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| Section | Weight | Objectives |
|---|---|---|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Exadata Infrastructure and VM Clusters - Patching and maintenance - Scaling and resource management - Quotas and service limits - Autonomous Database Serverless - Cloning and refreshing databases - Monitoring and database management - Container and Pluggable Databases |
| Configure Oracle AI Database@Azure Networking | 15% | - Oracle.Database network attachments - VNet peering and connectivity - ExpressRoute and site-to-site connectivity - Delegated subnets - DNS resolution and private connectivity - User-defined routes - Default and advanced networking - Network security groups |
| Secure Oracle AI Database@Azure | 15% | - Encryption in transit - Database and infrastructure access control - Azure and OCI separation of duties - Oracle-managed and customer-managed keys - Network isolation - Transparent Data Encryption - Auditing and logging |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - RMAN-based migration - Migration validation and cutover - Migration strategy selection - Oracle Data Pump - Data Guard and GoldenGate - Zero Downtime Migration |
| HA and DR with Oracle AI Database@Azure | 10% | - High availability architecture - RTO and RPO considerations - Point-in-time recovery - Availability zones and Exadata redundancy - Switchover and failover - Data Guard and Autonomous Data Guard - Backup and restore |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure regions and OCI availability zones - Oracle AI Database@Azure architecture - Roles and permissions - Microsoft Entra ID and OCI IAM federation - Azure subscription and OCI tenancy linking - Azure Marketplace purchase and onboarding |
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NEW QUESTION # 102
Where is a long-term retention backup in the Oracle Database Autonomous Recovery Service automatically moved after its first 24 hours of storage?
Answer: A
Explanation:
Oracle Database Autonomous Recovery Service supports Long-Term Retention (LTR) backups for organizations that need to preserve full database backups for compliance, regulatory, legal, or business requirements. The correct destination is the OCI Object Storage Infrequent Access tier .
The question source specifies that the LTR backup initially remains in the standard storage tier and transitions after the first 24 hours to Infrequent Access storage for the remainder of its retention period. Oracle's Recovery Service documentation independently confirms that long-term retention backups are stored in the Object Storage Infrequent Access tier and can be retained for periods extending up to ten years.
The Infrequent Access tier is appropriate because LTR backups are retained for extended periods but are generally restored less frequently than operational backups. Archive Storage is not the managed destination used by Recovery Service for this workflow. Azure Archive Blob Storage is likewise not the Oracle-managed OCI storage tier identified for these backups, and there is no "OCI Legacy Backup" storage tier.
Therefore, D is correct.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous Recovery Service, LTR backups, retention and storage lifecycle.
NEW QUESTION # 103
Which two key management options are available for protecting transparent data encryption (TDE) master keys on Exadata databases in Oracle AI Database@Azure? (Choose two.)
Answer: B,D
Explanation:
Oracle AI Database@Azure supports two broad TDE master-key management approaches: Oracle-managed keys and customer-managed keys .
With the default Oracle-managed model, the TDE master encryption key is generated and stored in an Oracle Wallet within the database environment. Oracle manages key generation, storage, rotation, backup, and restoration activities associated with this model.
For customer-controlled key management, Oracle supports several external key stores. For Exadata Database Service on Dedicated Infrastructure, these include Azure Key Vault , OCI Vault, and Oracle Key Vault.
Azure Key Vault integration is particularly useful for organizations that want their database encryption-key governance aligned with existing Azure key-management, auditing, and separation-of-duties practices.
AWS KMS and Google Cloud KMS are not native key-management choices for an Oracle AI Database@Azure Exadata deployment.
Therefore, the two correct selections from this answer set are A and D .
Study Guide reference: Secure Oracle AI Database@Azure - Transparent Data Encryption, Oracle Wallet, customer-managed keys and Azure Key Vault.
NEW QUESTION # 104
A multicloud database administrator is deploying an Oracle Exadata VM Cluster in Oracle AI Database@Azure and has configured a client delegated subnet with the CIDR range 10.0.0.0/24. The administrator needs to verify which specific IP addresses within this delegated subnet CIDR range are automatically reserved by the system for database networking services. Based on the official network design requirements, which IP address ranges are reserved for these platform networking services? Choose ONE.
Answer: B
Explanation:
Oracle AI Database@Azure has specific client-subnet IP consumption requirements that must be considered during capacity planning. For the delegated client subnet, 13 IP addresses are reserved for networking services regardless of the number of VM Clusters deployed in that subnet .
