Oracle AI Cloud Database Services 2025 Professional Advanced Practice Exam: Hard Questions 2025

Your organization runs a mission-critical Oracle Database on OCI and wants to add Generative AI features that summarize case notes stored in the database. Requirements: (1) the database must NOT call public internet endpoints, (2) the AI service must be reachable privately, (3) the solution must support multi-AD resilience for the database tier, and (4) operational complexity must be minimized. Which architecture best satisfies these requirements?

A financial services team is designing an OCI database platform where some workloads require low-latency reads and local writes in two regions (active-active behavior), while other workloads require strict single-writer semantics with near-zero data loss and automatic failover. They want a single overall architecture pattern that cleanly separates these needs. Which design choice is most appropriate?

You are asked to design a multi-tenant platform on OCI where multiple application teams share a single database service, but the security team mandates strong isolation of data, resource consumption, and AI model access per tenant. Teams will also use in-database vector search and LLM-based summarization. Which approach best meets isolation and governance requirements without over-provisioning separate databases for every team?

A data science team is building an application that uses Retrieval-Augmented Generation (RAG) over documents stored in an Oracle database. They notice irrelevant answers due to semantically similar but outdated documents. They need to improve retrieval precision without significantly increasing latency. Which change is the most effective and aligns with best practices for vector search in Oracle databases?

A regulated enterprise wants to use an LLM to generate summaries of support tickets stored in a private OCI database. They must ensure that sensitive fields (PII) are never sent to the LLM, but the summary must still reference ticket context. They want a solution that is enforceable at the database layer and auditable. Which approach is best?

A team operationalizes ML scoring inside their Oracle database to minimize data movement. During peak hours, scoring queries cause contention and unpredictable latency for OLTP workloads. They want to keep in-database scoring but ensure OLTP SLAs are protected. Which design is most appropriate?

A DevOps team provisions multiple Oracle DB Systems using Terraform. They observe that after applying changes, some DB Systems are unintentionally replaced (destroy/recreate) when only storage or backup-related parameters change. They must avoid replacement for production systems and enforce safe updates. What is the best practice to address this?

A company uses Data Guard for DR. After a failover test, the new primary runs fine, but when attempting to reinstate the old primary as a standby, managed recovery fails due to diverged redo history. They want a method that minimizes data transfer time and operational risk. What is the most appropriate approach?

A security audit finds that database administrators can query sensitive application tables directly in production. The company needs to enforce separation of duties: DBAs should manage the database but must be prevented from reading specific schemas except through audited break-glass procedures. Which solution is the best fit in Oracle database services on OCI?

An application experiences intermittent latency spikes. AWR/ASH shows short bursts of high 'log file sync' waits and increased redo size coinciding with an AI feature that writes embeddings and metadata during user transactions. The team wants to reduce commit latency without sacrificing durability. Which change is the most appropriate first step?