- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Code: DP-800
- Certification Level: Associate
- Exam Duration: 100 minutes (Additional 30-minute time extension available for non-English-speaking countries)
- Passing Score: 700 out of 1000
- Unscored Content: The exam may include unscored questions for research purposes. These questions do not affect your score and are not identified.
Exam Details
- Question Types: Multiple choice, case studies, scenario-based questions
- Number of Questions: Typically 40–60 questions (varies by exam delivery)
- Hands-On Questions: Some questions may involve analyzing database schemas, implementing vector indexes, integrating AI services, or troubleshooting AI-enabled data pipelines and retrieval systems.
Exam Policies
- Offline Proctoring: Must be rescheduled or canceled at least 24 hours before the scheduled exam time.
- Online Proctoring: Must be rescheduled or canceled at least 24 hours before the scheduled exam time.
- Waiting Period: A minimum 24-hour wait is typically required after a failed attempt before retaking the exam.
- Retake Fee: Full exam fee must be paid for each retake.
Certification Validity and Renewal
- Validity: 1 year
- Renewal Options: Renew by completing a free online renewal assessment on Microsoft Learn before the certification expiration date.
Exam Fee
Base Fee:- India – 4865 INR
- Europe – 126 EUR
- Middle East – 83 USD
- USA – 165 USD (excluding taxes; fees may vary by country)
- Taxes: Country-specific GST/VAT may apply.
- Example: In India, an 18% tax applies, making the total 5740 INR (4865 INR + 857 INR tax).
Prerequisites
There are no formal prerequisites for taking the DP-800 exam. However, it is recommended to have:- Experience working with databases and data platforms
- Familiarity with Azure data services and AI services
- Knowledge of SQL and application development
- Understanding of AI concepts such as embeddings, vector search, and semantic retrieval
Exam Topics
- Design AI-Enabled Data Architectures: Integrating AI capabilities into database solutions and data applications
- Implement Vector and Semantic Search: Configure vector indexes and embedding storage for AI-driven retrieval
- Develop AI-Enabled Data Pipelines: Integrate AI services with database workflows and data processing pipelines
- Secure and Manage AI Data Solutions: Implement authentication, authorization, and data governance
- Monitor and Optimize AI Data Workloads: Performance tuning, monitoring query efficiency, and optimizing vector searches
Intended Audience
The DP-800 certification is designed for professionals building intelligent data-driven applications, including roles such as:- Database Developer
- AI Application Developer
- Data Engineer
- Cloud Application Developer
Career Impact
Jobs You Can Get:
- AI Database Developer, Data Engineer, AI Application Developer, Cloud Data Developer
Average Salary:
- Varies by country —U.S.: $110,000–$145,000 USD
- India: ₹9,00,000–₹22,00,000 INR
- United Kingdom: £50,000–£85,000 GBP
- UAE: 160,000–300,000 AED per year.
Why It’s Valuable:
- Demonstrates expertise in building AI-enabled applications using modern database technologies, vector search capabilities, and cloud-based data platforms used in intelligent enterprise solutions.
Exam Mode
The exam is proctored and can be taken either:- In-person at authorized Pearson VUE test centres
- Online through Pearson VUE’s online proctoring system
Exam Booking Link
- Book your DP-800 Exam via Pearson VUE — Click here https://learn.microsoft.com/en-us/credentials/certifications/
Once you pass the exam
- Download your certification from the Microsoft Certification Dashboard
- Processing Time: Certificate available within 24 hours after passing the exam
- Log in to your Microsoft Learn profile
- Navigate to the Certifications section
- Download your certificate and certification badge
Offers
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Top Reasons to Choose
Developing AI-Enabled Database Solutions
AI-Driven Data Applications Are Rapidly Growing
Organizations increasingly integrate AI capabilities such as vector search, embeddings, and semantic retrieval directly into databases. This certification validates the skills required to build modern AI-powered data applications.
Practical Skills for AI-Enabled Development
The exam emphasizes implementing intelligent database features including AI integrations, vector indexing, and optimized data pipelines, helping professionals build scalable applications that combine traditional databases with modern artificial intelligence capabilities.
Strong Career Opportunities in AI Data Engineering
As enterprises adopt generative AI and intelligent data systems, professionals capable of integrating AI features into data platforms are highly valued across software development, cloud engineering, and data engineering roles.
Top Certifications
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FAQ
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Who should take the Developing AI-Enabled Database Solutions (DP-800) exam?
The DP-800 exam is designed for professionals who build intelligent data applications using modern database platforms and AI services. Typical candidates include database developers, AI application developers, and data engineers who integrate vector search, embeddings, and AI-driven retrieval systems into scalable cloud-based data solutions.
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How difficult is the DP-800 exam?
The DP-800 exam is considered moderately challenging because it combines database development concepts with artificial intelligence integration. Candidates must understand SQL development, vector search implementation, AI services integration, and performance optimization. Hands-on experience building AI-enabled data applications significantly improves the likelihood of passing the exam successfully.
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Why does Microsoft offer the Developing AI-Enabled Database Solutions certification?
Microsoft offers this certification to validate professionals who can integrate artificial intelligence features into modern database systems. As organizations build AI-powered applications and intelligent search systems, companies require developers who can design scalable data architectures that support embeddings, vector search, and AI-driven insights.
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What tools and resources can be used to prepare for the DP-800 exam?
Candidates can prepare using Microsoft Learn learning paths, Azure SQL and Azure AI documentation, and hands-on practice with vector search implementations. Additional preparation resources include building AI-enabled applications, experimenting with embeddings and semantic search, and practicing database performance optimization in Azure environments.
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Is the Developing AI-Enabled Database Solutions certification valuable in 2026?
Yes, the DP-800 certification remains valuable in 2026 as organizations increasingly build AI-enabled applications powered by intelligent databases. Technologies such as vector search, semantic retrieval, and generative AI integrations are becoming essential, making professionals with these database and AI integration skills highly востребован across industries.
