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| Section | Weight | Objectives |
|---|---|---|
| Secure Oracle AI Database@Azure | 15% | - Transparent Data Encryption - Database and infrastructure access control - Azure and OCI separation of duties - Oracle-managed and customer-managed keys - Network isolation - Auditing and logging - Encryption in transit |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Microsoft Entra ID and OCI IAM federation - Oracle AI Database@Azure architecture - Azure subscription and OCI tenancy linking - Roles and permissions - Azure regions and OCI availability zones - Azure Marketplace purchase and onboarding |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Zero Downtime Migration - Migration validation and cutover - RMAN-based migration - Data Guard and GoldenGate - Migration strategy selection - Oracle Data Pump |
| HA and DR with Oracle AI Database@Azure | 10% | - Switchover and failover - Backup and restore - Data Guard and Autonomous Data Guard - Point-in-time recovery - Availability zones and Exadata redundancy - High availability architecture - RTO and RPO considerations |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Exadata Infrastructure and VM Clusters - Quotas and service limits - Cloning and refreshing databases - Autonomous Database Serverless - Container and Pluggable Databases - Monitoring and database management - Scaling and resource management - Patching and maintenance |
| Configure Oracle AI Database@Azure Networking | 15% | - DNS resolution and private connectivity - Delegated subnets - Default and advanced networking - Oracle.Database network attachments - User-defined routes - VNet peering and connectivity - Network security groups - ExpressRoute and site-to-site connectivity |
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NEW QUESTION # 33
For Oracle Autonomous AI Database@Azure cross-region disaster recovery using Autonomous Data Guard, what is the approximate recovery point objective (RPO)?
Answer: D
Explanation:
For a cross-region Autonomous Data Guard standby , Oracle specifies a maximum possible data-loss objective of approximately 1 minute . Accordingly, the intended Recovery Point Objective is one minute.
Cross-region protection differs from a local Autonomous Data Guard standby because geographical distance makes fully synchronous zero-data-loss transport impractical for normal cross-region operation. Oracle therefore uses an asynchronous protection model that provides a bounded RPO while maintaining acceptable database performance.
A useful distinction is between RPO and RTO. RPO measures potential data loss, whereas RTO measures how long restoration of service is targeted to take. Oracle's current Autonomous AI Database Serverless SLO documentation continues to specify a 1-minute cross-region RPO . Current documentation has improved the cross-region RTO target to less than 10 minutes ; older material cited approximately 15 minutes. That RTO evolution does not affect the answer to this question because only RPO is being tested.
Zero data loss therefore applies to different protection scenarios, while five and fifteen minutes do not represent the documented cross-region RPO.
Study Guide reference: HA and DR - Autonomous Data Guard local and cross-region recovery objectives.
NEW QUESTION # 34
Your team is configuring a ZDM Physical Offline migration to Exadata on Oracle Database@Azure, but the target database host cannot read the RMAN backup files mounted on the Azure Files NFS share. What must you verify to resolve this storage access and permission issue?
Answer: B
Explanation:
ZDM Physical Offline migration can use an Azure Files NFS share as the common location for RMAN backup files. Because the NFS share is mounted on both the source and target database hosts, file ownership must be interpreted consistently on both systems.
NFS using Unix-style permissions identifies users primarily by their numeric UID rather than simply by the textual account name. Oracle's ZDM migration guidance explicitly states that the NFS-mounted path is readable by the target database user only when the source database user's UID matches the target database user's UID. Thus, two hosts can both have an account named oracle, but if those accounts have different numeric UIDs, files created by one host can appear to be owned by a different identity on the other.
Port 443 and SQL*Net listener port 1521 address network/API or database-client connectivity; neither resolves Unix file ownership on an NFS mount. Active Directory Domain Services authentication is likewise not the controlling permission model for the documented NFS migration workflow.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM Physical Offline migration, Azure Files NFS, RMAN backup staging and Linux UID permissions.
NEW QUESTION # 35
What is the allowed range of days for the automatic backup retention period when configuring an instance of Oracle Autonomous AI Database Serverless in Oracle AI Database@Azure?
Answer: B
Explanation:
Oracle Autonomous AI Database Serverless allows administrators to configure the automatic backup- retention window according to business recovery and compliance requirements. Oracle's current Autonomous AI Database provisioning documentation specifies an allowable automatic backup-retention range of 1 through 60 days .
Within that period, the database can be restored and recovered to an appropriate point in time, subject to the normal Autonomous AI Database backup and recovery mechanisms. A longer retention window provides a broader point-in-time recovery horizon but must also be considered alongside governance, compliance, and backup-protection requirements.
Oracle also supports Backup Retention Lock , which materially changes administrative behavior. When the retention period is locked, administrators cannot simply disable the lock or alter the protected retention setting through ordinary provisioning controls; Oracle Support intervention is required for those changes. This distinction is important for regulated workloads where backup immutability or protection from malicious administrative actions is required.
The alternatives beginning at seven days incorrectly raise the minimum, while the 30-day options incorrectly reduce the supported maximum. The complete configurable range is therefore 1-60 days .
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous AI Database automatic backups, point-in-time recovery, backup-retention configuration and retention lock.
NEW QUESTION # 36
To achieve continuous availability and automated database failover using Data Guard Fast-Start Failover (FSFO) across availability zones in Oracle AI Database@Azure, where is it recommended to host the client- side Observer process?
Answer: C
NEW QUESTION # 37
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: C,D,E
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 # 38
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