格: $59.98
  • 電子當(PDF)試用

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  • 考試編碼：Databricks-Generative-AI-Engineer-Associate
  • 考試名稱：Databricks Certified Generative AI Engineer Associate
    • 更新時間：2025-05-01
  • 問題數量：63 題
  • PDF電子當 + 軟件版 + 在線測試引擎(免費送)
  • 套餐價格: $119.96  $79.98
  • 節省 50%

Databricks Databricks-Generative-AI-Engineer-Associate - 軟件版

Databricks-Generative-AI-Engineer-Associate Testing Engine
  • 考試編碼：Databricks-Generative-AI-Engineer-Associate
  • 考試名稱：Databricks Certified Generative AI Engineer Associate
    • 更新時間：2025-05-01
  • 問題數量：63 題
  • 軟件版價格: $59.98
  • 軟件版

Databricks Certified Generative AI Engineer Associate : Databricks-Generative-AI-Engineer-Associate 考試題庫簡介

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Free Download Databricks-Generative-AI-Engineer-Associate pdf braindumps

Databricks Databricks-Generative-AI-Engineer-Associate 考試大綱：

主題簡介
主題 1
  • Data Preparation: Generative AI Engineers covers a chunking strategy for a given document structure and model constraints. The topic also focuses on filter extraneous content in source documents. Lastly, Generative AI Engineers also learn about extracting document content from provided source data and format.
主題 2
  • Application Development: In this topic, Generative AI Engineers learn about tools needed to extract data, Langchain
  • similar tools, and assessing responses to identify common issues. Moreover, the topic includes questions about adjusting an LLM's response, LLM guardrails, and the best LLM based on the attributes of the application.
主題 3
  • Assembling and Deploying Applications: In this topic, Generative AI Engineers get knowledge about coding a chain using a pyfunc mode, coding a simple chain using langchain, and coding a simple chain according to requirements. Additionally, the topic focuses on basic elements needed to create a RAG application. Lastly, the topic addresses sub-topics about registering the model to Unity Catalog using MLflow.
主題 4
  • Design Applications: The topic focuses on designing a prompt that elicits a specifically formatted response. It also focuses on selecting model tasks to accomplish a given business requirement. Lastly, the topic covers chain components for a desired model input and output.
主題 5
  • Governance: Generative AI Engineers who take the exam get knowledge about masking techniques, guardrail techniques, and legal
  • licensing requirements in this topic.

參考：https://www.databricks.com/learn/certification/genai-engineer-associate

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