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Oracle Updated 1z0-184-25 Exam Questions and Answers by cecelia

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Oracle 1z0-184-25 Exam Overview :

Exam Name: Oracle AI Vector Search Professional
Exam Code: 1z0-184-25 Dumps
Vendor: Oracle Certification: Oracle Cloud Infrastructure
Questions: 60 Q&A's Shared By: cecelia
Question 12

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?

bash

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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]

Options:

A.

It preserves context and aids in the retrieval process by associating each vectorized chunk with its original source file

B.

It helps differentiate between chunks from different files but has no impact on vectorization

C.

It speeds up the vectorization process by providing a unique identifier for each chunk

D.

It improves the accuracy of the LLM by providing additional training data

Discussion
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Question 13

Which of the following actions will result in an error when using VECTOR_DIMENSION_COUNT() in Oracle Database 23ai?

Options:

A.

Providing a vector with a dimensionality that exceeds the specified dimension count

B.

Using a vector with a data type that is not supported by the function

C.

Providing a vector with duplicate values for its components

D.

Calling the function on a vector that has been created with TO_VECTOR()

Discussion
Question 14

How does an application use vector similarity search to retrieve relevant information from a database, and how is this information then integrated into the generation process?

Options:

A.

Encodes the question and database chunks into vectors, finds the most similar using cosine similarity, and includes them in the LLM prompt

B.

Trains a separate LLM on the database and uses it to answer, ignoring the general LLM

C.

Converts the question to keywords, searches for matches, and inserts the text into the response

D.

Clusters similar text chunks and randomly selects one from the most relevant cluster

Discussion
Question 15

When generating vector embeddings for a new dataset outside of Oracle Database 23ai, which factor is crucial to ensure meaningful similarity search results?

Options:

A.

The choice of programming language used to process the dataset (e.g., Python, Java)

B.

The physical location where the vector embeddings are stored

C.

The storage format of the new dataset (e.g., CSV, JSON)

D.

The same vector embedding model must be used for vectorizing the data and creating a query vector

Discussion
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