Databricks-Generative-AI-Engineer-Associate
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Databricks
Databricks-Generative-AI-Engineer-Associate Exam
Databricks Certified Generative AI Engineer Associate
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| Topic | Details |
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| Topic 1 | - 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.
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| Topic 2 | - Governance: Generative AI Engineers who take the exam get knowledge about masking techniques, guardrail techniques, and legal
- licensing requirements in this topic.
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| Topic 3 | - Evaluation and Monitoring: This topic is all about selecting an LLM choice and key metrics. Moreover, Generative AI Engineers learn about evaluating model performance. Lastly, the topic includes sub-topics about inference logging and usage of Databricks features.
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| Topic 4 | - 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.
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