Exam Professional Machine Learning Engineer topic 1 question 303 discussion

B. Configure Vertex AI Vector Search as the search platform’s backend. Why Option B? Best for Semantic Search & Metadata Queries Keyword-based search is insufficient for complex semantic queries (e.g., "Find action movies starring Tom Cruise directed by Christopher Nolan"). Vertex AI Vector Search supports vector embeddings, which enable semantic similarity search instead of exact keyword matching. Fast Proof of Concept with Minimal Effort Pre-built solution for semantic search with high scalability. No need to manually train a model—simply generate embeddings from movie metadata (actors, genre, director, etc.) and store them in Vertex AI Vector Search. Scalable and High-Performance Search Engine Optimized for low-latency searches and retrieves the most relevant results quickly. Works well with multi-dimensional search queries, making it ideal for metadata-rich movie searches.