Which service is designed for enterprise search across content repositories?

• A. Amazon Lex
• B. Amazon Kendra
• C. Amazon Forecast
• D. AWS IoT 1-Click

Answer: (B)

Enterprise search across content repositories relies on a service that can index data from many different sources and return relevant, context-rich results in natural language. Amazon Kendra is that capability: a fully managed enterprise search service that can connect to a wide range of data repositories and let users search across them with intuitive queries.

Kendra aggregates content from sources like file shares, databases, SharePoint, Salesforce, S3, Confluence, Jira, and more through prebuilt or custom connectors. It uses machine learning to understand natural language queries, surface the most relevant documents, and even provide extractive answers or concise passages in response to questions. You can tune ranking, create FAQs, and support targeted search experiences by configuring metadata, synonyms, and access controls. It also supports secure deployment options, including IAM-based permissions, encryption, and VPC endpoints, so sensitive internal content stays protected.

Compared to other services: Lex is geared toward building chatbots and conversational agents, Forecast focuses on time-series forecasting, and IoT 1-Click is for provisioning and triggering actions for devices. None of those are designed to provide enterprise-wide search across diverse content repositories in the same integrated way as Kendra.