Amazon Q Business & Q Developer

Amazon Q Business Overview

• Amazon Q Business is a fully managed generative AI assistant for enterprises that can answer questions, provide summaries, generate content, and take actions based on enterprise data.
• Connects to 40+ enterprise data sources (S3, SharePoint, Confluence, Slack, Salesforce, Google Drive, Gmail, Jira, ServiceNow, databases, and more).
• Provides secure, accurate answers grounded in company data with citations and source attribution.
• Respects existing access controls and permissions — users only see answers from data they’re authorized to access (ACL-aware).
• Previously known as “Amazon Q for Business” — rebranded as Amazon Q Business (GA April 2024).

Key Features

• Enterprise Search — natural language search across all connected data sources with ranked results.
• Conversational AI — multi-turn conversations with context retention.
• Content Generation — draft emails, reports, summaries, blog posts based on enterprise data.
• Document Summarization — summarize long documents, meeting transcripts, and reports.
• Actions & Plugins — perform tasks like creating Jira tickets, sending emails, updating Salesforce records.
• Custom Plugins — build custom actions using OpenAPI schemas.
• Amazon Q Apps — no-code app builder for creating lightweight gen-AI applications from natural language descriptions.
• Data Insights — ask questions about structured data (databases, spreadsheets) with auto-generated visualizations.

Data Sources & Connectors

• AWS Sources: S3, RDS, Aurora, Redshift, DynamoDB, WorkDocs
• Collaboration: Slack, Microsoft Teams, Confluence, SharePoint Online, Google Drive
• Productivity: Gmail, Outlook, OneDrive, Box, Dropbox
• CRM/ITSM: Salesforce, ServiceNow, Zendesk
• Development: Jira, GitHub, GitLab
• Databases: PostgreSQL, MySQL, SQL Server, Oracle
• Custom: Web Crawler, Custom connectors via API
• Supports incremental sync — only indexes changed content.
• 40+ pre-built connectors available.

Security & Access Control

• ACL-aware retrieval — respects source system permissions (if a user can’t access a SharePoint doc, Q won’t use it in answers).
• IAM Identity Center integration — SSO with corporate identity providers (Okta, Azure AD, Ping).
• Encryption — data encrypted at rest (KMS, customer-managed keys supported) and in transit (TLS 1.2+).
• VPC support — keep data connector traffic within VPC.
• Admin controls — block specific topics, configure response behavior, set global/topic-level guardrails.
• Audit logging — CloudTrail integration for all API calls.
• Data retention — configurable conversation history retention.

Amazon Q Apps

• No-code app builder — create gen-AI powered apps by describing them in natural language.
• Apps can include: text generation, file upload, data queries, and custom actions.
• App library — share apps across the organization.
• Built on top of Q Business data and permissions.
• Example apps: Meeting summarizer, FAQ generator, onboarding assistant, report builder.

Amazon Q Developer

• Separate product from Q Business — focused on software development assistance.
• Code generation — inline code suggestions in IDEs (VS Code, JetBrains, Visual Studio).
• Code transformation — automated Java version upgrades (Java 8/11 → 17), .NET upgrades.
• Chat — answer questions about AWS services, your codebase, and best practices.
• /dev agent — implement features from natural language descriptions across multiple files.
• /review — automated code review with security scanning.
• AWS Console integration — troubleshoot errors, explain resources, generate CLI commands.
• Customization — connect to private repositories for organization-specific suggestions.
• Operational investigations — diagnose and resolve operational issues in AWS.

Amazon Q Business vs Amazon Bedrock

Pricing

• Q Business Lite — $3/user/month (search, Q&A, summaries).
• Q Business Pro — $20/user/month (Lite features + plugins, actions, Q Apps, admin controls).
• Q Developer Free Tier — limited code suggestions per month.
• Q Developer Pro — $19/user/month (unlimited suggestions, /dev agent, code transformation).
• Index pricing — based on document count and storage.

AWS Certification Exam Practice Questions

1. A company wants employees to ask questions about internal policies, HR documents, and project wikis stored across SharePoint and Confluence. The solution must respect existing document permissions. Which service is most appropriate?
   1. Amazon Bedrock with Knowledge Bases
   2. Amazon Q Business
   3. Amazon Kendra
   4. Amazon Lex with Lambda
2. A development team needs AI-assisted code reviews and the ability to automatically upgrade their Java 8 applications to Java 17. Which service provides this?
   1. Amazon Q Business
   2. Amazon CodeWhisperer
   3. Amazon Q Developer
   4. Amazon Bedrock Agents
3. An organization using Amazon Q Business wants non-technical employees to create simple AI-powered apps (like a meeting summarizer) without writing code. Which feature enables this?
   1. Custom plugins
   2. Bedrock Flows
   3. Amazon Q Apps
   4. Bedrock Studio
4. A security team needs to ensure that when employees use the company’s AI assistant, a junior analyst cannot receive answers from executive-level strategy documents they don’t have access to in SharePoint. How does Q Business handle this?
   1. Guardrails block the content category
   2. Admin manually configures document-level permissions
   3. ACL-aware retrieval automatically respects source system permissions
   4. IAM policies restrict Q Business API calls
5. A company is choosing between Amazon Q Business and Amazon Bedrock Knowledge Bases for their internal document Q&A system. They have 40,000 employees, documents in 8 different systems, and no ML engineering team. Which should they choose?
   1. Bedrock Knowledge Bases (more flexible)
   2. Amazon Q Business (turnkey, 40+ connectors, no code needed)
   3. Amazon Kendra (purpose-built search)
   4. Custom RAG solution on EC2

Related Posts

• Amazon Bedrock – Generative AI Service
• AWS AI & ML Services Cheat Sheet
• AWS SageMaker AI
• AWS Serverless Services Cheat Sheet

References

Amazon Q Business User Guide

Amazon Q Developer User Guide

Amazon Q Business Product Page

Amazon Q Developer Product Page