Oracle AI Autonomous Database 2025 Professional Advanced Practice Exam: Hard Questions 2025

A SaaS provider must onboard hundreds of tenants to Autonomous Database with strict isolation. Tenants require different patch windows for application certification, but the provider wants minimal operational overhead and consistent performance SLAs. Which architecture best meets these goals while aligning with Autonomous Database operational model?

You are troubleshooting unpredictable query latency in an Autonomous Data Warehouse used for mixed workloads (BI dashboards plus ad-hoc exploration). The service uses autoscaling. During peak hours, some ad-hoc queries become extremely fast after a few minutes, while others remain slow even though CPU utilization appears moderate. Which action is most likely to produce consistent performance without over-provisioning?

A team implemented vector search for an internal knowledge base using embeddings stored in Autonomous Database. They observe that top-K results are semantically relevant but occasionally include stale content that should have been excluded by row-level security (RLS) policies. The SQL includes both a vector similarity predicate and a security predicate. What is the most likely cause and best remediation?

An application uses Autonomous Transaction Processing with a connection pool. After planned maintenance, users report intermittent ORA errors and duplicate transactions when retries occur. The app uses a generic retry wrapper without understanding commit outcomes. Which change best prevents duplicates while preserving availability during transient failures?

You must design a secure architecture where an Autonomous Database in a private subnet is accessed by an OCI Functions-based retrieval-augmented generation (RAG) service. Requirements: no public access to the database, least-privilege credentials, and ability to rotate secrets without redeploying code. Which design best fits?

A data science team stores multiple embedding models’ vectors (different dimensions) for the same documents in one table to support A/B testing. They want one SQL query that can switch between models at runtime and still use vector indexing efficiently. Which table/index design is most appropriate?

A regulatory requirement mandates that all database changes (DDL and DML) for certain schemas must be auditable with tamper-evidence, and audit data must be queryable for investigations while minimizing performance impact. What is the best approach in Autonomous Database?

An Autonomous Database ingest pipeline loads data continuously. A downstream analytics job uses materialized views (MVs). Recently, MV refreshes intermittently fail or run much longer after a schema change that added a column with a default value to a large fact table. The team wants to minimize refresh disruption and avoid full refresh. What is the most likely issue and best next step?

You are provisioning Autonomous Database for a mission-critical workload requiring minimal downtime and strict data residency. The organization also requires an automated disaster recovery posture with clear failover/failback procedures. Which provisioning choice and DR design best align with Autonomous capabilities and these requirements?

A RAG application stores document chunks and vectors in Autonomous Database. The team wants to reduce hallucinations by enforcing that the LLM only answers using retrieved sources. They plan to store citations and retrieval scores for auditing. Which database-centric pattern best supports traceability, governance, and repeatability of answers?