최신 1Z0-184-25 무료덤프 - Oracle AI Vector Search Professional

A. Relational filtering combined with an exact search

B. Approximate similarity search with a low target accuracy setting

C. Exact similarity search using flat search

D. Exact similarity search with a high target accuracy setting

A. Approximate similarity search with the VECTOR_DISTANCE function

B. Multivector similarity search with approximate fetching and target accuracy

C. Exact similarity search with Euclidean distance

D. A combination of relational filters and similarity search

A. A new user account with elevated privileges

B. A dedicated OCI compartment

C. A secure VPN tunnel

D. An AI profile for OCI Generative AI

A. Load ONNX Model, Vectorize Question, Load Document, Split Text into Chunks, Create Embeddings, Perform Vector Search, Generate Output

B. Vectorize Question, Load ONNX Model, Load Document, Split Text into Chunks, Create Embeddings, Perform Vector Search, Generate Output

C. Load Document, Load ONNX Model, Split Text into Chunks, Create Embeddings, VectorizeQuestion, Perform Vector Search, Generate Output

D. Load Document, Split Text into Chunks, Load ONNX Model, Create Embeddings, Vectorize Question, Perform Vector Search, Generate Output

A. Creating a new table using CTAS (CREATE TABLE AS SELECT) that includes the VECTOR column from the original table

B. Dropping an existing VECTOR column from the table

C. Adding a new VECTOR column to the table

D. Modifying the data type of an existing VECTOR column to a non-VECTOR type

A. DBMS_VECTOR.CONVERT_TO_TEXT

B. DBMS_VECTOR_CHAIN.UTL_TO_TEXT

C. DBMS_VECTOR.TEXT_TO_PLAIN

D. DBMS_VECTOR_CHAIN.UTL_TO_CHUNKS