Microsoft's Oracle AI Database@Azure networking documentation defines these 13 addresses as the first four addresses, the ninth through sixteenth addresses, and the final address of the subnet. Applied to
10.0.0.0/24, the reserved ranges are therefore 10.0.0.0-10.0.0.3, 10.0.0.8-10.0.0.15, and 10.0.0.255.
These platform reservations must be counted in addition to addresses needed for VM nodes and SCAN addresses. For example, every VM consumes multiple client-network addresses, and each VM Cluster requires SCAN addresses. Failing to account for the reserved block can therefore result in insufficient address capacity even when a subnet initially appears large enough.
Only option B precisely represents the documented reserved address positions.
Study Guide reference: Configure Oracle AI Database@Azure Networking - delegated subnet planning, client subnet sizing, reserved networking-service IP addresses and Exadata VM Cluster capacity.
NEW QUESTION # 105
Your organization is migrating a critical core banking system from an on-premises Oracle Database 12c (12.1.0.2) on IBM AIX to Oracle Exadata Database Service on Dedicated Infrastructure (ExaDB-D) on Oracle Database@Azure. The target database on ExaDB-D must be provisioned on Oracle Database 19c, requiring a cross-platform and cross-version migration. Because this is a 24/7 billing system, the business mandates that the application downtime must be limited to only the few minutes required for the final switchover. The migration architect requires a workflow that performs initial schema loading via Data Pump and utilizes real-time transaction replication to keep the target in sync until switchover. As the migration architect, which Zero Downtime Migration (ZDM) workflow satisfies all of these requirements? Choose ONE.
Answer: A
Explanation:
The required workflow is ZDM Logical Online Migration . The defining requirements are cross-platform migration, database-version change, Data Pump initial loading, ongoing transaction replication, and minimal cutover downtime.
ZDM Logical Online uses Oracle Data Pump to establish the initial target data set and Oracle GoldenGate to capture and replicate transactions occurring on the source while the bulk migration is underway. Once the target is synchronized, ZDM coordinates the final cutover, reducing application interruption to the controlled switchover period.
This logical model is appropriate for migrations such as IBM AIX to Linux-based Exadata because logical migration is not dependent on source and target having identical physical database-file formats or endian architectures. It also accommodates supported cross-version migrations.
Logical Offline also uses Data Pump but does not maintain continuous GoldenGate synchronization and therefore requires substantially greater application downtime. Physical migration uses RMAN/Data Guard and is constrained by physical compatibility requirements, making it unsuitable for the described cross-platform transformation.
Thus, B is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM Logical Online, Data Pump and GoldenGate.
NEW QUESTION # 106
A financial services firm is migrating its legacy core banking application to Microsoft Azure to leverage Azure's extensive app modernization and containerization ecosystem. However, the firm's strict service-level agreements (SLAs) for transactional throughput and database availability require keeping the system on Oracle Exadata Database Service. The database must remain in OCI to leverage native OCI management, while the containerized application microservices must be hosted on Azure. To minimize latency and egress costs, the architect must choose the OCI-recommended multicloud use-case pattern that supports running the application front-end and the relational database on different public clouds connected via private, high-speed links. Choose ONE.
Answer: C
Explanation:
The scenario directly matches Oracle's documented multicloud use case of running applications in one cloud and databases in another , also described here as an application and database split-stack architecture .
This design allows an organization to place its application tier in the cloud offering the preferred application- development ecosystem while retaining the database on the cloud platform offering the required database capabilities. In this case, Azure provides containerization and application modernization services, while OCI continues hosting Oracle Exadata Database Service for high transaction throughput, database availability, and Oracle-native operational control.
Private, high-bandwidth intercloud connectivity is critical because application-to-database latency directly affects transaction response time. Keeping data movement predictable and minimizing unnecessary public- internet routing also improves security and can reduce data-transfer overhead.
Horizontal workload distribution instead spreads workloads across clouds rather than separating application and database tiers. Production/development separation addresses lifecycle environments, while SaaS/ERP integration addresses data interoperability rather than a transactional split-stack application.
Therefore, C is the correct architectural pattern.
Study Guide reference: Introduction to Multicloud - Running Applications in One Cloud and Databases in Another.
NEW QUESTION # 107
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