Oracle Agentic AI Foundations Associate : 1z0-1157-26

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Oracle 1z0-1157-26 Exam Syllabus Topics:

Oracle Agentic AI Foundations Associate Sample Questions:

Question #1
Compared with a standalone LLM call, an AI agent architecture commonly adds which capabilities?

A. Larger transformer layers and faster training
B. Replacement of transformer-based inference entirely
C. Tool access, memory handling, and iterative execution
D. Native GUI rendering and visualization support

Question #2
What is the purpose of OCI Enterprise AI Governance?

A. Monitoring model latency and optimizing inference throughput.
B. Managing model versions and rolling back failed deployments.
C. Replacing the AI agent runtime layer.
D. Applying guardrails, identity controls, and network security controls to AI workloads.

Question #3
Why is chunking necessary before generating embeddings for large documents?

A. To convert text into SQL-compliant rows.
B. To automatically encrypt content before indexing.
C. To overcome token limits for large documents.
D. To remove semantic meaning from the document.

Question #4
Which statement describes an LLM-based AI agent?

A. A specialized transformer architecture.
B. A chatbot interface with additional visual components.
C. A newly trained standalone model type.
D. A model-based system that uses tools and orchestration.

Question #5
What is the purpose of the Vector Stores API?

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

Solutions: