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| Section | Weight | Objectives |
|---|---|---|
| Secure Oracle AI Database@Azure | 15% | - Database and infrastructure access control - Auditing and logging - Oracle-managed and customer-managed keys - Encryption in transit - Transparent Data Encryption - Azure and OCI separation of duties - Network isolation |
| HA and DR with Oracle AI Database@Azure | 10% | - Backup and restore - High availability architecture - RTO and RPO considerations - Availability zones and Exadata redundancy - Data Guard and Autonomous Data Guard - Switchover and failover - Point-in-time recovery |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - RMAN-based migration - Migration strategy selection - Oracle Data Pump - Zero Downtime Migration - Data Guard and GoldenGate - Migration validation and cutover |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Patching and maintenance - Autonomous Database Serverless - Exadata Infrastructure and VM Clusters - Cloning and refreshing databases - Container and Pluggable Databases - Monitoring and database management - Quotas and service limits - Scaling and resource management |
| Configure Oracle AI Database@Azure Networking | 15% | - Delegated subnets - ExpressRoute and site-to-site connectivity - User-defined routes - Oracle.Database network attachments - Network security groups - DNS resolution and private connectivity - Default and advanced networking - VNet peering and connectivity |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure subscription and OCI tenancy linking - Oracle AI Database@Azure architecture - Azure regions and OCI availability zones - Azure Marketplace purchase and onboarding - Microsoft Entra ID and OCI IAM federation - Roles and permissions |
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NEW QUESTION # 102
Which of the following is NOT a valid managed backup destination for an Exadata Database in Oracle AI Database@Azure?
Answer: B
Explanation:
The invalid managed backup destination is the physical Zero Data Loss Recovery Appliance (ZDLRA) .
Oracle AI Database@Azure currently provides two primary managed automatic backup destinations for Exadata databases: Oracle Database Autonomous Recovery Service and OCI Object Storage . Oracle recommends Autonomous Recovery Service because it provides database-aware incremental-forever protection, policy-based retention, recoverability validation, optional real-time redo protection, and retention- lock capabilities.
Long-Term Retention is a supported capability of Recovery Service and allows selected backups to be preserved for extended compliance periods. It therefore represents a valid managed backup lifecycle option, even though technically it is a Recovery Service feature rather than an independent storage system.
The Zero Data Loss Recovery Appliance is a physical Oracle engineered system primarily used in customer data centers and appropriate Cloud@Customer architectures. Autonomous Recovery Service incorporates technologies derived from the Recovery Appliance but is delivered as a managed cloud service; these two should not be confused.
Therefore, the answer to the "NOT valid" question is B .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata automatic backups, Object Storage and Autonomous Recovery Service.
NEW QUESTION # 103
Which core Oracle Database technology is utilized under the hood to deliver localized node-level high availability in the MAA Silver tier for Exadata Database Service on Dedicated Infrastructure in Oracle AI Database@Azure?
Answer: B
Explanation:
Oracle Maximum Availability Architecture Silver adds Oracle Real Application Clusters (RAC) to the MAA Bronze foundation. RAC provides active-active database clustering across multiple database-server nodes while all instances access the same underlying database storage.
For Exadata Database Service on Dedicated Infrastructure, RAC supplies localized protection against database-instance and database-server failure. If one RAC instance or compute node fails, services and connections can relocate to surviving instances that are already running. RAC also materially reduces or eliminates database downtime for many planned maintenance operations.
Oracle Active Data Guard addresses a different availability layer: it maintains a physically separate standby database and is primarily used for site, availability-zone, or regional disaster recovery. Oracle GoldenGate performs logical data replication and integration, while Oracle Sharding distributes data across independent database shards for scale and fault isolation.
Oracle's current MAA documentation explicitly identifies RAC as the technology introduced at the Silver tier and recommends Exadata as the optimized RAC platform.
Therefore, B is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - MAA Silver, Oracle RAC and local high availability.
NEW QUESTION # 104
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: C
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 # 105
You have accepted and purchased a Private Offer for Oracle AI Database@Azure in the Azure Marketplace, and the offer status now shows as subscribed. What must you do before you can provision Exadata resources?
Answer: D
Explanation:
Purchasing and subscribing to the Oracle AI Database@Azure Private Offer establishes the Azure Marketplace commercial relationship, but it does not complete the technical onboarding process. The next mandatory stage is linking the Azure subscription to an Oracle Cloud Infrastructure tenancy . Oracle refers to this process as multicloud linking.
For a Private Offer, the customer can either create a new OCI tenancy or link an existing eligible OCI tenancy. The linked OCI account supplies the Oracle-side control-plane context used for database resources, including management of container databases and pluggable databases and delivery of Oracle infrastructure and software maintenance services. Only after the Purchase and Link stages have been completed and the account relationship is verified can normal Oracle AI Database@Azure resource provisioning proceed.
Azure Key Vault integration is optional and relates to customer-managed TDE keys. Data Guard is configured after database infrastructure exists, and an Autonomous Database is not a prerequisite for Exadata.
Therefore, D is correct. Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding
- Purchase, Link, Verify, and OCI tenancy association.
NEW QUESTION # 106
Which three are valid destination types that can be configured when setting up Azure Monitor diagnostic settings for Exadata VM Clusters in Oracle AI Database@Azure? (Choose three.)
Answer: A,D,F
Explanation:
Oracle AI Database@Azure integrates its operational telemetry with Azure Monitor diagnostic settings so organizations can apply existing Azure observability, compliance, and SIEM architectures to Oracle database infrastructure.
Three standard destinations are relevant here. An Azure Log Analytics workspace receives telemetry for centralized querying, dashboarding, alerting, and Kusto Query Language analysis. An Azure Storage account can archive logs or metrics for retention, compliance, or later processing. Azure Event Hubs provides a streaming destination for forwarding telemetry to SIEM products, custom consumers, event-processing pipelines, or other downstream platforms.
Oracle's Oracle AI Database@Azure monitoring documentation specifically lists Log Analytics Workspace, Storage Account, and Event Hub among the available Azure Monitor diagnostic-routing destinations. Oracle Enterprise Manager can monitor Oracle environments but is not an Azure Monitor diagnostic-settings destination. OCI Object Storage is likewise not selected directly as a destination from the Azure diagnostic- settings workflow. Azure SQL Database is a database service rather than a supported diagnostic sink.
Therefore, the three correct selections are A, C, and D .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - monitoring, Azure diagnostic settings, Log Analytics, Storage accounts and Event Hubs.
NEW QUESTION # 107
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