Microsoft Certified: SQL AI Developer Associate (DP-800)

Microsoft DP-800: Developing AI-Enabled Database Solutions

UPDATED FOR THE NEW DP-800 EXAM – SKILLS MEASURED AS OF OCTOBER 19, 2026

Prepare for DP-800: Developing AI-Enabled Database Solutions, the exam required to earn the Microsoft Certified: SQL AI Developer Associate certification.

This practice test course covers the DP-800 Skills Measured as of October 19, 2026, including the latest Microsoft SQL development and AI capabilities.

The exam focuses on developing database solutions across Microsoft SQL Server, Azure SQL, and SQL databases in Microsoft Fabric, with additional emphasis on AI-assisted SQL development, GitHub Copilot, Model Context Protocol (MCP), embeddings, vector search, hybrid search, and retrieval-augmented generation (RAG).

These practice tests cover technical scenarios involving advanced T-SQL, database objects, security, query optimization, SQL Database Projects, CI/CD, Data API builder, Azure services, external AI models, intelligent search, and AI-enabled applications.

Rather than relying on memorized definitions, the questions examine how SQL developers select technologies, solve database problems, troubleshoot performance, and implement AI capabilities.

Each practice test is timed and scored and includes explanations for the correct and incorrect answers.

DP-800 Exam Objectives – October 19, 2026

The updated Microsoft DP-800 exam measures three main areas:

Design and develop database solutions – 35–40%

Secure, optimize, and deploy database solutions – 35–40%

Implement AI capabilities in database solutions – 25–30%

1. Design and Develop Database Solutions

Practice questions covering database design and development across SQL Server, Azure SQL, and Microsoft Fabric SQL databases.

Topics include:

• Tables, columns, and data types

• Indexes and columnstore indexes

• In-memory, temporal, external, ledger, and graph tables

• JSON columns and indexes

• Database constraints

• Sequences

• Table and index partitioning

• Views

• Scalar and table-valued functions

• Stored procedures

• Triggers

Advanced T-SQL Development

Review advanced SQL development scenarios involving:

• Common table expressions (CTEs)

• Window functions

• Correlated queries

• Error handling

• JSON functions

• Regular expressions

• Fuzzy string matching

• Graph queries using MATCH

Questions also cover functions such as JSON_OBJECT, JSON_ARRAYAGG, OPENJSON, JSON_VALUE, REGEXP_LIKE, REGEXP_REPLACE, EDIT_DISTANCE, and JARO_WINKLER_DISTANCE.

AI-Assisted SQL Development

The updated DP-800 exam includes AI-assisted development technologies such as:

• GitHub Copilot

• Copilot in Microsoft Fabric

• GitHub Copilot instruction files

• Model Context Protocol (MCP)

• SQL Server MCP endpoints

• Fabric lakehouse MCP endpoints

• AI tool configuration

• Security considerations for AI-assisted development

2. Secure, Optimize, and Deploy Database Solutions

Practice implementing database security, improving SQL performance, and deploying database solutions.

Database Security

Topics include:

• Always Encrypted

• Column-level encryption

• Dynamic Data Masking

• Row-Level Security

• Object-level permissions

• Passwordless authentication

• Database auditing

• Managed Identity

• Secure REST, GraphQL, and MCP endpoints

SQL Performance Optimization

Review scenarios involving:

• Query execution plans

• Query Store

• Dynamic management views

• Query Performance Insight

• Blocking and deadlocks

• Transaction isolation levels

• Concurrency control

• Database performance troubleshooting

SQL Database Projects and CI/CD

Practice working with:

• SQL Database Projects

• GitHub

• Source control

• Branches and pull requests

• Unit and integration testing

• Database model validation

• Schema drift detection

• Deployment pipelines

• Secrets management

• Database deployment automation

Data API Builder and Azure Services

Review integration scenarios involving:

• Data API builder (DAB)

• REST APIs

• GraphQL endpoints

• Data caching

• Pagination and filtering

• Stored procedure exposure

• Azure Monitor

• Application Insights

• Log Analytics

• Change Data Capture (CDC)

• Change Tracking

• Azure Functions

• Azure Logic Apps

3. Implement AI Capabilities in Database Solutions

This section covers the AI development skills measured in DP-800.

External AI Models and Embeddings

Practice scenarios involving:

• External AI models

• Multimodal and multilanguage models

• Structured model output

• Model selection

• Creating and managing external models

• Embedding generation

• Embedding maintenance

• Chunking strategies

• Selecting database columns for embeddings

Intelligent Search

Review how modern SQL solutions implement:

• Full-text search

• Semantic vector search

• Hybrid search

• Vector data types

• Vector indexes

• Vector dimensions

• Vector distance metrics

• VECTOR_NORMALIZE

• VECTOR_DISTANCE

• VECTORPROPERTY

• VECTOR_SEARCH

ANN, KNN, and Hybrid Search

Practice choosing between approximate nearest-neighbor (ANN) and exact nearest-neighbor (KNN) search.

Questions also cover reciprocal rank fusion (RRF), search performance, retrieval accuracy, latency, and combining keyword search with semantic similarity.

Retrieval-Augmented Generation (RAG)

Review how SQL database solutions can support AI applications through:

• RAG architecture

• Database retrieval

• Prompt construction

• Structured data conversion to JSON

• Language-model integration

• sp_invoke_external_rest_endpoint

• Sending retrieved context to language models

• Processing language-model responses

These scenarios focus on using SQL data to provide relevant context for AI-generated responses.

What You Get in This Course

DP-800 Practice Tests Updated for October 19, 2026

The questions cover the Microsoft DP-800 Skills Measured as of October 19, 2026, including the updated SQL development, AI, vector search, and RAG objectives.

Scenario-Based Questions

Practice realistic SQL development scenarios involving SQL Server, Azure SQL, Microsoft Fabric, GitHub Copilot, MCP, database security, performance tuning, embeddings, intelligent search, and AI applications.

Detailed Answer Explanations

Every question includes an explanation of the correct answer and why the other answer choices are incorrect.

Timed Practice Exams

Work through timed practice tests, review your results, and identify topics that need additional attention.

Study on Any Device

Access the course through Udemy on desktop, tablet, or mobile.

Who This Course Is For

This course is intended for:

• SQL developers

• Database developers

• Azure SQL developers

• Microsoft Fabric developers

• AI application developers

• Data engineers

• Software engineers

• Database administrators

• Microsoft certification candidates

It is particularly relevant for anyone preparing for DP-800: Developing AI-Enabled Database Solutions and the Microsoft Certified: SQL AI Developer Associate credential.

Recommended Background

Experience with SQL, T-SQL, and relational database development is recommended.

Knowledge of SQL Server, Azure SQL, Microsoft Fabric, GitHub, CI/CD, AI models, embeddings, vector search, and RAG will help with the more advanced questions.

Prepare for the Updated Microsoft DP-800 Exam

This course covers the DP-800 Skills Measured as of October 19, 2026.

The updated exam combines traditional SQL database development with modern AI technologies, including GitHub Copilot, MCP, external models, embeddings, vector indexes, semantic search, hybrid search, and retrieval-augmented generation.

By completing these practice tests, you can review the major DP-800 exam objectives, identify areas for further study, and become more familiar with the technical scenarios covered by the Microsoft Certified: SQL AI Developer Associate certification.