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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Database operations
|
| Topic 2: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration technologies
|
| Topic 3: Configure Oracle AI Database@Azure Networking | 15% | - Azure and Oracle networking
|
| Topic 4: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Topic 5: Secure Oracle AI Database@Azure | 15% | - Data protection
|
| Topic 6: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Subscription and onboarding
|
| Topic 7: HA and DR with Oracle AI Database@Azure | 10% | - Disaster recovery and backup
|
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NEW QUESTION # 66
A healthcare provider runs Oracle Exadata Database Service on Dedicated Infrastructure on Oracle AI Database@Azure in an Azure region where Oracle AI Database@Azure is currently available in only a single availability zone. Regulatory requirements mandate that all replicated data remain within the same country, which rules out replicating to a paired cross-region location. The provider still needs a standby database for site-level fault isolation within the region. As the architect, you must select the disaster recovery approach that satisfies the data-residency constraint. Choose ONE.
Answer: B
Explanation:
The uploaded study set keys D , because it attempts to preserve data inside the same geographical region while obtaining a separate fault domain.
There is, however, an important current-documentation qualification. Oracle AI Database@Azure maps an OCI Availability Domain to an Azure Availability Zone , and Oracle MAA documentation describes local Data Guard standby deployments on another Exadata infrastructure in the same or a separate Azure Availability Zone . Oracle's cross-zone Data Guard implementation explicitly requires primary and standby Oracle AI Database@Azure deployments in two supported Azure AZs.
Therefore, option D is valid only if the second OCI Availability Domain corresponds to another supported Oracle AI Database@Azure Azure AZ. If the premise is literally that Oracle AI Database@Azure is available in only one Azure AZ and cross-region replication is prohibited, current Oracle documentation does not provide a second independent Oracle AI Database@Azure site simply by selecting an unmapped OCI AD.
For the uploaded question's intended key, the answer remains D , but the architecture should be treated with this deployment-availability condition.
NEW QUESTION # 67
Your organization has deployed several Exadata VM Clusters within Oracle AI Database@Azure, and a database administrator needs to create custom dashboards and adjust metric collection settings in the Azure Portal. Which built-in Azure role must be assigned to this administrator to enable both viewing metrics and modifying monitoring configurations?
Answer: A
Explanation:
The appropriate built-in Azure RBAC role is Monitoring Contributor . Microsoft defines this role for administrators who need to read monitoring information and create or modify monitoring configuration .
Monitoring Contributor includes the monitoring-read capabilities required to inspect metrics and diagnostic data and adds permissions needed to create or edit diagnostic settings, alert-related configurations, and monitoring resources. Microsoft also identifies creation of private monitoring dashboards as a supported use case for this role.
Monitoring Reader is insufficient because it is primarily a read-only monitoring role. It allows users to inspect monitoring data and settings but does not grant the required configuration-modification permissions. The general Reader role similarly lacks write capabilities. Owner would technically provide sufficient access but violates least privilege because it grants comprehensive resource-management permissions, including access- control authority far beyond monitoring.
Because the administrator's duties are specifically monitoring-oriented but require configuration changes, Monitoring Contributor supplies the correct functional scope without granting unrestricted ownership.
Study Guide reference: Secure Oracle AI Database@Azure - Azure RBAC, monitoring permissions, least privilege and operational administration
NEW QUESTION # 68
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 # 69
Your development team is trying to establish a private network connection from an Azure Container Apps environment to an Exadata database on Oracle AI Database@Azure, but the connection keeps timing out.
Which feature must you enable on your database virtual network (VNet) to resolve this compatibility issue?
Answer: A
Explanation:
Oracle explicitly requires Advanced Networking for compatibility between Oracle AI Database@Azure and certain Azure services that use specialized private-networking behavior. Oracle's troubleshooting documentation specifically identifies Azure Container Apps and serverless services such as Azure Functions using private endpoints as examples.
Without Advanced Networking, these services may be unable to establish supported connectivity to the Oracle AI Database@Azure delegated subnet even when basic VNet routing appears correct. The feature enables the enhanced networking capabilities required for these communication patterns and is also relevant to Global VNet Peering scenarios.
Oracle notes an important provisioning condition: Advanced Networking should be enabled before Oracle AI Database@Azure resources/VNICs have been provisioned in the delegated subnet for the feature to be applied correctly to subsequent resources.
An NVA route bypass does not provide this compatibility feature. FastConnect is an OCI dedicated- connectivity technology, and ExpressRoute Global Reach addresses ExpressRoute interconnection scenarios rather than the specific Azure Container Apps compatibility requirement.
Thus, C. Advanced Networking is the documented solution.
Study Guide reference: Configure Oracle AI Database@Azure Networking - Advanced Networking, delegated subnet connectivity, Azure Container Apps and serverless/private endpoint integration.
NEW QUESTION # 70
What are the core ECPU scaling increments required when configuring the enabled ECPU count per virtual machine for an Exadata VM Cluster on Exascale Infrastructure?
Answer: B
Explanation:
Oracle Exadata Database Service on Exascale Infrastructure uses the Elastic Compute Processing Unit (ECPU) model for allocating database-server processing capacity. Oracle's Exascale technical architecture specifies that a VM requires at least eight enabled ECPUs for initial VM Cluster provisioning and that vertical compute scaling is performed in increments of four ECPUs .
This model provides substantially finer-grained scaling than traditional fixed Exadata infrastructure shapes while maintaining predictable resource allocation across the underlying Exascale compute pool.
Administrators can increase enabled ECPUs as workload demand grows, and Exascale also supports reserved ECPU concepts that allow capacity to be physically reserved for future growth. The distinction between enabled and reserved capacity is operationally important: enabled ECPUs are active compute resources used by the VM, whereas reserved capacity can facilitate future scale-up.
An increment of eight would unnecessarily double the required scaling step; one- or two-ECPU increments are not the documented unit for Exadata VM scaling on Exascale Infrastructure. The correct granularity is therefore four ECPUs .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata Database Service on Exascale Infrastructure, ECPU compute model, VM Cluster provisioning and scaling.
NEW QUESTION # 71
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