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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Topic 2: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Exadata infrastructure and clusters - Provision Base Database Service - Create and configure Azure delegated subnet - Backup and restore processes - Provision Exascale infrastructure and services - Configure monitoring and observability - Provision Autonomous AI Database |
| Topic 3: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Exadata - ZDM workflows to Autonomous AI Database |
| Topic 4: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle Database services in Oracle AI Database@Azure - Understand purchase options - Explain Oracle AI Database@Azure and its architecture - Configure prerequisites for onboarding |
| Topic 5: Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Topic 6: High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Topic 7: Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Explain networking concepts - Describe supported network topologies |
>> 1z0-1147 Interactive Questions <<
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NEW QUESTION # 95
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: A
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 # 96
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 # 97
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: C,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 # 98
When using Zero Downtime Migration (ZDM) to migrate a schema to an Autonomous Database target on Oracle Database@Azure, what is the default target tablespace mapping behavior?
Answer: D
Explanation:
For migrations to Autonomous Database Shared/Serverless , ZDM applies automatic tablespace remapping because users cannot freely reproduce arbitrary source tablespaces in the same manner as on a customer- managed Oracle Database.
Oracle's ZDM documentation states that for an Autonomous Database Shared Infrastructure target, source tablespaces are automatically remapped to the predefined DATA tablespace by default. In FULL-mode migration to Autonomous Database Serverless, Oracle likewise specifies DATA as the default remap target because general user-created tablespace creation is not supported in that migration model.
This prevents source schema objects from being imported into unavailable tablespaces. SYSTEM and SYSAUX are Oracle-maintained dictionary tablespaces and must not be used as ordinary user-data destinations. USER_DATA is not the standard default target identified by ZDM. Preserving every source tablespace name is also incompatible with the default Autonomous Serverless storage model.
ZDM can support explicit metadata remapping where appropriate, but absent such an override, the default is DATA.
Therefore, D is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM logical migration, Data Pump and automatic tablespace remapping.
NEW QUESTION # 99
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: A
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 # 100
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