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Oracle 1z1-1147 Exam Syllabus Topics:

SectionWeightObjectives
Configure Oracle AI Database@Azure Networking15%- Describe supported network topologies
- Configure DNS
- Explain networking concepts
Secure Oracle AI Database@Azure Deployments15%- Security configurations and best practices
High Availability and Disaster Recovery10%- Implement HA and DR configurations
Migrate Oracle Databases to Oracle AI Database@Azure15%- ZDM workflows to Autonomous AI Database
- Understand Oracle Zero Downtime Migration (ZDM)
- ZDM workflows to Exadata
Oracle AI Database@Azure Architecture and Onboarding20%- Explain Oracle AI Database@Azure and its architecture
- Configure prerequisites for onboarding
- Understand purchase options
- Explain Oracle Database services in Oracle AI Database@Azure
Provision and Operate Oracle AI Database@Azure Resources20%- Create and configure Azure delegated subnet
- Configure monitoring and observability
- Backup and restore processes
- Provision Exadata infrastructure and clusters
- Provision Base Database Service
- Provision Exascale infrastructure and services
- Provision Autonomous AI Database
Introduction to Multicloud5%- Explain common multicloud use cases and their implementation in OCI
- Explain multicloud and its benefits

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Oracle AI Database@Azure Architect Professional Sample Questions (Q71-Q76):

NEW QUESTION # 71
What are the core ECPU scaling increments required when configuring the enabled ECPU count per virtual machine for an Exadata VM Cluster on Exascale Infrastructure?

Answer: C

Explanation:
Oracle Exadata Database Service on Exascale Infrastructure uses the Elastic Compute Processing Unit (ECPU) model for allocating database-server processing capacity. Oracle's Exascale technical architecture specifies that a VM requires at least eight enabled ECPUs for initial VM Cluster provisioning and that vertical compute scaling is performed in increments of four ECPUs .
This model provides substantially finer-grained scaling than traditional fixed Exadata infrastructure shapes while maintaining predictable resource allocation across the underlying Exascale compute pool.
Administrators can increase enabled ECPUs as workload demand grows, and Exascale also supports reserved ECPU concepts that allow capacity to be physically reserved for future growth. The distinction between enabled and reserved capacity is operationally important: enabled ECPUs are active compute resources used by the VM, whereas reserved capacity can facilitate future scale-up.
An increment of eight would unnecessarily double the required scaling step; one- or two-ECPU increments are not the documented unit for Exadata VM scaling on Exascale Infrastructure. The correct granularity is therefore four ECPUs .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata Database Service on Exascale Infrastructure, ECPU compute model, VM Cluster provisioning and scaling.


NEW QUESTION # 72
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

Explanation:
The Data Guard Observer is an independent process used by Fast-Start Failover to monitor the primary and standby databases and determine whether an automatic failover should occur. Because its independence directly affects the reliability of the failover decision, it should not share the same failure domain as either database.
For an Oracle AI Database@Azure architecture spanning availability zones, placing the Observer on a separate Azure VM in another availability zone provides appropriate fault isolation. If the primary AZ fails, the Observer remains available to verify the failure and initiate the transition to the standby. Hosting the Observer directly on the primary database node would cause it to disappear with a primary-site outage.
Hosting it on the standby similarly creates an undesirable dependency on the standby environment.
The Observer is an external Data Guard Broker process; it does not belong inside Oracle's multicloud control- plane Parent Site. For stronger resilience, Oracle Data Guard can also support multiple observers in appropriate configurations.
Therefore, D represents the recommended architecture.
Study Guide reference: HA and DR with Oracle AI Database@Azure - Data Guard Broker, FSFO and Observer placement.


NEW QUESTION # 73
You have configured automatic backups for an Exadata Database using Object Storage with a 30-day retention period. A new compliance requirement now mandates that full backups be retained for up to 10 years with immutability. What should you do?

Answer: D

Explanation:
Oracle Database Autonomous Recovery Service provides the specific capabilities required for multi-year database backup retention combined with immutability .
Oracle's Long-Term Retention capability allows a full database backup to be retained for up to ten years .
This addresses regulatory requirements that exceed ordinary operational backup-retention windows. Recovery Service additionally supports Retention Lock , which prevents protected backups from being modified or deleted before the configured retention period expires. This provides a database-aware immutability mechanism suitable for ransomware, malicious-administrator, and compliance-protection scenarios.
Merely increasing a standard Object Storage backup retention value does not provide the same Recovery Service lifecycle, recoverability validation, protection-policy model, or database-specific retention locking.
NFS likewise does not introduce a managed ten-year immutable recovery framework. Manual on-demand backups also fail to provide policy-enforced retention and introduce unnecessary operational risk.
The combination of Recovery Service, LTR, and Retention Lock directly addresses both requirements in the question: ten-year retention and immutability .
Therefore, B is correct.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Recovery Service, Long- Term Retention and Retention Lock.


NEW QUESTION # 74
Which two are documented supported network topologies for connecting applications to Oracle AI Database@Azure? (Choose two.)

Answer: C,D


NEW QUESTION # 75
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 # 76
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