TroytecDumps offers verified, authentic Oracle 1z0-1147 Real Questions and answers, which are essential for passing the Oracle AI Database@Azure Architect Professional (1z0-1147). These questions and answers have been designed by Sitecore experts and can be easily downloaded on a PC, MacBook, or smartphone for comfortable and convenient learning.
| Section | Weight | Objectives |
|---|---|---|
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration technologies
|
| HA and DR with Oracle AI Database@Azure | 10% | - Disaster recovery and backup
|
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Subscription and onboarding
|
| Configure Oracle AI Database@Azure Networking | 15% | - Azure and Oracle networking
|
| Secure Oracle AI Database@Azure | 15% | - Data protection
|
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Database operations
|
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NEW QUESTION # 61
An administrator is preparing to migrate an on-premises database to Oracle Database@Azure and runs the zdmcli migrate database command with the -eval option. What is the outcome of executing this command with this specific option?
Answer: D
Explanation:
The -eval option invokes the evaluation workflow of Oracle Zero Downtime Migration rather than executing the production migration. Oracle specifically directs administrators to use ZDMCLI migrate database ... -eval to evaluate the migration process, including prerequisite checks, source/target connectivity verification, configuration validation, and applicable pre-migration assessment phases.
The resulting job is an evaluation job rather than a migration job that performs database movement. This distinction is reflected throughout ZDM command handling: ZDM can query evaluation jobs separately from actual migration jobs, and the evaluation workflow is intended to identify prerequisite or configuration failures before production data movement begins.
The option does not create a mock standby or execute a simulated Data Guard switchover. It also does not begin an offline migration and stop before the copy phase. CPAT may participate in migration-readiness assessment depending on ZDM version and command options, but -eval is not an installation command for CPAT.
Consequently, A correctly represents the effect: an EVAL-type workflow performs migration prechecks and validation without executing the actual migration.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM CLI, evaluation mode, migration validation and prechecks.
NEW QUESTION # 62
Your team is preparing to migrate an on-premises database to Autonomous Database Serverless on Oracle Database@Azure using ZDM and wants to ensure that the Data Pump dump files are staged entirely within the Microsoft Azure subscription. Which storage option should you configure in the ZDM response file as the data transfer medium to meet this requirement?
Answer: B
Explanation:
The correct staging medium is an Azure Files NFS share . Oracle's ZDM documentation for Autonomous AI Database Serverless on Oracle Database@Azure explicitly supports Azure Files as an NFS file-share source for Data Pump migration staging.
In the logical migration workflow, the NFS share is made accessible to the source database and attached to the Autonomous AI Database target. Data Pump export files can therefore be written to and read from the shared location without being staged in OCI storage. Oracle specifically documents mounting Azure Files NFSv4.x and exposing the path through a database directory for Data Pump operations.
OCI Object Storage and OCI File Storage would place the staging data within OCI, violating the explicit requirement that dump files remain in the Microsoft Azure subscription. Azure Blob Storage can be accessed by Autonomous Database through DBMS_CLOUD for supported object-storage workflows, but the standard ZDM NFS-based Data Pump staging mechanism described in this question uses a mounted filesystem rather than a direct Blob REST API.
Therefore, C is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM, Autonomous AI Database Serverless, Data Pump and Azure Files NFS.
NEW QUESTION # 63
Your organization runs its critical billing workloads on Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure. The security and operations teams require a unified dashboard in the Azure Portal to monitor Exadata VM cluster lifecycle management actions, database events, Exadata infrastructure health, and Data Guard replication logs. The solution must allow administrators to write Kusto Query Language (KQL) queries to correlate these logs with Azure application VM logs in real time without deploying custom agents inside the database VMs. As the multicloud architect, which configuration should you recommend to meet these requirements? Choose ONE.
Answer: C
Explanation:
The native architecture is to configure Azure Monitor diagnostic settings on the Oracle Exadata resources and route the selected log categories into an Azure Log Analytics workspace .
Oracle AI Database@Azure exposes relevant Exadata lifecycle and operational events through Azure diagnostic settings without requiring agents to be installed on Oracle-managed Exadata nodes. Once the telemetry reaches Log Analytics, administrators can query it using Kusto Query Language (KQL) and correlate the Oracle resource events with telemetry generated by Azure application infrastructure.
This architecture satisfies the requirement for centralized Azure-side observability while preserving the managed-service boundary of Exadata. It also integrates naturally with Azure dashboards, alerting, Microsoft Sentinel, and other Azure Monitor capabilities.
Using OCI Object Storage would introduce an unnecessary cross-platform telemetry pipeline. Oracle Enterprise Manager remains useful in broader Oracle management scenarios but is not required for this native Azure integration. Installing Azure Monitor Agent directly on Oracle-managed Exadata infrastructure is neither necessary nor the documented implementation pattern.
Therefore, A provides the supported integrated monitoring architecture.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor, diagnostic settings, Log Analytics, KQL and Exadata observability.
NEW QUESTION # 64
Which network port must be open and tested to ensure SQL*Net connectivity between the source database and the ZDM Service Host during a ZDM Physical Online migration to Exadata on Oracle Database@Azure?
Answer: A
Explanation:
The standard Oracle listener and SQL Net port used in the documented ZDM Physical Online migration workflow is TCP 1521 . Oracle's Oracle AI Database@Azure ZDM migration procedure explicitly instructs administrators to test SQL Net connectivity by running tnsping between source and target database hosts using port 1521.
This connectivity is required because ZDM and its underlying migration technologies must establish database- level communication for prechecks, configuration, target instantiation, Data Guard configuration, synchronization, and migration orchestration. If the source or target listener has been intentionally configured to use a nondefault port, that configured listener port must be permitted instead.
Port 22 is used for SSH administration between the ZDM Service Host and managed hosts. Port 443 is associated with HTTPS-based cloud service and API communication. Port 2049 is conventionally associated with NFS and is relevant when migration workflows use NFS-based staging, but it is not SQL*Net.
Therefore, D. 1521 is the correct answer.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM network prerequisites, SQL*Net and physical online migration.
NEW QUESTION # 65
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: A
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 # 66
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