Oracle 1z0-184-25 Dumps Questions Answers

Exadata System Software 24ai (noted in context beyond 23ai) introduces an enhanced encryption algorithm for data at rest (B), strengthening security for stored data, including vectors. Third-party integration (A) isn’t highlighted as a 24ai feature. SNMP security (C) relates to network monitoring, not a primary Exadata enhancement. Oracle’s Exadata documentation for 24ai emphasizes advanced encryption as a key security upgrade.

Exadata in Oracle Database 23ai enhances AI and vector search capabilities. Vector Replication with GoldenGate (B) supports real-time vector data distribution. SQL*Loader (C) loads vector data into VECTOR columns. AI Smart Scan (D) accelerates AI workloads using Exadata’s storage optimizations. However, “Native Support for Vector Search Only within the Database Server” (A) is not a feature; vector search is natively supported across Exadata’s architecture, leveraging both database and storage layers (e.g., via Smart Scan), not restricted to the server alone. This option misrepresents Exadata’s distributed capabilities, making it the correct “NOT” answer.

In Oracle 23ai, the VECTOR data type can specify dimensions and precision. CREATE TABLE vectors (id NUMBER, embedding VECTOR(512, FLOAT32)) (D) defines a column with exactly 512 dimensions and FLOAT32 (32-bit float) format, meeting both requirements. Option A omits the format (defaults vary), risking mismatch. Option B is unspecified, allowing variable dimensions—not “exactly 512.” Option C uses INT8, not FLOAT32, and ‘*’ denotes undefined dimensions. Oracle’s SQL reference confirms this syntax for precise VECTOR definitions.