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| Section | Weight | Objectives |
|---|---|---|
| Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Autonomous AI Database - ZDM workflows to Exadata |
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Exadata infrastructure and clusters - Backup and restore processes - Configure monitoring and observability - Provision Autonomous AI Database - Create and configure Azure delegated subnet - Provision Exascale infrastructure and services - Provision Base Database Service |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle AI Database@Azure and its architecture - Understand purchase options - Configure prerequisites for onboarding - Explain Oracle Database services in Oracle AI Database@Azure |
| Configure Oracle AI Database@Azure Networking | 15% | - Explain networking concepts - Configure DNS - Describe supported network topologies |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
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NEW QUESTION # 95
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: B
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 # 96
Which OCI Identity and Access Management (IAM) policy must be added to your OCI tenancy to prevent
404 NotAuthorizedOrNotFound errors when default OCI tags are automatically generated during Exadata VM cluster creation in Oracle AI Database@Azure?
Answer: D
Explanation:
Oracle documents a specific 404 NotAuthorizedOrNotFound condition that can occur during Exadata VM Cluster creation when the selected private DNS zone does not already contain tags. Oracle then attempts to generate the default OCI oracle-tags, but the multicloud service principal must have permission to use the associated tag namespace.
The required policy statement is:
Allow any user to use tag-namespaces in tenancy where request.principal.type = 'multicloudlink' Oracle's current troubleshooting guidance also requires the companion permission:
Allow any user to manage tag-defaults in tenancy where request.principal.type = 'multicloudlink' The crucial detail is that the provisioning operation executes under the multicloudlink principal type , not an ordinary administrator group or a principal with request.user.id='multicloud'. Merely granting inspect permission is insufficient because the service must actually apply the tag namespace/defaults.
Thus, among the supplied options, C is the required policy statement.
Study Guide reference: Secure Oracle AI Database@Azure - OCI IAM, MulticloudLink service principal and tagging permissions.
NEW QUESTION # 97
An application team is deploying a cloud-native microservices application on Azure that has highly variable, unpredictable workloads and requires database auto-scaling with zero database administration effort. Which Oracle AI Database@Azure service should the architect provision to satisfy these requirements?
Answer: A
Explanation:
Oracle Autonomous AI Database is specifically designed for workloads where elasticity and minimal administrative overhead are primary requirements. Oracle describes it as a fully autonomous, self-governing database service that handles provisioning, backups, patching, upgrading, performance management, and resource scaling without traditional database-administration effort.
For unpredictable workloads, compute auto scaling is particularly significant. When enabled, Autonomous AI Database can automatically consume additional CPU and I/O resources as workload demand rises without requiring an administrator to manually resize the database. Storage can likewise be scaled and can use separate auto-scaling functionality.
Exadata Database Service on Dedicated Infrastructure provides extremely high performance and consolidation capabilities but retains customer database-management responsibilities. Exascale Infrastructure improves Exadata's elastic infrastructure model but is still not equivalent to Autonomous Database's fully managed, self-governing operational model. Base Database Service similarly requires substantially more customer administration.
Therefore, a cloud-native application with volatile usage and a requirement for essentially zero database administration maps directly to Oracle Autonomous AI Database .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database, elastic scaling, automated management and serverless operations.
NEW QUESTION # 98
Your organization is deploying a business-critical database on Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure. Your security and compliance officer mandates that all database backups must remain exclusively within the local Azure region to satisfy strict data residency laws, and they must be protected against ransomware using an immutable, policy-based retention lock.
Additionally, the business requires real-time database protection that reduces potential data loss to less than one second in the event of an outage. Finally, the procurement team wants to ensure that the storage cost of these backups draws down on their existing Microsoft Azure Consumption Commitment (MACC). Which backup option should you implement to meet all of these requirements? Choose ONE.
Answer: A
Explanation:
Oracle Database Autonomous Recovery Service with Azure-based storage is specifically designed to satisfy this combination of data residency, ransomware protection, near-zero data loss, and Azure commercial integration.
Oracle allows the protection policy to specify Store backups in the same cloud provider as the database , which keeps Oracle Database@Azure Recovery Service backups within Azure rather than the paired OCI region. A protection policy can also enable Retention Lock , preventing backups from being modified or deleted before policy expiration and providing protection against accidental or malicious deletion.
For business-critical databases, Real-time Data Protection can be enabled. Oracle describes this as providing recovery to the last sub-second, materially reducing potential data-loss exposure compared with ordinary periodic backups.
Oracle AI Database@Azure usage is billed through Azure Marketplace and counts toward Microsoft Azure Consumption Commitment. Standard OCI Object Storage would not satisfy the stated local-Azure-only storage requirement. Customer-managed Blob Storage lacks the integrated Recovery Service real-time protection model, while ZDLRA is an engineered on-premises recovery appliance rather than the native Oracle AI Database@Azure service.
Therefore, B is correct.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Recovery Service, retention lock, real-time protection and data residency.
NEW QUESTION # 99
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: C
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 # 100
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