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Oracle 1z0-1157-26 Exam Syllabus Topics:

Oracle Agentic AI Foundations Associate Sample Questions:

Question 1

What is the high-level workflow for Oracle AI Vector Search?

A. Generate embeddings - > Store vectors - > Create indexes - > Search and query - > Feed into LLM
B. Generate embeddings - > Store vectors - > Search and query - > Feed into LLM
C. Create indexes - > Search and query - > Feed into LLM - > Store vectors
D. Create indexes - > Generate embeddings - > Store vectors - > Feed into LLM - > Search and query

Question 2

Which OCI capability is required for serving fine-tuned or imported custom models?

A. Free Tier compute instances
B. OCI Object Storage buckets
C. Shared On-Demand inference
D. Dedicated AI Clusters

Question 3

What is Oracle AI Database Private Agent Factory?

A. A managed orchestration layer for deploying to Kubernetes
B. A no-code platform for building agents
C. A backup utility for embeddings
D. A hardware appliance for training models on-premises

Question 4

What is the purpose of the Vector Stores API?

A. Encrypting Object Storage buckets.
B. Translating text between languages.
C. Indexing and retrieving data by meaning.
D. Streaming video into AI agents.

Question 5

What is an embedding in a semantic search workflow?

A. A database trigger that fires before INSERT.
B. A compressed video file format used by streaming services.
C. A vector produced by a neural network.
D. A type of SQL JOIN designed for nested tables.

Solutions: