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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Topic 2: Secure Oracle AI Database@Azure | 15% | - Data protection
|
| Topic 3: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Subscription and onboarding
|
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Database operations
|
| Topic 5: Configure Oracle AI Database@Azure Networking | 15% | - Azure and Oracle networking
|
| Topic 6: HA and DR with Oracle AI Database@Azure | 10% | - High availability
|
| Topic 7: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration technologies
|
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NEW QUESTION # 101
Which capability is uniquely supported by the flexible VM.BaseDB.x86 virtual machine shape in Oracle Base Database Service on Oracle AI Database@Azure?
Answer: A
Explanation:
The VM.BaseDB.x86 shape introduces a flexible ECPU allocation model for Oracle Base Database Service in Oracle AI Database@Azure. Its key capability is that administrators can modify the number of allocated ECPUs after the DB system has already been provisioned .
Oracle announced support for this shape in July 2026 and documents the ability to create and manage Base Database DB systems with flexible ECPU allocation. In the resource-management workflow, the administrator can select the option to update the ECPU count and save the revised configuration. Supported systems using VM.Standard.x86 can also be migrated to the new flexible shape.
The shape does not provide independent arbitrary memory scaling divorced from its compute model. It does not convert database storage into local logical volumes. Most importantly, Oracle explicitly states that Oracle Real Application Clusters (RAC) is not supported for this Base Database configuration, eliminating option C.
Therefore, the defining capability represented in the choices is D: modification of ECPU allocations after provisioning .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Oracle Base Database Service, VM.BaseDB.x86 flexible shape and ECPU scaling.
NEW QUESTION # 102
You are designing a high-availability database environment for a lightweight application using Oracle Base Database Service on Oracle AI Database@Azure. What must you consider regarding Oracle Real Application Clusters (RAC) availability when selecting this specific database service?
Answer: D
Explanation:
Oracle Base Database Service in Oracle AI Database@Azure is designed as a cost-effective single-instance database service , not as an Oracle RAC platform. Consequently, an architect selecting Base Database Service must recognize that multi-node Oracle Real Application Clusters are not available in this service configuration.
Oracle's current Oracle AI Database@Azure service comparison explicitly describes Base Database Service as shared infrastructure for running single instance Oracle Databases using general-purpose VM compute and network-attached storage. Where RAC-level database clustering is required, an Exadata-based service should be evaluated instead, because Oracle Exadata Database Service provides the clustered database architecture required for RAC.
The limitation is not associated with whether the older OCPU or newer ECPU compute model is used. Nor can a Base Database Service DB System become RAC merely by associating it with dedicated Exadata hardware; doing so would represent a different Oracle database service.
Therefore, the correct architectural constraint is C .
Study Guide reference: HA and DR with Oracle AI Database@Azure - Base Database Service availability architecture and RAC support.
NEW QUESTION # 103
You have deployed a primary Exadata VM cluster in one Azure region and a standby in a distant paired region using Active Data Guard. Round-trip latency between the regions exceeds the threshold for synchronous redo transport, but the application requires zero data loss on regional failover. What should you configure?
Answer: A
Explanation:
Oracle Active Data Guard Far Sync is specifically designed to provide zero-data-loss protection when the physical standby database is too geographically distant for direct synchronous redo transport without unacceptable primary-database latency.
The primary database sends redo synchronously to a nearby Far Sync instance. Because the Far Sync instance is positioned within low network latency of the primary, the primary can obtain the acknowledgement required for zero-data-loss protection without waiting for communication with the distant standby. Far Sync then forwards the redo asynchronously across the higher-latency interregional connection to the remote standby.
Oracle's Oracle Database@Azure reference architecture explicitly uses this pattern: the primary sends redo in SYNC mode to its local Far Sync instance, which forwards it in ASYNC mode to the remote standby database.
Maximum Performance using ASYNC alone permits a potential data-loss window. A snapshot standby is intended primarily for temporary read/write testing. Fast-Start Failover automates role transitions but requires an Observer and does not independently solve the synchronous-transport latency problem.
Therefore, C is correct. Study Guide reference: HA and DR - Active Data Guard Far Sync and zero-data- loss cross-region protection.
NEW QUESTION # 104
An enterprise configures an Azure User-Defined Route (UDR) with a prefix of 10.0.0.0/16 to route traffic to an Oracle AI Database@Azure instance that resides in a delegated subnet sized at 10.0.0.0/24. What is the consequence of configuring this less specific UDR prefix?
Answer: B
Explanation:
Oracle's Hub-and-Spoke design guidance defines an important UDR rule for Oracle AI Database@Azure delegated subnets: the route prefix must be at least as specific as the delegated subnet CIDR . A /24 delegated subnet therefore cannot be reliably represented by a broader /16 route when the architecture requires the delegated subnet-specific path.
The less-specific route can fail to take precedence over more-specific system or service routes. This creates the possibility that traffic takes one route toward the database but returns through a different route. Such asymmetric routing is especially problematic with Azure Firewall or an NVA because stateful firewalls expect both directions of a connection to traverse the same inspection point. If the return packet follows a different path, the firewall can drop the session.
A UDR has no mechanism for duplicating VNICs, changing SQL*Net encryption, or resizing the underlying subnet. It simply influences Layer-3 forwarding.
Therefore, A accurately describes the documented routing consequence.
Study Guide reference: Configure Oracle AI Database@Azure Networking - UDR prefix specificity, delegated subnet routing, Hub-and-Spoke and asymmetric routing prevention.
NEW QUESTION # 105
Which two workflow categories does Oracle Zero Downtime Migration (ZDM) support for migrating databases to Oracle AI Database@Azure? (Choose two.)
Answer: B,C
Explanation:
Oracle Zero Downtime Migration organizes its Oracle database migration methods into two fundamental workflow families: Physical Migration and Logical Migration . Each family can then have online and offline variants depending on compatibility requirements and acceptable downtime.
Physical migrations operate on the physical database representation and rely on technologies such as RMAN and Oracle Data Guard. Physical Online migration can instantiate a target using Restore From Service and maintain synchronization using Data Guard, while Physical Offline uses RMAN backup and restore.
Logical migrations operate through logical database objects and data. Oracle Data Pump provides the initial export/import mechanism, while Logical Online migration integrates Oracle GoldenGate to capture and replicate ongoing transactions before cutover. Logical workflows are also suitable for many cross-version or cross-platform scenarios that physical workflows cannot support.
"Container-based migration" and "snapshot-based migration" are not ZDM's top-level migration workflow categories.
Oracle's current ZDM documentation explicitly states that ZDM supports both Physical and Logical Migration workflows.
Therefore, B and D are correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM workflow categories.
NEW QUESTION # 106
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