ai-300 Practice Question 2013
Exam: ai-300
Domain: Design an MLOps solution
Topic: Design an MLOps architecture
Difficulty: medium
In designing an MLOps architecture for a machine learning project, you need to integrate a feature store to manage and provide features for model training. Which of the following best describes the role of a feature store in this context?
Answer Options
A
Data Lake for storing raw data
B
Centralized repository for managing and providing features
C
Data Warehouse for analytics
D
Data Catalog for metadata discovery
Correct Answer
B: Centralized repository for managing and providing features
Explanation
The correct answer is B. A feature store centralizes the storage and management of features used in machine learning models, ensuring that the same features are used across different models and teams. This helps in maintaining consistency and reproducibility. Option A is incorrect because it refers to a data lake, which is primarily for storing raw data. Option C is incorrect as it pertains to a data warehouse, which is used for analytics rather than feature storage. Option D is incorrect because it refers to a data catalog, which is used for metadata discovery and governance, not feature storage.