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| Section | Weight | Objectives |
|---|---|---|
| Secure Oracle AI Database@Azure | 15% | - Data protection
|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Database operations
|
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Subscription and onboarding
|
| Configure Oracle AI Database@Azure Networking | 15% | - Network security and connectivity
|
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration technologies
|
| HA and DR with Oracle AI Database@Azure | 10% | - High availability
|
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NEW QUESTION # 23
Which two workflow categories does Oracle Zero Downtime Migration (ZDM) support for migrating databases to Oracle AI Database@Azure? (Choose two.)
Answer: C,D
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 # 24
A financial services company is deploying Oracle Exadata Database Service on Dedicated Infrastructure on Oracle AI Database@Azure. Their security team mandates that database traffic never traverse the public internet, and that the Azure VNet hosting the delegated subnet also connect to three separate application-tier spoke VNets in the same region. Additionally, all inter-VNet traffic must pass through a centralized network virtual appliance for inspection before reaching the delegated subnet. As the architect, you must choose the network topology that satisfies both the multi-VNet connectivity and the centralized inspection requirement.
Choose ONE.
Answer: A
Explanation:
The intended topology is Hub-and-Spoke with centralized NVA inspection , making C the correct choice among the available answers. This architecture permits multiple application VNets to communicate privately with the Oracle database while routing inter-VNet traffic through a central firewall or Network Virtual Appliance rather than the public internet.
There is an architectural wording issue worth correcting precisely. Oracle's published reference topology normally places the Azure Firewall/NVA in the Hub VNet while Oracle Database@Azure resides in a separate Data VNet containing the delegated client subnet . Application workloads reside in spoke VNets.
The hub then provides centralized routing and inspection between the application spokes and the data VNet.
Therefore, the essential principle embodied by C- Hub-and-Spoke plus centralized NVA inspection -is correct, although the phrase "delegated subnet in the hub VNet" is not how Oracle's canonical diagram lays out the components.
Direct local peering would bypass centralized inspection, while direct Virtual WAN spoke-to-spoke communication violates the same requirement. Data Guard concerns DR, not application traffic inspection.
NEW QUESTION # 25
What is the minimum storage capacity that must be allocated when creating a new Exadata Database Storage Vault for Exascale Infrastructure in Oracle AI Database@Azure?
Answer: B
Explanation:
Oracle Exadata Database Service on Exascale Infrastructure separates database storage into Exascale Database Storage Vaults . Oracle documents the minimum billed Database Storage Vault capacity as 300 GB per VM Cluster .
The minimum is composed of storage required for system use and the first database. Oracle's current Exascale capacity table allocates 50 GB for system-related usage, including images stored in ACFS, and 250 GB for database use when provisioning the first database. Together, these produce the 300 GB minimum vault capacity.
This value must not be confused with VM file-system storage. Current Exascale guidance specifies a separate minimum VM file-system capacity that varies by database version-for example, 220 GB for a 26ai VM configuration. That explains why 220 GB appears plausible but is incorrect for the Database Storage Vault asked about here.
The vault can subsequently be scaled substantially beyond the minimum; Oracle documents VM Cluster Exascale Vault storage scaling up to 100 TB.
Therefore, the correct answer is D. 300 GB .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata Database Service on Exascale Infrastructure, Database Storage Vault sizing and capacity.
NEW QUESTION # 26
Your team is migrating a processing-intensive workload to Oracle Autonomous AI Database Serverless on Oracle AI Database@Azure and needs to scale up the compute allocation during provisioning. What is the maximum number of ECPUs that can be configured for a single database instance using the slider user interface?
Answer: C
Explanation:
The standard Oracle Autonomous AI Database Serverless resource-allocation interface permits the administrator to configure the base compute allocation up to 512 ECPUs using the ECPU slider. This value represents the configured base ECPU count for a single database instance rather than the potential temporary compute consumption obtainable through compute auto scaling.
Oracle distinguishes configured ECPUs from auto-scaled usage. For eligible Autonomous AI Database configurations, compute auto scaling can allow the database to consume additional processing capacity above the configured base according to workload demand. For example, a database configured with 512 ECPUs may be capable of consuming substantially more effective processing capacity when auto scaling is enabled, subject to the service and licensing model.
The 1024-ECPU option therefore does not represent the normal single-instance slider ceiling addressed by this question. The 256- and 128-ECPU values are valid intermediate configurations but are below the maximum.
Consequently, A. 512 ECPUs is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database Serverless provisioning, ECPU configuration and compute scaling.
NEW QUESTION # 27
Which two are documented supported network topologies for connecting applications to Oracle AI Database@Azure? (Choose two.)
Answer: C,D
Explanation:
Oracle documents multiple Azure network patterns for application connectivity to Oracle AI Database@Azure, including VNet peering and Hub-and-Spoke VNet peering .
VNet peering enables application workloads in one Azure VNet to communicate privately with Oracle database resources exposed through a delegated subnet in another VNet. This is appropriate when relatively direct, low-latency communication is required.
A Hub-and-Spoke design introduces a central hub containing shared connectivity and security services, such as Azure Firewall, a Network Virtual Appliance, ExpressRoute gateway, or VPN gateway. Application and database VNets connect as spokes or workload/data networks, allowing centralized inspection and hybrid connectivity.
Oracle's documented topology set also includes local VNet, global connectivity, on-premises Hub-and-Spoke, and related enterprise designs. A point-to-site VPN client model is not identified as the standard application topology requested here. More fundamentally, an Oracle AI Database@Azure deployment cannot exist without an Azure VNet and delegated networking.
Therefore, the correct selections are B and C .
Study Guide reference: Configure Oracle AI Database@Azure Networking - VNet Peering and Hub- and-Spoke topologies.
NEW QUESTION # 28
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