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description: "Learn about SQL Server 2022's new features including AI integration, advanced analytics, improved security, and enhanced developer tools."
title: Deployment options, licensing, and feature differences
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metadata:
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title: Deployment options, licensing, and feature differences
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description: "Explore SQL Server 2025's deployment options, including enhanced containerization, cloud-native features, editions, licensing, and the new preview feature capability"
title: Explore AI-powered capabilities for modern data solutions
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metadata:
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title: Explore AI-powered capabilities for modern data solutions
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description: "Discover SQL Server 2025's native AI capabilities including vector search, model management, and integration with Microsoft Foundry, OpenAI, and other AI services through T-SQL"
title: Unlock advanced analytics capabilities for your organization
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metadata:
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title: Unlock advanced analytics capabilities for your organization
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description: "Explore SQL Server 2025's analytics capabilities including Microsoft Fabric integration, advanced mirroring, Power BI Report Server integration, and improved resource governance for analytics workloads"
title: Elevate developer productivity with tools and integrated services
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metadata:
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title: Elevate developer productivity with tools and integrated services
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description: "Learn about SQL Server 2025's developer enhancements including native JSON support, REST API integration, real-time event streaming, new Python driver, and AI-powered development with GitHub Copilot"
title: Maximize performance to drive speed and efficiency
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metadata:
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title: Maximize performance to drive speed and efficiency
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description: "Discover SQL Server 2025's intelligent query processing features, including AI-driven query optimization, Parameter Sensitive Plan improvements, enhanced Query Store capabilities, and advanced resource governance"
description: "Explore SQL Server 2025's enhanced security features including optimized security cache, OAEP encryption support, managed identity integration, modern protocol support, and advanced authentication options"
Answer the following questions to test your knowledge of SQL Server 2025 features.
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quiz:
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questions:
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- content: "Which feature in SQL Server 2025 enables semantic search and similarity matching using vector embeddings?"
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choices:
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- content: "Full-text search"
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isCorrect: false
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explanation: "Incorrect. Full-text search is a traditional text search feature. Vector search is the new feature that enables semantic search and similarity matching."
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- content: "Vector search"
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isCorrect: true
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explanation: "Correct. Vector search is a new feature in SQL Server 2025 that enables semantic search and similarity matching using vector embeddings."
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- content: "Regular expressions"
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isCorrect: false
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explanation: "Incorrect. Regular expressions are used for pattern matching in text. Vector search is used for semantic search and similarity matching."
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- content: "Text chunking"
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isCorrect: false
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explanation: "Incorrect. Text chunking is a preprocessing step. Vector search is the feature that enables semantic search functionality."
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- content: "What is the key improvement in Microsoft Fabric mirroring compared to traditional Change Data Capture (CDC)?"
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choices:
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- content: "Uses SQL Server Agent for key functions"
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isCorrect: false
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explanation: "Incorrect. SQL Server 2025's Change Feed method eliminates the need for SQL Server Agent, unlike CDC."
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- content: "Requires On-premises Data Gateway"
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isCorrect: false
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explanation: "Incorrect. The new Change Feed method uses direct writes to OneLake, with OPDG only for control and command."
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- content: "Uses Change Feed method for direct streaming"
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isCorrect: true
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explanation: "Correct. SQL Server 2025 replaces CDC with the Change Feed method, enabling direct streaming to OneLake with reduced overhead."
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- content: "Requires Arc Agent for authentication"
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isCorrect: false
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explanation: "Incorrect. Arc Agent provides system managed identity but isn't the key improvement over CDC."
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- content: "Which new capability in SQL Server 2025 allows developers to validate and transform text using pattern matching directly in T-SQL?"
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choices:
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- content: "JSON functions"
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isCorrect: false
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explanation: "Incorrect. JSON functions handle JSON data structure but don't provide pattern matching capabilities."
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- content: "Regular expressions (RegEx)"
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isCorrect: true
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explanation: "Correct. Regular expressions in SQL Server 2025 enable pattern matching and text transformation directly in T-SQL."
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- content: "REST APIs"
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isCorrect: false
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explanation: "Incorrect. REST APIs are for external service integration, not text pattern matching."
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- content: "Vector embeddings"
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isCorrect: false
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explanation: "Incorrect. Vector embeddings are used for semantic search, not text pattern matching."
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- content: "What improvement in Query Store helps monitor performance in high-availability environments?"
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choices:
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- content: "Automatic index recommendations"
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isCorrect: false
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explanation: "Incorrect. While this is a feature, the key improvement for HA environments is performance monitoring on readable secondaries."
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- content: "Plan improvement suggestions"
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isCorrect: false
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explanation: "Incorrect. Plan improvements are a general feature, not specific to high-availability monitoring."
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- content: "Performance monitoring on readable secondaries"
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isCorrect: true
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explanation: "Correct. Query Store now supports capturing performance data on readable secondary replicas, which is valuable in high-availability environments."
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- content: "Cross-database query monitoring"
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isCorrect: false
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explanation: "Incorrect. While this is a feature, the specific improvement for HA environments is monitoring on readable secondaries."
description: "Review the key features and capabilities of SQL Server 2025, including AI integration, analytics improvements, advanced security, and enhanced developer tools"
[SQL Server 2025](/sql/sql-server/what-s-new-in-sql-server-2025) introduces core improvements in AI integration, security, performance, availability, and data virtualization.
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SQL Server 2025 helps organizations integrate AI capabilities, connect with cloud services, and improve analytics and development workflows. This release adds features for Azure integration, analytics, and developer productivity.
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:::image type="content" source="../media/sql-2005-ai-2.png" alt-text="Illustration of AI-powered search and integration in SQL Server 2025.":::
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Organizations can accelerate application performance with intelligent query processing, protect data with advanced security and compliance features, and achieve greater scalability and availability with AI for mission-critical workloads.
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SQL Server 2025 also empowers developers to build modern applications by connecting relational data with data lakes, leveraging built-in AI models, and utilizing enhanced T-SQL capabilities. New support for [Simple Storage Service (S3) compatible storage providers](/sql/relational-databases/backup-restore/sql-server-backup-and-restore-with-s3-compatible-object-storage) and expanded cloud-native features enable flexible data management and analytics.
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> [!NOTE]
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> This module covers features available in the SQL Server 2025 preview release. Some features might change before the final release.
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Here are some of the capabilities you learn about in this module:
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-**Deployment options and differences in SQL Server 2025**: Explore new deployment methods, including enhanced containerization and cloud-native options, and understand the differences from previous releases.
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-**AI-powered and cloud-connected scenarios**: Learn about new AI integration, hybrid capabilities, and how to connect to Azure for managed disaster recovery, real-time analytics, and advanced security.
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-**Intelligent query processing and analytics**: Discover new engine capabilities for intelligent query performance, built-in AI analytics, and deep insights with minimal code changes.
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-**Advanced security, scalability, and availability**: Understand the latest security enhancements, compliance features, and improvements in scalability and high availability.
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-**Data virtualization and object storage**: Access and analyze data across on-premises, cloud, and S3-compatible object storage providers with new connectors and virtualization features.
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-**Developer productivity and T-SQL enhancements**: Utilize new T-SQL language features, AI functions, and developer tools to build modern data-driven applications.
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