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Generative AI Fundamentals Accreditation: How to Use Model Serving and Lakehouse Monitoring for Generative AI Applications

Learn how Databricks Lakehouse AI features, such as Model Serving and Lakehouse Monitoring, can help you deploy and manage your generative AI models and data pipelines.

Multiple Choice Question

Which of these two Databricks Lakehouse AI features are used in the production phase of Generative AI applications? Choose 2 options.

A. Model Serving
B. Lakehouse Monitoring
C. Feature Serving
D. MLFlow Evaluation


A. Model Serving
B. Lakehouse Monitoring


Model Serving is a feature of Databricks Lakehouse AI that allows customers to easily deploy and manage their generative AI models, such as large language models (LLMs), as scalable and reliable RESTful endpoints. Model Serving supports GPU-powered inference, which can significantly improve the performance and efficiency of LLMs. Model Serving also integrates with MLflow, a popular open source platform for the end-to-end machine learning lifecycle, to enable seamless tracking and management of model versions, experiments, and deployments.

Lakehouse Monitoring is a feature of Databricks Lakehouse AI that provides customers with end-to-end visibility into the data pipelines that drive their generative AI applications. Lakehouse Monitoring enables customers to monitor the quality, reliability, and freshness of their data, features, and models, as well as the performance, availability, and latency of their model serving endpoints. Lakehouse Monitoring also leverages MLflow to enable automatic lineage tracking and centralized permissions for all data, features, and models.

Generative AI Exam Question and Answer

The latest Generative AI Fundamentals Accreditation actual real practice exam question and answer (Q&A) dumps are available free, helpful to pass the Generative AI Fundamentals Accreditation certificate exam and earn Generative AI Fundamentals Accreditation certification.

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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