Certification Overview
To earn the SQL AI Developer Associate certification, candidates must pass one required exam.
📌 Important
- This certification is currently listed by Microsoft as Beta, which means exam content and certification details may evolve before general availability.
- Beta exams typically do not release scores immediately; results are provided after the beta evaluation period.
- There are no mandatory prerequisite exams or certifications required.
Track Details & Exam Requirements
🔹 Associate Exam (Required)
DP-3010: Developing SQL AI Solutions
This exam measures the ability to develop applications that integrate SQL databases with AI capabilities to support modern intelligent data solutions.
Exam Details
- Exam Code: DP-3010
- Exam Name: Developing SQL AI Solutions
- Exam Duration: ~100–120 minutes
- Passing Score: 700 / 1000 (expected Microsoft standard)
- Exam Type: Microsoft role-based certification exam
- Delivery: Pearson VUE (online proctoring or test center)
- Languages: English (beta release)
- Certification Level: Associate
- Current Status: Beta
What This Certification Validates
With the SQL AI Developer Associate certification, you demonstrate the ability to:
- Develop applications that integrate SQL databases and AI services
- Implement intelligent query solutions and data processing workflows
- Integrate SQL data with machine learning and AI models
- Build AI-driven data applications using Microsoft data platforms
- Optimize database performance for AI workloads
- Manage secure and scalable AI-enabled data architectures
These skills help organizations build intelligent data platforms that combine database development and artificial intelligence capabilities.
Exam Skills Measured
The DP-3010 exam evaluates several major SQL and AI development domains.
1. Develop AI-Enabled SQL Applications (25–30%)
Candidates must understand how to:
- Build applications that integrate SQL databases with AI services
- Design intelligent data workflows
- Implement AI-driven query and data analysis capabilities
2. Manage Data for AI Workloads (20–25%)
Candidates should be able to:
- Prepare and manage structured data for AI applications
- Implement data pipelines for AI models
- Optimize SQL databases for AI workloads
3. Implement AI Models with SQL Data (25–30%)
This domain focuses on:
- Integrating machine learning models with SQL data platforms
- Implementing model inference workflows
- Managing AI model deployment and integration
4. Monitor and Optimize AI Data Solutions (15–20%)
Candidates must understand how to:
- Monitor performance of AI-driven database applications
- Troubleshoot data pipelines and AI integrations
- Optimize query performance and AI workloads
Validity & Recertification
Microsoft role-based certifications typically expire annually.
Certification renewal requires:
- Completing a free renewal assessment on Microsoft Learn before the certification expiration date.
Recommended Experience
Although there are no formal prerequisites, Microsoft recommends candidates have:
- Experience with SQL database development
- Knowledge of AI and machine learning concepts
- Familiarity with Microsoft data platforms and Azure services
- Experience developing data-driven applications
This certification is considered an associate-level certification combining SQL development and AI integration skills.
Who Should Pursue This Certification?
This certification is ideal for professionals such as:
- SQL Developers working with AI applications
- Data Engineers building intelligent data pipelines
- AI Application Developers
- Cloud Data Developers
- Developers integrating AI with enterprise data platforms
Career Benefits
- Demonstrates expertise in AI-enabled database development
- Validates skills in SQL development and AI integration
- Supports careers in AI-driven data engineering and intelligent applications
- Recognized Microsoft certification for modern data and AI developers
Summary
The Microsoft Certified: SQL AI Developer Associate (Beta) certification validates a candidate’s ability to build AI-powered applications using SQL databases and Microsoft data platforms.
Key points
- Requires one exam: DP-3010
- No prerequisite certification required
- Focuses on SQL development, AI integration, and intelligent data solutions
- Currently in beta status.
