Databricks-GenAI-Assoc Design Applications Practice Question
Exhibit
{"vector_search_index": {"status": "ONLINE", "sync_mode": "INCREMENTAL", "source_table": "catalog.schema.docs", "embedding_model": "bge-base-en"}}Refer to the exhibit. The Databricks Vector Search index is currently in an 'ONLINE' status with incremental sync. If a developer performs a DELETE operation on the source Delta table, what happens to the vector index?
⚠ Common exam trap
Candidates assume deletions require a full manual re-index of the vector store, forgetting that incremental sync automatically processes table transaction logs.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The record is automatically removed from the index during the next sync cycle.
When using incremental synchronization, the Databricks Vector Search service monitors the Delta table's transaction log for changes. A delete operation recorded in the Delta log will trigger a corresponding removal in the index. This ensures the index remains a true representation of the source data, which is critical for compliance and data quality, ensuring the RAG application does not retrieve outdated or removed sensitive information.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The record remains in the index until a full re-index is manually triggered.
Why it's wrong here
Incremental synchronization is designed to keep the index updated in near real-time without manual intervention. Relying on a full re-index for deletions would result in stale data persisting in the index, which contradicts the core purpose of maintaining an accurate, dynamic vector store for retrieval tasks.
- ✗
The system throws an error because vector indexes do not support deletes.
Why it's wrong here
Databricks Vector Search supports incremental updates, including deletes, updates, and inserts, by consuming the Delta table's change data feed or transaction log. The system is architected to handle these operations gracefully to maintain data integrity between the source table and the vector representation.
- ✓
The record is automatically removed from the index during the next sync cycle.
Why this is correct
Incremental sync mode ensures that changes to the Delta table, including deletions, are propagated to the vector index. By monitoring the Delta log, the service identifies the deleted record and updates the index accordingly, keeping the vector store accurate with minimal latency without requiring manual maintenance.
- ✗
The index enters a 'PENDING_DELETE' state and stops accepting queries.
Why it's wrong here
The index remains in an 'ONLINE' state while processing incremental updates. It does not stop accepting queries when standard CRUD operations occur on the source table. The system is designed for high availability and continuous operation, ensuring that the RAG application remains functional throughout the synchronization process.
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Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Databricks exam blueprint
This Databricks-GenAI-Assoc practice question is part of Courseiva's free Databricks certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Databricks-GenAI-Assoc exam.