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Oracle 1z0-1147 Exam Syllabus Topics:

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

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1z0-1147 Reliable Exam Vce | 1z0-1147 Exam Answers

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Oracle AI Database@Azure Architect Professional Sample Questions (Q16-Q21):

NEW QUESTION # 16
Your database administrator enabled a backup retention lock on an Autonomous AI Database in Oracle AI Database@Azure but now needs to reduce the retention period. What must you do to disable this retention lock or alter the retention period?

Answer: B

Explanation:
Backup Retention Lock is a protection mechanism intended to prevent administrators or compromised credentials from prematurely reducing the recoverability window of Autonomous AI Database backups. Once the lock is established, normal administrative interfaces cannot simply disable it or reduce the protected backup-retention period.
Oracle's Autonomous AI Database documentation explicitly states that after the backup retention lock has been set, the option cannot be disabled or the retention period changed through ordinary database administration. To disable the lock or modify the locked retention setting, the administrator must file a Service Request with Oracle Cloud Support .
This design provides an administrative separation between ordinary database management and an action that could materially weaken backup protection. Changing an Azure Key Vault key has no relationship to the retention-policy lock. An SQL ALTER DATABASE command cannot override a service-level backup governance control, and the Azure Portal does not expose a supported bypass to reduce the locked period.
Accordingly, A is the only supported escalation path in the choices.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous AI Database backup protection, retention policy, retention lock and operational security controls.


NEW QUESTION # 17
If a customer does not configure a customer-managed key, where does Oracle AI Database@Azure store the default TDE master encryption key for an Exadata database?

Answer: C

Explanation:
The default encryption-key model for an Exadata database on Oracle AI Database@Azure is Oracle- Managed Keys (OMK) . Under this model, Oracle automatically generates the Transparent Data Encryption master encryption key and stores it in an Oracle Wallet secured within the database environment.
Oracle manages the complete lifecycle of this default key, including generation, secure storage, rotation, backup, and restoration. No additional customer-side key-management infrastructure is required.
OCI Vault, Oracle Key Vault, and Azure Key Vault represent customer-managed key alternatives. When an organization selects one of these mechanisms, the TDE master key is managed outside the local Oracle Wallet, enabling centralized customer control, auditing, rotation policy, and separation of duties. However, none is the default unless the customer explicitly configures a customer-managed key architecture.
Oracle's current security documentation explicitly identifies Oracle Wallet as the default encryption-key setting for Exadata Database Service on Oracle AI Database@Azure.
Therefore, C. Oracle Wallet is correct.
Study Guide reference: Secure Oracle AI Database@Azure - TDE, Oracle-managed keys and Oracle Wallet.


NEW QUESTION # 18
What is the minimum storage capacity that must be allocated when creating a new Exadata Database Storage Vault for Exascale Infrastructure in Oracle AI Database@Azure?

Answer: A

Explanation:
Oracle Exadata Database Service on Exascale Infrastructure separates database storage into Exascale Database Storage Vaults . Oracle documents the minimum billed Database Storage Vault capacity as 300 GB per VM Cluster .
The minimum is composed of storage required for system use and the first database. Oracle's current Exascale capacity table allocates 50 GB for system-related usage, including images stored in ACFS, and 250 GB for database use when provisioning the first database. Together, these produce the 300 GB minimum vault capacity.
This value must not be confused with VM file-system storage. Current Exascale guidance specifies a separate minimum VM file-system capacity that varies by database version-for example, 220 GB for a 26ai VM configuration. That explains why 220 GB appears plausible but is incorrect for the Database Storage Vault asked about here.
The vault can subsequently be scaled substantially beyond the minimum; Oracle documents VM Cluster Exascale Vault storage scaling up to 100 TB.
Therefore, the correct answer is D. 300 GB .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata Database Service on Exascale Infrastructure, Database Storage Vault sizing and capacity.


NEW QUESTION # 19
You have selected the custom FQDN option and specified your own domain during Exadata VM Cluster provisioning in Oracle AI Database@Azure. What must you do afterward to ensure name resolution works from your production DNS zone?

Answer: D

Explanation:
When an architect selects Custom DNS/FQDN , the database cluster is created using the organization's chosen DNS namespace instead of relying exclusively on Oracle's default automatically managed oraclevcn.
com private-zone behavior.
The important operational requirement is that application clients must be able to resolve the Exadata cluster's connection endpoints. That includes the Single Client Access Name (SCAN) and the relevant Virtual IP (VIP) records. Because the organization controls the custom production DNS namespace, those records must be represented in that DNS environment so client applications can resolve the cluster correctly.
Disabling OCI private DNS would damage internal Oracle name resolution rather than extending resolution to the enterprise DNS system. Waiting for Oracle to create a default oraclevcn.com zone does not satisfy a custom-domain deployment, and reverting to default DNS would defeat the original custom-FQDN design.
Therefore, the required action is to manually duplicate or publish the SCAN and VIP records in the production DNS zone .
Study Guide reference: Configure Oracle AI Database@Azure Networking - custom FQDN, SCAN
/VIP records and enterprise DNS integration.


NEW QUESTION # 20
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: B

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 # 21
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