1Z0-184-25 試験問題を無料オンラインアクセス

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?

• A.Trains a separate LLM on the database and uses it to answer, ignoring the general LLM
• B.Clusters similar text chunks and randomly selects one from the most relevant cluster
• C.Encodes the question and database chunks into vectors, finds the most similar using cosine similarity, and includes them in the LLM prompt
• D.Converts the question to keywords, searches for matches, and inserts the text into the response

If a query vector uses a different distance metric than the one used to create the index, whathappens?

• A.An exact match search is triggered
• B.The index automatically updates
• C.The query fails
• D.A warning is logged, but the query executes

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

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

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

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

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.Multivector similarity search with approximate fetching and target accuracy
• D.A combination of relational filters and similarity search