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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HA and DR with Oracle AI Database@Azure | 10% | - High availability
|
| Topic 2: Configure Oracle AI Database@Azure Networking | 15% | - Azure and Oracle networking
|
| Topic 3: Secure Oracle AI Database@Azure | 15% | - Data protection
|
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Database operations
|
| Topic 5: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration technologies
|
| Topic 6: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Oracle AI Database@Azure architecture
|
| Topic 7: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
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Our Oracle Exam Questions greatly help Oracle AI Database@Azure Architect Professional (1z0-1147) exam candidates in their preparation. Our Oracle AI Database@Azure Architect Professional (1z0-1147) practice questions are designed and verified by prominent and qualified Oracle AI Database@Azure Architect Professional (1z0-1147) exam dumps preparation experts. The qualified Oracle AI Database@Azure Architect Professional (1z0-1147) exam questions preparation experts strive hard and put all their expertise to ensure the top standard and relevancy of 1z0-1147 exam dumps topics.
NEW QUESTION # 42
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: C
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 # 43
You have enabled automatic backups on an Autonomous AI Database with a 30-day retention period. You subsequently terminate the Autonomous Container Database. What happens to the previously retained automatic backups?
Answer: B
Explanation:
Oracle Autonomous Container Database backup configuration includes an explicit backup-retention policy on termination . Administrators can select one of two supported behaviors: retain backups according to the normal configured backup-retention period, or retain them for 72 hours after termination and then delete them .
Oracle documentation identifies these options as RETAIN_PER_RETENTION_WINDOW and RETAIN_FOR_72_HOURS. The latter is the default in relevant API/Terraform configuration. Therefore, terminating an Autonomous Container Database does not inherently result in the immediate deletion of all automatic backups. Their post-termination lifetime is governed by the configured termination-retention policy.
Standard automatic backups are also not automatically converted into Long-Term Retention backups when the database is terminated. LTR backups have their own lifecycle and are explicitly excluded from the ordinary ACD termination-retention setting. No automatic export to Azure Blob Storage occurs as part of ACD termination.
Thus, B correctly reflects Oracle's documented post-termination backup behavior.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Container Database automatic backups, termination and retention policy.
NEW QUESTION # 44
Which two database services are officially supported and available for deployment on optimized hardware in Oracle AI Database@Azure? (Choose two.)
Answer: A,D
Explanation:
Among the choices presented, Oracle Exadata Database Service on Dedicated Infrastructure and Oracle Autonomous AI Database are both native Oracle AI Database@Azure database services designed to run on Oracle-optimized database infrastructure located inside Azure data centers. Exadata Database Service provides customer-managed Oracle Database environments on purpose-built Exadata hardware, with RAC, Data Guard, elastic compute, and high-performance storage capabilities. Autonomous AI Database provides a fully managed database model in which Oracle automates provisioning, patching, tuning, backup operations, and resource scaling.
Oracle's current service portfolio has expanded further and now also includes Exadata Database Service on Exascale Infrastructure, Base Database Service, Autonomous AI Database on Dedicated Exadata Infrastructure, GoldenGate, and Autonomous Recovery Service. However, those services are not alternatives in this question. Oracle NoSQL Database Cloud Service is not one of the listed Oracle AI Database@Azure database offerings, while a generic Oracle Database Standard Edition VM running on Azure IaaS is not equivalent to a native Oracle AI Database@Azure service.
Therefore, B and C are correct. Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - supported database services and optimized Oracle infrastructure.
NEW QUESTION # 45
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 # 46
You want to temporarily minimize compute license billing costs for an idle guest Exadata VM Cluster on Oracle AI Database@Azure without destroying the virtual machines or losing database storage. What is the minimum number of OCPUs per database node you can scale the cluster down to in order to achieve this state?
Answer: A
Explanation:
Oracle Exadata VM Cluster compute resources can be scaled down to zero OCPUs when the objective is to suspend compute consumption without deleting the VM Cluster definition or its persistent database storage.
Oracle explicitly notes that simply stopping VMs does not stop the relevant compute billing; to stop VM Cluster compute-related billing, the enabled OCPU-or ECPU on applicable generations-allocation must be reduced to zero.
At zero enabled compute, the guest VMs are shut down while the infrastructure configuration and persistent database storage remain available. The administrator can later restore service by scaling the enabled compute allocation back above zero. This makes the feature useful for development, testing, seasonal, or otherwise intermittent environments where deleting and recreating the database environment would be operationally undesirable.
Values of one, two, or four OCPUs still represent allocated active compute and therefore do not achieve the requested zero-compute billing state.
On Exascale Infrastructure, Oracle documents the equivalent ECPU behavior explicitly: enabled ECPUs can be scaled to zero, shutting down VM Cluster VMs and stopping enabled-ECPU usage billing.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - VM Cluster scaling, OCPU/ECPU allocation and cost control.
NEW QUESTION # 47
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