1Z0-184-25 Question 164
Single answerYou are the lead developer for a SaaS application backed by Oracle Autonomous Database. Your business users want to leverage the new 'Use Select AI' feature to run queries in plain English (e.g., �Show me all items that are out of stock in Region 2� ). However, they find that domain-specific terms (like specialized product categories or internal codes) are not recognized, causing incomplete query results. Which action should you take to ensure 'Use Select AI' can properly interpret these custom domain terms?
- A
Use the domain dictionary feature within Autonomous Database to define custom synonyms for specialized terminology.
- B
Create a manual index on the relevant columns and store all domain-specific synonyms in a separate lookup table.
- C
Group your domain objects in a dedicated partition for each specialized term to automatically handle custom terminology.
- D
Grant the SELECT ANY DICTIONARY privilege to all users, allowing the system to discover your specialized business terms.
Show answer and explanation
Correct answer: A
Explanation
To ensure 'Use Select AI' interprets domain-specific terminology correctly, you must provide the AI engine with explicit mappings (synonyms or a domain dictionary) so that it can recognize different terms referring to the same concept. Merely indexing or granting broad privileges will not train the AI to link specialized phrases to the correct data fields. For further details, consult Oracle� documentation on configuring natural language queries for Autonomous Database.
- A. Correct.
Option 1 (Correct): Using the domain dictionary feature (or similar synonym-configuration mechanisms in Autonomous Database) is the proper way to help the AI engine understand custom or specialized terminology. By defining synonyms, you teach 'Use Select AI' to associate different words or phrases with the same concept. This directly addresses the issue of unrecognized domain-specific terms.
- B. Incorrect.
Option 2 (Incorrect): While indexing can improve query performance, it does not train the natural language engine to interpret domain-specific vocabulary. A separate lookup table might store synonyms, but this alone does not integrate with 'Use Select AI' to parse natural language automatically.
- C. Incorrect.
Option 3 (Incorrect): Partitioning is a data organization strategy that can optimize queries by dividing large tables, not a direct method to train the AI to recognize specialized terms. Although useful for performance, it does not solve the natural language understanding gap.
- D. Incorrect.
Option 4 (Incorrect): Granting SELECT ANY DICTIONARY is a broad and potentially risky privilege that does not solve the issue of domain synonyms. This approach also violates the principle of least privilege and does not automatically make the AI engine learn new domain terms.