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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Exadata Infrastructure and VM Clusters - Quotas and service limits - Patching and maintenance - Autonomous Database Serverless - Cloning and refreshing databases - Container and Pluggable Databases - Scaling and resource management - Monitoring and database management |
| Topic 2: Secure Oracle AI Database@Azure | 15% | - Database and infrastructure access control - Auditing and logging - Encryption in transit - Network isolation - Azure and OCI separation of duties - Oracle-managed and customer-managed keys - Transparent Data Encryption |
| Topic 3: Configure Oracle AI Database@Azure Networking | 15% | - Default and advanced networking - ExpressRoute and site-to-site connectivity - Delegated subnets - DNS resolution and private connectivity - Network security groups - User-defined routes - Oracle.Database network attachments - VNet peering and connectivity |
| Topic 4: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Topic 5: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration strategy selection - Migration validation and cutover - Oracle Data Pump - Data Guard and GoldenGate - Zero Downtime Migration - RMAN-based migration |
| Topic 6: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Roles and permissions - Oracle AI Database@Azure architecture - Azure subscription and OCI tenancy linking - Microsoft Entra ID and OCI IAM federation - Azure regions and OCI availability zones - Azure Marketplace purchase and onboarding |
| Topic 7: HA and DR with Oracle AI Database@Azure | 10% | - High availability architecture - Availability zones and Exadata redundancy - Switchover and failover - Backup and restore - Data Guard and Autonomous Data Guard - RTO and RPO considerations - Point-in-time recovery |
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NEW QUESTION # 12
Which two are officially documented multicloud use cases according to the Oracle Cloud Infrastructure (OCI) Cloud Adoption Framework? (Choose two.)
Answer: A,D
Explanation:
Oracle's multicloud guidance identifies business and architecture patterns rather than narrowly defined infrastructure features as core multicloud use cases. Two explicitly documented patterns are Cross-Cloud Disaster Recovery and Running Applications in One Cloud and Databases in Another .
Cross-cloud disaster recovery places a production environment in one cloud while maintaining a recovery environment in another. This design reduces dependence on a single cloud platform and enables business continuity if the primary environment experiences a major outage. It is particularly relevant where resilience requirements justify provider-level diversification.
The application/database split pattern allows an organization to operate its application tier in one cloud while placing its database in another cloud that provides preferable database capabilities, performance, economics, or management characteristics. Oracle AI Database@Azure is a practical implementation of this model:
Azure applications can use Oracle database technology deployed in Azure data centers and managed through Oracle's multicloud architecture.
Automatic identity-domain replication and Active Directory domain-controller synchronization may support a multicloud environment, but they are implementation capabilities rather than the high-level multicloud use cases documented by Oracle.
Study Guide reference: Introduction to Multicloud - multicloud drivers, application/database separation, cross-cloud DR, resiliency and workload placement.
NEW QUESTION # 13
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 # 14
When Default DNS is used during Exadata VM Cluster provisioning in Oracle AI Database@Azure, which domain suffix does the SCAN listener use?
Answer: C
Explanation:
With the Default DNS option, Oracle automatically creates and manages the private DNS configuration associated with the Exadata VM Cluster. The generated database networking domain uses the oraclevcn.com suffix.
The Single Client Access Name (SCAN) listener and database-node FQDNs are registered within this Oracle- managed private DNS domain. OCI hosts the corresponding private DNS zone and, as part of the Oracle AI Database@Azure integration, the service replicates the required DNS records into a matching Azure Private DNS zone. Azure then links that private zone to the VNet hosting the Oracle database deployment, allowing Azure applications to resolve the Oracle database endpoints privately.
oraclecloud.com is broadly used for Oracle public cloud endpoints but is not the default private VCN suffix for the Exadata SCAN name. azure-database.net and oci-exadata.com are likewise not the default suffixes used by this Oracle-managed DNS architecture.
Therefore, D. oraclevcn.com is correct.
Study Guide reference: Configure Oracle AI Database@Azure Networking - Exadata default DNS, SCAN and Azure Private DNS replication.
NEW QUESTION # 15
You have enabled automatic backups on an Autonomous AI Database with a 30-day retention period. You subsequently terminate the Autonomous Container Database. What happens to the previously retained automatic backups?
Answer: B
Explanation:
Oracle Autonomous Container Database backup configuration includes an explicit backup-retention policy on termination . Administrators can select one of two supported behaviors: retain backups according to the normal configured backup-retention period, or retain them for 72 hours after termination and then delete them .
Oracle documentation identifies these options as RETAIN_PER_RETENTION_WINDOW and RETAIN_FOR_72_HOURS. The latter is the default in relevant API/Terraform configuration. Therefore, terminating an Autonomous Container Database does not inherently result in the immediate deletion of all automatic backups. Their post-termination lifetime is governed by the configured termination-retention policy.
Standard automatic backups are also not automatically converted into Long-Term Retention backups when the database is terminated. LTR backups have their own lifecycle and are explicitly excluded from the ordinary ACD termination-retention setting. No automatic export to Azure Blob Storage occurs as part of ACD termination.
Thus, B correctly reflects Oracle's documented post-termination backup behavior.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Container Database automatic backups, termination and retention policy.
NEW QUESTION # 16
What is the minimum number of ECPUs required per VM to provision a VM cluster on Oracle Exadata Database Service on Exascale Infrastructure?
Answer: D
Explanation:
Oracle Exadata Database Service on Exascale Infrastructure uses the Elastic Compute Processing Unit (ECPU) resource model. During initial VM Cluster provisioning, Oracle requires a minimum of 8 ECPUs enabled per VM .
The distinction between the initial minimum and subsequent scaling increments is important. After the VM Cluster exists, enabled compute capacity is adjusted in increments of 4 ECPUs . Therefore, 4 ECPUs represents the scaling granularity, not the minimum provisionable starting configuration. Oracle also allows enabled ECPUs to be reduced to zero after provisioning when administrators need to temporarily shut down the VMs and suspend enabled-ECPU usage billing, but zero cannot be used as the initial active configuration.
Current Oracle documentation defines the supported total ECPU allocation per VM within the applicable Exascale service limits and explicitly states that the provisioned value must be a multiple of four.
Consequently, neither 1 nor 4 meets the initial provisioning baseline, while 16 is valid but exceeds the minimum. The correct answer is A. 8 ECPUs .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exascale VM Cluster sizing and ECPU configuration.
NEW QUESTION # 17
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