Oracle 1Z0-184-25 Exam Dumps

What happens when querying with an IVF index if you increase the value of the NEIGHBOR_PARTITIONS probes parameter?

• The number of centroids decreases
• Accuracy decreases
• Index creation time is reduced
• More partitions are probed, improving accuracy, but also increasing query latency

Which Oracle Cloud Infrastructure (OCI) service is directly integrated with Select AI?

• OCI Language
• OCI Generative AI
• OCI Vision
• OCI Data Science

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

• 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
• It prioritizes real-time data extraction and summarization from various sources to ensure the LLM always has the most up-to-date information
• 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
• It leverages existing database security and access controls, thereby enabling secure and controlled access to both the database content and the LLM

Which SQL statement correctly adds a VECTOR column named "v" with 4 dimensions and FLOAT32 format to an existing table named "my_table"?

• ALTER TABLE my_table MODIFY (v VECTOR(4, FLOAT32))
• ALTER TABLE my_table ADD (v VECTOR(4, FLOAT32))
• UPDATE my_table SET v = VECTOR(4, FLOAT32)
• ALTER TABLE my_table ADD v VECTOR(4, FLOAT32)

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

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

Why would you choose to NOT define a specific size for the VECTOR column during development?

• It impacts the accuracy of similarity searches
• It restricts the database to a single embedding model
• It limits the length of text that can be vectorized
• Different external embedding models produce vectors with varying dimensions and data types

You are storing 1,000 embeddings in a VECTOR column, each with 256 dimensions using FLOAT32. What is the approximate size of the data on disk?

• 1 MB
• 4 MB
• 256 KB
• 1 GB

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

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

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

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

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

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