Online Access Free 1Z0-184-25 Practice Test

What is the primary function of an embedding model in the context of vector search?

• A.To execute similarity search operations within a database
• B.To define the schema for a vector database
• C.To store vectors in a structured format for efficient retrieval
• D.To transform text or data into numerical vector representations

What is the primary purpose of a similarity search in Oracle Database 23ai?

• A.To find exact matches in BLOB data
• B.Optimize relational database operations to compute distances between all data points in a database
• C.To retrieve the most semantically similar entries using distance metrics between different vectors
• D.To group vectors by their exact scores

A machine learning team is using IVF indexes in Oracle Database 23ai to find similar images in a large dataset. During testing, they observe that the search results are often incomplete, missing relevant images. They suspect the issue lies in the number of partitions probed. How should they improve the search accuracy?

• A.Increase the VECTOR_MEMORY_SIZE initialization parameter
• B.Re-create the index with a higher EFCONSTRUCTION value
• C.Add the TARGET_ACCURACY clause to the query with a higher value for the accuracy
• D.Change the index type to HNSW for better accuracy

What is created to facilitate the use of OCI Generative AI with Autonomous Database?

• A.A dedicated OCI compartment
• B.A secure VPN tunnel
• C.A new user account with elevated privileges
• D.An AI profile for OCI Generative AI

An application needs to fetch the top-3 matching sentences from a dataset of books while ensuring a balance between speed and accuracy. Which query structure should you use?

• A.Exact similarity search with Euclidean distance
• B.Approximate similarity search with the VECTOR_DISTANCE function
• C.A combination of relational filters and similarity search
• D.Multivector similarity search with approximate fetching and target accuracy