Free Oracle Database AI Vector Search Professional Exam 1Z0-184-25 Exam Practice Test

What is the purpose of the VECTOR_DISTANCE function in Oracle Database 23ai similarity search?

• To fetch rows that match exact vector embeddings
• To create vector indexes for efficient searches
• To group vectors by their exact scores
• To calculate the distance between vectors using a specified metric

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

• Providing a vector with a dimensionality that exceeds the specified dimension count
• Using a vector with a data type that is not supported by the function
• Providing a vector with duplicate values for its components
• Calling the function on a vector that has been created with TO_VECTOR()

What is the primary function of AI Smart Scan in Exadata System Software 24ai?

• To provide real-time monitoring and diagnostics for AI applications
• To accelerate AI workloads by leveraging Exadata RDMA Memory (XRMEM), Exadata Smart Cache, and on-storage processing
• To automatically optimize database queries for improved performance

Which SQL function is used to create a vector embedding for a given text string in Oracle Database 23ai?

• GENERATE_EMBEDDING
• CREATE_VECTOR_EMBEDDING
• EMBED_TEXT
• VECTOR_EMBEDDING

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

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

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

• EFCONSTRUCTION
• VECTOR_MEMORY_SIZE
• NEIGHBOURS
• TARGET_ACCURACY

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

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

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

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

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

What is the advantage of using Euclidean Squared Distance rather than Euclidean Distance in similarity search queries?

• It is the default distance metric for Oracle AI Vector Search
• It supports hierarchical partitioning of vectors
• It is simpler and faster because it avoids square-root calculations
• It guarantees higher accuracy than Euclidean Distance