Home └AI-Enabled Odoo 19: Infrastructure, PostgreSQL 17 & Intelligent Automation └Final Quiz

AI-Enabled Odoo 19: Infrastructure, PostgreSQL 17 & Intelligent Automation

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1. Q1. Which PostgreSQL extension enables semantic similarity search in Odoo AI features?
pg_trgm hstore vector (pgvector) uuid-ossp
2. Q2. Why should AI vector indexes be carefully monitored in production?
They increase UI rendering time They consume significant memory and disk resources They automatically rebuild daily They disable PostgreSQL autovacuum
3. Q3. What happens if an AI agent in Odoo has no Topics assigned?
The agent fails to start The agent can respond but cannot perform actions The agent gains unrestricted access The agent deletes its sources
4. Q4. Which PostgreSQL configuration parameter most impacts memory usage for AI queries?
shared_buffers work_mem effective_cache_size wal_buffers
5. Q5. What is the safest production strategy for managing AI API keys in Odoo?
Hardcode them in source code Store them in Git repositories Use one key across all environments Use environment-specific keys stored securely and rotated regularly
6. Q6. Why is PostgreSQL 17 recommended over older versions for Odoo 19?
Smaller installation size Better compatibility with Python Improved parallelism and AI-ready extensions Mandatory requirement by Ubuntu
7. Q7. Which PostgreSQL role permission is critical for Odoo to function correctly?
REPLICATION LOGIN CREATEDB BYPASSRLS
8. Q8. What is the primary purpose of the pg_trgm extension in Odoo?
Vector embeddings Fuzzy text matching and autocomplete search JSON document storage Query execution monitoring
9. Q9. Which component defines the overall role and behavior of an AI agent in Odoo?
Topics Tools System Prompt Sources
10. Q10. Which Odoo application is required to generate AI-based webpages?
AI App Studio Website Knowledge