Oracle 1Z0-184-25 Online Practice Questions and Exam Preparation

Oracle 1Z0-184-25 Online Questions & Answers

• Question 1:

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

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

• Question 2:

  What is the purpose of the Vector Pool in Oracle Database 23ai?

  A. To manage database partitioning
  B. To store HNSW vector indexes and IVF index metadata
  C. To enable longer SQL execution
  D. To store non-vector data types
  B. To store HNSW vector indexes and IVF index metadata

• Question 3:

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

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

• Question 4:

  You are asked to fetch the top five vectors nearest to a query vector, but only for a specific category of documents. Which query structure should you use?

  A. Use UNION ALL with vector operations
  B. Perform the similarity search without a WHERE clause
  C. Apply relational filters and a similarity search in the query
  D. Use VECTOR_INDEX_HINT and NO WHERE clause
  C. Apply relational filters and a similarity search in the query

• Question 5:

  Which function should you use to determine the storage format of a vector?

  A. VECTOR_DIMENSION_FORMAT
  B. VECTOR_CHUNKS
  C. VECTOR_NORM
  D. VECTOR_EMBEDDING
  A. VECTOR_DIMENSION_FORMAT

• Question 6:

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

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

• Question 7:

  What security enhancement is introduced in Exadata System Software 24ai?

  A. Integration with third-party security tools
  B. Enhanced encryption algorithm for data at rest
  C. SNMP security (Security Network Management Protocol)
  B. Enhanced encryption algorithm for data at rest

• Question 8:

  A database administrator wants to change the VECTOR_MEMORY_SIZE parameter for a pluggable database (PDB) in Oracle Database 23ai. Which SQL command is correct?

  A. ALTER SYSTEM SET VECTOR_MEMORY_SIZE=1G SCOPE=BOTH
  B. ALTER DATABASE SET VECTOR_MEMORY_SIZE=1G SCOPE=VECTOR
  C. ALTER SYSTEM SET VECTOR_MEMORY_SIZE=1G SCOPE=SGA
  D. ALTER SYSTEM RESET VECTOR_MEMORY_SIZE
  A. ALTER SYSTEM SET VECTOR_MEMORY_SIZE=1G SCOPE=BOTH

• Question 9:

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

  A. GENERATE_EMBEDDING
  B. CREATE_VECTOR_EMBEDDING
  C. EMBED_TEXT
  D. VECTOR_EMBEDDING
  D. VECTOR_EMBEDDING

• Question 10:

  Which is a characteristic of an approximate similarity search in Oracle Database 23ai?

  A. It compares every vector in the dataset
  B. It trades off accuracy for faster performance
  C. It always guarantees 100% accuracy
  D. It is slower than exact similarity search
  B. It trades off accuracy for faster performance