Online Access Free 1z0-1195-26 Practice Test

A data analyst wants to discover data, load it into the platform, and prepare it for later use without leaving the built-in tools. Which workspace fits this task?

• A.VECTOR_DISTANCE function only
• B.Data Studio
• C.OCI Vault
• D.Property Graph View definition

A business wants one data platform where semantic similarity, relational consistency, and SQL-based filtering all work together.
Which statement aligns with this design goal?

• A.Vector search requires data to be modeled as graph paths before SQL predicates are applied.
• B.A converged database can keep data consistent while combining vector search with SQL.
• C.Semantic search is usually handled after relational filters are removed from the query flow.
• D.SQL filtering is handled in a separate application step after vector search returns results.

A team needs faster similarity search at scale and accepts approximate top-K results. Which feature should they use?

• A.A vector index with approximate search
• B.A JSON duality view with update restrictions
• C.A standard B-tree index optimized for exact match and range queries
• D.A graph view with ONE ROW PER STEP

Which example is a common AI use case?

• A.Manually assigning a subnet CIDR during database provisioning
• B.Listing database tables alphabetically in a schema browser
• C.Rotating an encryption key on a fixed compliance schedule
• D.Detecting fraudulent transactions from behavior patterns

A recruiting application must find the top job postings that semantically match a candidate's resume, but only in the candidate's city. How should the application meet this requirement?

• A.Replace job descriptions with graph edge labels only
• B.Use Early maintenance so results are ranked sooner
• C.Use one SQL query that combines relational filters with vector distance ordering
• D.Export all job postings to a separate vector platform and remove city filtering