1Z0-1159-26 Agentic AI for Oracle AI Database Professional

About this course

Hi All,Prepare confidently for the 1Z0-1159-26 Agentic AI for Oracle AI Database Professional certification with all latest/updated MCQS covering 2026 pattern.

The exam objectives and their weightings as following.

Objectives% of Exam Explain Oracle AI Vector Search Foundations 8% Apply Vector Distance and Indexing 32% Build Retrieval-Augmented Generation Solutions 24% Design Select AI Agent Solutions1 6% Configure Agentic Interfaces and Tool Access 12% Govern Private Agent Factory Deployments 8%Explain Oracle AI Vector Search Foundations

Explain Oracle AI Vector Search concepts, vector embeddings, and semantic similarity search

Explain vector embedding models, ONNX model import, and in-database vector generation

Apply Vector Distance and Indexing

Apply vector constructor, distance metrics, and exact similarity search to query requirements

Analyze vector index options, memory considerations, and search accuracy trade-offs

Apply approximate and multi-vector similarity search techniques to retrieval scenarios

Build Retrieval-Augmented Generation Solutions

Explain RAG workflow, vector data workflow, and Oracle AI Database support for RAG

Build a RAG flow using chunking, embeddings, vector search, and LLM prompt generation

Use Oracle database packages and services to implement RAG with PL/SQL and external models

Design Select AI Agent Solutions

Explain Select AI Agent framework concepts, execution flow, and core components

Design agent solutions using tools, tasks, agents, agent teams, and built-in integrations

Configure Agentic Interfaces and Tool AccessExplain ADB MCP Server purpose, benefits, and integration with Select

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