Machine Learning
Amazon Kendra
Managed enterprise search service for indexed content retrieval.
Key points
- Kendra indexes supported enterprise content sources for relevance-ranked retrieval.
- Connector access, index freshness, document permissions, and retrieval behavior remain part of the ingestion design.
Best-known use cases
- Index documents from supported enterprise content sources.
- Provide relevance-ranked retrieval across internal knowledge repositories.
What candidates often confuse it with
- Kendra provides managed enterprise search; OpenSearch offers broader indexed search and analytics over data the team ingests.
Key takeaway
Choose Kendra when the requirement is managed retrieval across supported enterprise content repositories.
Relevant exam tasks
- D2.4 — Task 2.4: Design data models and schema evolution
- 2.4.6 — Describe vectorization concepts (for example, Amazon Bedrock knowledge base).