DP-800 Developing AI-Enabled Database Solutions Exam Topics and Questions
These Microsoft Developing AI-Enabled Database Solutions (DP-800) exam topics are organized according to official exam domains to help candidates quickly verify coverage and focus on assessment rather than theory. Each domain is paired with topic-wise DP-800 sample questions that reflect how objectives are tested in the actual exam. This structure enables efficient review, targeted self-assessment, and rapid identification of weak areas when preparing for the Microsoft Developing AI-Enabled Database Solutions certification exam.
Let's Practice Free Microsoft DP-800 Questions Aligned with Official Exam Topics
Exam Contains: 3 Topics
Topic Content
Design and develop database solutions by creating and implementing comprehensive database objects including tables with appropriate data types, sizes, columns, indexes, and specialized structures such as in-memory, temporal, external, ledger, and graph tables, along with JSON columns and indexes. Establish database integrity through constraints like PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, and DEFAULT, while implementing SEQUENCES and partitioning strategies for optimal performance. Develop programmability objects including views, scalar and table-valued functions, stored procedures, and triggers to encapsulate business logic and...
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Sample Questions for Topic 1 : Design and develop database solutions
Q1
You are designing a database schema for a social network application that needs to represent complex relationships between users (followers, friends, connections). You also need to query paths between users and find mutual connections efficiently. Which specialized table structure combined with which query technique would be most suitable?
Topic Content
Secure, Optimize, and Deploy Database Solutions
Implement data security and compliance by designing and deploying comprehensive encryption strategies including Always Encrypted and column-level encryption, establishing Dynamic Data Masking to protect sensitive information, configuring Row-Level Security RLS to control data access at granular levels, and managing object-level permissions for database resources. Enhance security further by implementing passwordless database access mechanisms, enabling auditing for compliance tracking, securing model endpoints through Managed Identity authentication, and protecting GraphQL, REST, and MCP endpoints against unauthorized access....
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Topic Content
Implement AI capabilities in database solutions by designing and implementing models and embeddings through evaluating external models including multimodal and multilanguage options, creating and managing external models, and choosing appropriate embedding maintenance methods such as table triggers, Change Tracking, Azure Functions, Azure Logic Apps, CDC, CES, and Microsoft Foundry. Identify relevant columns for embeddings, design and implement effective chunks, and generate embeddings to support AI functionality. Design and implement intelligent search capabilities by selecting from full-text, semantic vector, and hybrid...
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