Online Access Free 1Z0-184-25 Practice Test

What is the primary difference between the HNSW and IVF vector indexes in Oracle Database 23ai?

• A.HNSW guarantees accuracy, whereas IVF sacrifices performance for accuracy
• B.HNSW uses an in-memory neighbor graph for faster approximate searches, whereas IVF uses the buffer cache with partitions
• C.Both operate identically but differ in memory usage
• D.HNSW is partition-based, whereas IVF uses neighbor graphs for indexing

What are the key advantages and considerations of using Retrieval Augmented Generation (RAG) in the context of Oracle AI Vector Search?

• A.It prioritizes real-time data extraction and summarization from various sources to ensure the LLM always has the most up-to-date information
• B.It leverages existing database security and access controls, thereby enabling secure and controlled access to both the database content and the LLM
• C.It focuses on training specialized LLMs within the database environment for specific tasks, offering greater control over model behavior and data privacy but potentially requiring more development effort
• D.It excels at optimizing the performance and efficiency of LLM inference through advanced caching and precomputation techniques, leading to faster response times but potentially increasing storage requirements

What is a key advantage of using GoldenGate 23ai for managing and distributing vector data for AI applications?

• A.Real-time vector data updates across locations
• B.Built-in version control for vector data
• C.Specialized vector embedding compression
• D.Automatic translation of vector embeddings between formats

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]

• A.It improves the accuracy of the LLM by providing additional training data
• 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 preserves context and aids in the retrieval process by associating each vectorized chunk with its original source file

Which parameter is used to define the number of closest vector candidates considered during HNSW index creation?

• A.EFCONSTRUCTION
• B.TARGET_ACCURACY
• C.VECTOR_MEMORY_SIZE
• D.NEIGHBOURS