Databricks Certified Generative AI Engineer Associate · Free Practice Question Medium
Question 8
- A Low-latency GPU infrastructure for real-time queries.
- B Secure document retriever with access controls.
- C Embedding model trained on healthcare datasets.
- D Classification model for tagging medical conditions.
- E Summarizer model optimized for clinical reports.
Reveal correct answers
Correct answers: A, B, C, E
Explanation
RAG systems for healthcare require domain-specific embedding models, secure retrievers, summarization capabilities, and high-performance compute resources to ensure accuracy, compliance, and efficiency.A. Correct: GPUs are essential for efficiently handling the computational demands of retrieval and summarization in real-time applications.
B. Correct: A secure retriever prevents unauthorized access to sensitive patient data and ensures compliance with privacy regulations like HIPAA.
C. Correct: An embedding model trained on domain-specific data ensures that document embeddings align with medical terminology and user queries.
D. Incorrect: While classification may help identify conditions, it is not a mandatory component for RAG pipelines.
E. Correct: Summarization models tailored for clinical text ensure concise and relevant outputs for healthcare professionals.
Discussion
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