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Oracle 1z1-1147 Exam Syllabus Topics:

SectionWeightObjectives
Oracle AI Database@Azure Architecture and Onboarding20%- Roles and permissions
- Azure Marketplace purchase and onboarding
- Azure subscription and OCI tenancy linking
- Microsoft Entra ID and OCI IAM federation
- Azure regions and OCI availability zones
- Oracle AI Database@Azure architecture
Migrate Oracle Databases to Oracle AI Database@Azure15%- Migration strategy selection
- Zero Downtime Migration
- Data Guard and GoldenGate
- Migration validation and cutover
- Oracle Data Pump
- RMAN-based migration
Configure Oracle AI Database@Azure Networking15%- Default and advanced networking
- ExpressRoute and site-to-site connectivity
- Delegated subnets
- DNS resolution and private connectivity
- VNet peering and connectivity
- Network security groups
- User-defined routes
- Oracle.Database network attachments
HA and DR with Oracle AI Database@Azure10%- Backup and restore
- Data Guard and Autonomous Data Guard
- Availability zones and Exadata redundancy
- RTO and RPO considerations
- Point-in-time recovery
- Switchover and failover
- High availability architecture
Provision and Operate Oracle AI Database@Azure Resources20%- Patching and maintenance
- Monitoring and database management
- Autonomous Database Serverless
- Cloning and refreshing databases
- Exadata Infrastructure and VM Clusters
- Scaling and resource management
- Container and Pluggable Databases
- Quotas and service limits
Secure Oracle AI Database@Azure15%- Network isolation
- Auditing and logging
- Transparent Data Encryption
- Azure and OCI separation of duties
- Database and infrastructure access control
- Oracle-managed and customer-managed keys
- Encryption in transit
Introduction to Multicloud5%- Multicloud concepts and Oracle AI Database@Azure

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Oracle AI Database@Azure Architect Professional Sample Questions (Q29-Q34):

NEW QUESTION # 29
Your organization runs its critical billing workloads on Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure. The security and operations teams require a unified dashboard in the Azure Portal to monitor Exadata VM cluster lifecycle management actions, database events, Exadata infrastructure health, and Data Guard replication logs. The solution must allow administrators to write Kusto Query Language (KQL) queries to correlate these logs with Azure application VM logs in real time without deploying custom agents inside the database VMs. As the multicloud architect, which configuration should you recommend to meet these requirements? Choose ONE.

Answer: D

Explanation:
The native architecture is to configure Azure Monitor diagnostic settings on the Oracle Exadata resources and route the selected log categories into an Azure Log Analytics workspace .
Oracle AI Database@Azure exposes relevant Exadata lifecycle and operational events through Azure diagnostic settings without requiring agents to be installed on Oracle-managed Exadata nodes. Once the telemetry reaches Log Analytics, administrators can query it using Kusto Query Language (KQL) and correlate the Oracle resource events with telemetry generated by Azure application infrastructure.
This architecture satisfies the requirement for centralized Azure-side observability while preserving the managed-service boundary of Exadata. It also integrates naturally with Azure dashboards, alerting, Microsoft Sentinel, and other Azure Monitor capabilities.
Using OCI Object Storage would introduce an unnecessary cross-platform telemetry pipeline. Oracle Enterprise Manager remains useful in broader Oracle management scenarios but is not required for this native Azure integration. Installing Azure Monitor Agent directly on Oracle-managed Exadata infrastructure is neither necessary nor the documented implementation pattern.
Therefore, A provides the supported integrated monitoring architecture.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor, diagnostic settings, Log Analytics, KQL and Exadata observability.


NEW QUESTION # 30
Which two are documented supported network topologies for connecting applications to Oracle AI Database@Azure? (Choose two.)

Answer: B,D


NEW QUESTION # 31
Which capability is provided by a Network Anchor in Oracle AI Database@Azure?

Answer: D

Explanation:
A Network Anchor provides the cross-cloud network integration context used by supported Oracle AI Database@Azure services, including important DNS-resolution capabilities between Azure and OCI .
For inbound DNS resolution toward Azure, Oracle's Network Control Plane can create an OCI forwarding DNS endpoint and associated forwarding rules. For Azure-to-OCI resolution, the service can create an OCI listening DNS endpoint and expose its address through the Network Anchor so Azure DNS infrastructure or on-premises DNS servers can forward queries for Oracle database namespaces.
When both directions are configured, the architecture provides bidirectional private DNS resolution between Azure and OCI environments. Network Anchors can also participate in private-zone synchronization depending on the database service and DNS configuration.
The Network Anchor is not a cryptographic key store; TDE keys belong in Oracle Wallet, OCI Vault, Oracle Key Vault, or Azure Key Vault. Nor does the Network Anchor create Azure Availability Zones/OCI Availability Domains or mandate an IPsec-only intercloud transport mechanism.
Therefore, B is correct.
Study Guide reference: Configure Oracle AI Database@Azure Networking - Network Anchors, DNS listening endpoints and forwarding endpoints.


NEW QUESTION # 32
You are configuring logging for an Exadata Infrastructure resource in Oracle AI Database@Azure and attempt to save a second diagnostic setting that routes the same log categories to your primary Log Analytics workspace. What will occur when you attempt to save this configuration?

Answer: A

Explanation:
Microsoft's Oracle Exadata Database on Dedicated Infrastructure observability guidance explicitly defines a no-duplicate-destination rule for these resources: two diagnostic settings cannot send the same log categories to the same destination. Each diagnostic-setting configuration must therefore remain unique.
An Exadata resource can have multiple diagnostic settings-Microsoft documents a maximum of five per resource-but those settings are intended to provide different category/destination combinations. If an administrator attempts to create another setting with the same log categories targeting the same Log Analytics workspace, the duplicate configuration is rejected rather than automatically consolidated.
Microsoft Sentinel does not serve as a conflict-management mechanism for the diagnostic-settings configuration, and the platform does not resolve the collision by modifying Log Analytics retention. Retention is a separate workspace/data-management concern.
This rule prevents unintended duplicate ingestion and avoids unnecessary telemetry duplication and associated ingestion cost.
Therefore, A accurately describes the outcome.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata logging, Azure Monitor diagnostic settings, Log Analytics and observability constraints.


NEW QUESTION # 33
You want to temporarily minimize compute license billing costs for an idle guest Exadata VM Cluster on Oracle AI Database@Azure without destroying the virtual machines or losing database storage. What is the minimum number of OCPUs per database node you can scale the cluster down to in order to achieve this state?

Answer: A

Explanation:
Oracle Exadata VM Cluster compute resources can be scaled down to zero OCPUs when the objective is to suspend compute consumption without deleting the VM Cluster definition or its persistent database storage.
Oracle explicitly notes that simply stopping VMs does not stop the relevant compute billing; to stop VM Cluster compute-related billing, the enabled OCPU-or ECPU on applicable generations-allocation must be reduced to zero.
At zero enabled compute, the guest VMs are shut down while the infrastructure configuration and persistent database storage remain available. The administrator can later restore service by scaling the enabled compute allocation back above zero. This makes the feature useful for development, testing, seasonal, or otherwise intermittent environments where deleting and recreating the database environment would be operationally undesirable.
Values of one, two, or four OCPUs still represent allocated active compute and therefore do not achieve the requested zero-compute billing state.
On Exascale Infrastructure, Oracle documents the equivalent ECPU behavior explicitly: enabled ECPUs can be scaled to zero, shutting down VM Cluster VMs and stopping enabled-ECPU usage billing.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - VM Cluster scaling, OCPU/ECPU allocation and cost control.


NEW QUESTION # 34
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