The Free4Torrent is committed to helping the Oracle Oracle AI Database@Azure Architect Professional exam candidates in the certification exam preparation and success journey. To achieve this objective the Free4Torrent is offering valid, updated, and verified Oracle 1z0-1147 Exam Questions in three different formats. These three different Oracle Oracle AI Database@Azure Architect Professional exam dumps types are Oracle PDF Questions Links to an external site.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Oracle AI Database@Azure architecture
|
| Topic 2: Configure Oracle AI Database@Azure Networking | 15% | - Network security and connectivity
|
| Topic 3: Secure Oracle AI Database@Azure | 15% | - Security and access control
|
| Topic 4: HA and DR with Oracle AI Database@Azure | 10% | - High availability
|
| Topic 5: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration planning
|
| Topic 6: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Database operations
|
| Topic 7: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
>> Certification Oracle 1z0-1147 Test Questions <<
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NEW QUESTION # 23
Which two are key architectural considerations that must be evaluated when designing a multicloud solution according to the Oracle Cloud Infrastructure (OCI) Multicloud Architecture Framework? (Choose two.)
Answer: C,D
Explanation:
Oracle's Multicloud Architecture Framework emphasizes architectural considerations that arise because workloads, applications, data, identities, and operational responsibilities span multiple cloud providers. Two major areas are network latency/data movement and security, identity, and operations management .
Cross-cloud network latency can directly affect application response time, database performance, replication behavior, and transaction processing. Data movement can also introduce throughput constraints and cost considerations. Oracle therefore recommends workload placement and private connectivity strategies that minimize unnecessary cross-cloud distance and traffic.
Security and operations become similarly important because each cloud provider has its own IAM, monitoring, automation, and administrative models. Oracle recommends consistent identity and access policies, unified visibility, standardized automation, and common operational practices to avoid fragmented governance or management silos.
Hardware manufacturing origin and OCI hypervisor patch schedules do not represent the principal multicloud architectural design considerations described by the framework. Hypervisor maintenance is primarily a provider operational responsibility.
Therefore, B and D align directly with Oracle's documented multicloud design pillars.
Study Guide reference: Introduction to Multicloud - latency, data movement, Cloud Security, Cloud Operations, identity integration and operational standardization.
NEW QUESTION # 24
Which Recovery Manager (RMAN) method is recommended by Oracle Maximum Availability Architecture (MAA) and used by Zero Downtime Migration (ZDM) when direct data transfer is enabled?
Answer: A
Explanation:
For ZDM physical online migrations using direct data transfer , Oracle's Maximum Availability Architecture pattern uses RMAN's Restore From Service capability. Rather than first creating backup pieces in a staging location, transporting them, and then restoring them on the target, RMAN restores the target database directly across the network from the source service.
This design reduces intermediate storage requirements and simplifies the migration pipeline. Once the target database has been instantiated, ZDM automatically configures Oracle Data Guard and uses redo transport to maintain synchronization until the planned switchover. The combination of Restore From Service and Data Guard is the central technical pattern Oracle documents for physical online migration to Exadata Database Service on Oracle AI Database@Azure.
Although DUPLICATE ... FROM ACTIVE DATABASE is a legitimate RMAN cloning capability in other contexts, it is not the named method documented for this ZDM direct-data-transfer workflow. Compressed backup-set streaming and incremental image-copy pushing also imply different backup/staging mechanisms.
Therefore, Restore From Service is the MAA-aligned RMAN method represented by the scenario.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - MAA, ZDM Physical Online migration, RMAN direct data transfer and Restore From Service.
NEW QUESTION # 25
Your organization operates a 20 TB on-premises Oracle Database 19c on Oracle ASM storage that must be migrated to Oracle Exadata Database Service on Dedicated Infrastructure (ExaDB-D) on Oracle AI Database@Azure. The application owner requires that database and application downtime be limited to only the time needed to apply the final increment of redo before switchover. The source and target must remain on the exact same Oracle Database version and character set, and the migration must use RMAN-based backup and restore rather than a logical export/import. As the migration architect, you must select the ZDM workflow that satisfies all of these requirements. Choose ONE.
Answer: D
Explanation:
The requirements map directly to ZDM Physical Online Migration . A physical workflow uses RMAN- based database instantiation rather than Data Pump logical export/import. For online migration, ZDM combines physical target creation with Oracle Data Guard synchronization so redo generated after the initial database copy continues to be transported and applied to the target.
Because physical migration preserves the database at the block/file level, source and target compatibility requirements-including database version, platform characteristics, and character-set considerations-are more restrictive than with logical migration. The scenario explicitly states that the version and character set remain identical, which makes the physical workflow appropriate.
The online variant minimizes downtime because users continue operating against the source while target synchronization proceeds. Application interruption is concentrated around the final synchronization and switchover.
Logical Online instead uses Data Pump and GoldenGate. Physical Offline satisfies the RMAN requirement but introduces substantially longer downtime because the source cannot remain operational throughout migration.
Therefore, B is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM Physical Online, RMAN and Data Guard.
NEW QUESTION # 26
What is the minimum number of ECPUs required per VM to provision a VM cluster on Oracle Exadata Database Service on Exascale Infrastructure?
Answer: A
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 # 27
When monitoring metrics for Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure, which specific metric label must you select in the Azure Portal to view the performance of individual Pluggable Databases (PDBs)?
Answer: B
Explanation:
Oracle AI Database@Azure exposes database and infrastructure metrics through Azure Monitor, but similarly named metrics correspond to different levels of the Oracle resource hierarchy. Correct interpretation of the label is therefore essential.
Oracle's monitoring documentation explicitly differentiates the namespaces. OCI Database Cluster represents VM-cluster-level measurements. OCI Database represents Container Database (CDB) metrics.
Oracle OCI Database identifies Pluggable Database-level metrics. Consequently, to examine CPU utilization for an individual PDB, the administrator selects CPU Utilization (Oracle OCI Database) .
This distinction is particularly important for consolidated Exadata environments. A cluster-level CPU metric can show overall infrastructure utilization but cannot determine which PDB is responsible for a workload spike. Similarly, CDB-level utilization aggregates activity at the container-database layer. The Oracle OCI Database-labelled metric enables the administrator to work at the PDB scope needed for tenant or application- specific performance analysis.
The Azure Monitor integration therefore provides several metrics with superficially similar names, but their resource dimensions are deliberately different.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor integration, Exadata monitoring, VM Cluster/CDB/PDB metric scopes and operational observability.
NEW QUESTION # 28
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