1Z0-931-25 Oracle Autonomous Database Cloud 2025 Professional Practice Questions

Elastic Resource Pools are specifically designed for database consolidation scenarios on Autonomous Database Shared. They allow you to create a pool of OCPUs that can be shared among multiple databases, providing a way to manage resources efficiently and maintain performance isolation for different workloads within the same shared infrastructure.

A refreshable clone can be kept up-to-date with its source database, but it can lag behind by a maximum of 7 days. If the clone is not refreshed within this 7-day window, the link to the source database is automatically severed, and the clone becomes a regular, standalone clone.

The fundamental difference lies in their data storage optimization. ATP is optimized for transactional workloads and uses a traditional row format, which is efficient for inserting, updating, and deleting individual records. ADW is optimized for analytical queries over large datasets and uses a columnar format, which is highly efficient for aggregations and scanning select columns.

This scenario describes a proximity query, often implemented by creating a 'buffer' zone around a point of interest (the intersection) and finding all other points (cameras) that fall within that buffer. Functions like SDO_WITHIN_DISTANCE or SDO_BUFFER are used for this purpose. This is a core capability of spatial databases for location-based analysis.

True. To be eligible for the BYOL model with Autonomous Database, the on-premises licenses must include Oracle Database Enterprise Edition plus the Multitenant and Real Application Clusters (RAC) options. This is because the underlying Exadata infrastructure for ADB utilizes these features extensively.

High 'CPU' and 'CPU + CPU Wait' in Performance Hub's ASH Analytics directly indicates that the database workload is CPU-bound. The queries are either actively using CPU or waiting for CPU resources to become available. The most direct and effective solution in Autonomous Database is to scale up the OCPUs, which provides more processing power to the instance. Increasing storage would address I/O issues, and manual indexing is generally not required as ADB manages indexing automatically.

This option correctly addresses all three requirements. 1) A Private Endpoint ensures network isolation within the VCN. 2) Customer-Managed Keys with integration to their own HSM (a third-party KMS) meets the key management requirement. 3) A custom maintenance schedule for the Autonomous VM Cluster allows them to specify the exact day and time for patching, meeting the operational control requirement.

A Private Endpoint creates a private IP address for the Autonomous Database within a private subnet of your VCN. This allows traffic to the database to stay entirely within the OCI network backbone, fulfilling the requirement of not traversing the public internet. An ACL only filters public IP addresses and does not prevent traffic from using the public endpoint. A Service Gateway is for accessing public OCI services from a private subnet, and a NAT Gateway provides outbound internet access, neither of which secures the inbound connection to the database.

Select AI is the specific feature in Autonomous Database designed to translate natural language questions into SQL queries using Generative AI and Large Language Models (LLMs). This allows users without SQL expertise to interact with and analyze data. OML is for building machine learning models, APEX is for building applications, and Oracle Text is for full-text search, none of which provide this natural language-to-SQL capability.

When auto-scaling is enabled for an Autonomous Database on Shared Infrastructure, the system can automatically use up to three times the base number of OCPUs allocated during provisioning. This provides elasticity to handle workload spikes without requiring manual intervention or permanent overprovisioning.