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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration planning
|
| Topic 2: Configure Oracle AI Database@Azure Networking | 15% | - Network security and connectivity
|
| Topic 3: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Topic 4: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Subscription and onboarding
|
| Topic 5: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provisioning database infrastructure
|
| Topic 6: HA and DR with Oracle AI Database@Azure | 10% | - High availability
|
| Topic 7: Secure Oracle AI Database@Azure | 15% | - Security and access control
|
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NEW QUESTION # 16
You are planning to migrate an on-premises Oracle Database to an Autonomous Database Serverless target on Oracle Database@Azure. Which migration workflow families are supported by Zero Downtime Migration (ZDM) to accomplish this task?
Answer: A
Explanation:
For an Autonomous AI Database Serverless target, Oracle Zero Downtime Migration supports Logical Online and Logical Offline migration workflows.
Logical migration is necessary because Autonomous AI Database Serverless abstracts the underlying physical database infrastructure and does not expose the file-system and database-host control required for a conventional physical RMAN/Data Guard migration. ZDM therefore operates through logical database migration technologies.
Logical Offline uses Oracle Data Pump export and import to instantiate the target. Logical Online adds Oracle GoldenGate to the workflow so changes occurring on the source after the initial data load are captured and applied to the target until final cutover, greatly reducing application downtime.
Oracle's Oracle Database@Azure migration documentation explicitly lists these two workflows for migration to Autonomous Database Serverless. Physical Online and Physical Offline workflows apply to supported customer-managed Oracle database targets, such as Exadata Database Service, rather than Autonomous Serverless.
Therefore, A is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - Autonomous AI Database Serverless migration workflow support.
NEW QUESTION # 17
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: D
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 # 18
Your organization has already deployed five Oracle Database@Azure delegated subnets across different virtual networks in a single Azure region. What is required if you need to provision a sixth delegated subnet in the same region?
Answer: D
Explanation:
Oracle AI Database@Azure applies a regional service limit to delegated subnet usage. The documented default is five delegated subnets per OCI tenancy in a specific region . This is a service quota rather than a limitation that can be bypassed through additional Azure routing constructs.
To exceed the default, the customer must request a service limit increase . Oracle identifies the relevant OCI service as Multicloud, the resource as Delegated Subnet Multicloud Links , and the corresponding service- limit name as azure-delegated-subnet-count. The limit is regional, so introducing another VNet, Route Server, VNet peering relationship, or Microsoft Entra tenant does not increase the permitted count.
Current documentation phrases the operation as requesting a service limit increase through Oracle's service- limit process. Among the supplied choices, option D is the only one that represents that required Oracle-side quota increase.
Architecturally, this distinction matters because routing topology and service capacity are independent control planes: networking objects determine reachability, whereas Oracle-enforced service limits determine how many delegated-subnet links may exist.
Study Guide reference: Configure Oracle AI Database@Azure Networking - delegated subnet limits and Multicloud service-limit management.
NEW QUESTION # 19
Which two database services are officially supported and available for deployment on optimized hardware in Oracle AI Database@Azure? (Choose two.)
Answer: A,B
Explanation:
Among the choices presented, Oracle Exadata Database Service on Dedicated Infrastructure and Oracle Autonomous AI Database are both native Oracle AI Database@Azure database services designed to run on Oracle-optimized database infrastructure located inside Azure data centers. Exadata Database Service provides customer-managed Oracle Database environments on purpose-built Exadata hardware, with RAC, Data Guard, elastic compute, and high-performance storage capabilities. Autonomous AI Database provides a fully managed database model in which Oracle automates provisioning, patching, tuning, backup operations, and resource scaling.
Oracle's current service portfolio has expanded further and now also includes Exadata Database Service on Exascale Infrastructure, Base Database Service, Autonomous AI Database on Dedicated Exadata Infrastructure, GoldenGate, and Autonomous Recovery Service. However, those services are not alternatives in this question. Oracle NoSQL Database Cloud Service is not one of the listed Oracle AI Database@Azure database offerings, while a generic Oracle Database Standard Edition VM running on Azure IaaS is not equivalent to a native Oracle AI Database@Azure service.
Therefore, B and C are correct. Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - supported database services and optimized Oracle infrastructure.
NEW QUESTION # 20
A financial services firm is migrating its legacy core banking application to Microsoft Azure to leverage Azure's extensive app modernization and containerization ecosystem. However, the firm's strict service-level agreements (SLAs) for transactional throughput and database availability require keeping the system on Oracle Exadata Database Service. The database must remain in OCI to leverage native OCI management, while the containerized application microservices must be hosted on Azure. To minimize latency and egress costs, the architect must choose the OCI-recommended multicloud use-case pattern that supports running the application front-end and the relational database on different public clouds connected via private, high-speed links. Choose ONE.
Answer: C
Explanation:
The scenario directly matches Oracle's documented multicloud use case of running applications in one cloud and databases in another , also described here as an application and database split-stack architecture .
This design allows an organization to place its application tier in the cloud offering the preferred application- development ecosystem while retaining the database on the cloud platform offering the required database capabilities. In this case, Azure provides containerization and application modernization services, while OCI continues hosting Oracle Exadata Database Service for high transaction throughput, database availability, and Oracle-native operational control.
Private, high-bandwidth intercloud connectivity is critical because application-to-database latency directly affects transaction response time. Keeping data movement predictable and minimizing unnecessary public- internet routing also improves security and can reduce data-transfer overhead.
Horizontal workload distribution instead spreads workloads across clouds rather than separating application and database tiers. Production/development separation addresses lifecycle environments, while SaaS/ERP integration addresses data interoperability rather than a transactional split-stack application.
Therefore, C is the correct architectural pattern.
Study Guide reference: Introduction to Multicloud - Running Applications in One Cloud and Databases in Another.
NEW QUESTION # 21
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