1z0-1195-26 試験問題を無料オンラインアクセス

A company wants a GenAI assistant that answers policy questions by grounding responses in its internal documents.
Which use of AI Vector Search best supports this design?

• A.Return unfiltered database patches as the answer context.
• B.Use only keyword matching because enterprise data must not use embeddings.
• C.Retrieve semantically similar document chunks to provide context for generation.
• D.Replace all policy documents with graph edge IDs.

In a RAG-style application, where does similarity search apply?

• A.It retrieves the most relevant stored content for the user's question
• B.It creates the original source documents from the generated answer
• C.It replaces the generation step by returning only raw vector values
• D.It evaluates user authentication rules before retrieving context

What is OSON in Oracle AI Database JSON support?

• A.An optimized binary format for JSON storage
• B.A SQL worksheet page in Database Actions
• C.A maintenance schedule for JSON collections
• D.A visualization tool for graph queries

A team must deploy an Oracle Autonomous AI Database Serverless instance so that database access is available only inside a private OCI network.
Which access setting should they use?

• A.Public endpoint access limited by an access control list
• B.Secure access from allowed IPs and VCNs only
• C.Private endpoint access only
• D.Secure access from everywhere

A development team needs an Autonomous AI Database deployment that starts small, minimizes setup effort, and can scale easily. Which deployment choice fits this requirement?

• A.Serverless, because it is designed for simple deployment and elastic scaling
• B.A fixed-capacity deployment option, because it maintains consistent performance without scaling
• C.Dedicated, because it requires capacity to be provisioned and scaled by administrators
• D.Dedicated, because it allows full control over infrastructure configuration and capacity planning