Exam DP-800 · SQL AI Developer Associate

20-Hour 80/20 Study Plan

10 × 2-hour sessions · Pareto-focused · 15-min review per session

10
Sessions
20h
Total Time
105m
Core / Session
15m
Review / Session
DOMAINS: D1 · Design & Develop 35–40% D2 · Secure, Optimize & Deploy 35–40% D3 · AI Capabilities 25–30%
📅 Sessions
🎯 80/20 Map
Progress
💡
The 20% of topics that drive 80% of marks on DP-800 are the ones that sit at the intersection of multiple exam domains. These are your highest-leverage areas — master these first.

🗄️ Design & Develop

35–40% of exam
★★★ Vector data type + JSON columns
★★★ CTEs + Window functions
★★★ Stored procedures + triggers
★★ Partitioning + columnstore indexes
★★ Graph queries + MATCH operator
★★ Temporal & in-memory tables
Sequences, constraints, TVFs

🔒 Secure, Optimize & Deploy

35–40% of exam
★★★ Row-Level Security (RLS)
★★★ Dynamic Data Masking
★★★ SQL Database Projects + CI/CD
★★★ Data API Builder (DAB)
★★ Query Store + execution plans
★★ Transaction isolation levels
Always Encrypted, auditing

🤖 AI Capabilities

25–30% of exam
★★★ Vector search (ANN vs ENN)
★★★ Hybrid search + RRF
★★★ RAG with sp_invoke_external_rest_endpoint
★★ Embedding generation + maintenance
★★ External models + VECTOR_DISTANCE
★★ Full-text vs semantic vs hybrid
Multimodal models, chunking strategy

🏆 The 20% High-Yield Topics — Memorise These Cold

Cross-Domain Power Topics

VECTOR data type & VECTOR_DISTANCE()

Appears in Design, AI, and Security domains

Data API Builder (DAB) config files

REST + GraphQL + security in one topic

SQL Database Projects (SDK-style)

CI/CD, schema drift, branching policies

sp_invoke_external_rest_endpoint

Core RAG primitive — used in 3+ question types

Scenario Speed-Read Patterns

"Query is slow on large table"

→ Columnstore index or partitioning

"User sees others' data"

→ Row-Level Security (RLS)

"Find semantically similar docs"

→ Hybrid search + RRF ranking

"Real-time AI answer from DB"

→ RAG + sp_invoke_external_rest_endpoint

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