1Z0-184-25 무료 덤프문제 온라인 액세스

In the following Python code, what is the significance of prepending the source filename to each text chunk before storing it in the vector database?
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docs = [{"text": filename + "|" + section, "path": filename} for filename, sections in faqs.items() for section in sections]
# Sample the resulting data
docs[:2]

• A.It improves the accuracy of the LLM by providing additional training data
• B.It preserves context and aids in the retrieval process by associating each vectorized chunk with its original source file
• C.It speeds up the vectorization process by providing a unique identifier for each chunk
• D.It helps differentiate between chunks from different files but has no impact on vectorization

What is the significance of splitting text into chunks in the process of loading data into Oracle AI Vector Search?

• A.To minimize token truncation as each vector embedding model has its own maximum token limit
• B.To facilitate parallel processing of the data during vectorization
• C.To reduce the computational burden on the embedding model

Which operation is NOT permitted on tables containing VECTOR columns?

• A.JOIN ON VECTOR columns
• B.UPDATE
• C.DELETE
• D.SELECT

What is the advantage of using Euclidean Squared Distance rather than Euclidean Distance in similarity search queries?

• A.It guarantees higher accuracy than Euclidean Distance
• B.It is the default distance metric for Oracle AI Vector Search
• C.It supports hierarchical partitioning of vectors
• D.It is simpler and faster because it avoids square-root calculations

What is the function of the COSINE parameter in the SQL query used to retrieve similar vectors?
topk = 3
sql = f"""select payload, vector_distance(vector, :vector, COSINE) as score from {table_name} order by score fetch approximate {topk} rows only"""

• A.It converts the vectors to a format compatible with the SQL database
• B.It specifies the type of vector encoding used in the database
• C.It filters out vectors with a cosine similarity below a certain threshold
• D.It indicates that the cosine distance metric should be used to measure similarity between vectors