Oracle AI Vector Search Professional 1z0-184-25 Question # 5 Topic 1 Discussion
1z0-184-25 Exam Topic 1 Question 5 Discussion:
Question #: 5
Topic #: 1
Which statement best describes the capability of Oracle Data Pump for handling vector data in thecontext of vector search applications?
A.
Data Pump only exports and imports vector data if the vector embeddings are stored as BLOB (Binary Large Object) data types in the database
B.
Data Pump treats vector embeddings as regular text strings, which can lead to data corruption or loss of precision when transferring vector data for vector search
C.
Data Pump provides native support for exporting and importing tables containing vector data types, facilitating the transfer of vector data for vector search applications
D.
Because of the complexity of vector data, Data Pump requires a specialized plug-in to handle the export and import operations involving vector data types
Oracle Data Pump in 23ai natively supports the VECTOR data type (C), allowing export and import of tables with vector columns without conversion or plug-ins. This facilitates vector search application migrations, preserving dimensional and format integrity (e.g., FLOAT32). BLOB storage (A) isn’t required; VECTOR is a distinct type. Data Pump doesn’t treat vectors as text (B), avoiding corruption; it handles them as structured arrays. No specialized plug-in (D) is needed; native support is built-in. Oracle’s Data Pump documentation confirms seamless handling of VECTOR data.
[Reference:Oracle Database 23ai Utilities Guide, Section on Data Pump and VECTOR., , ]
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