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| Section | Weight | Objectives |
|---|---|---|
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Zero Downtime Migration - Migration strategy selection - RMAN-based migration - Migration validation and cutover - Data Guard and GoldenGate - Oracle Data Pump |
| Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Microsoft Entra ID and OCI IAM federation - Azure subscription and OCI tenancy linking - Azure regions and OCI availability zones - Oracle AI Database@Azure architecture - Azure Marketplace purchase and onboarding - Roles and permissions |
| Configure Oracle AI Database@Azure Networking | 15% | - DNS resolution and private connectivity - Default and advanced networking - ExpressRoute and site-to-site connectivity - Network security groups - VNet peering and connectivity - Delegated subnets - Oracle.Database network attachments - User-defined routes |
| Secure Oracle AI Database@Azure | 15% | - Database and infrastructure access control - Auditing and logging - Transparent Data Encryption - Azure and OCI separation of duties - Oracle-managed and customer-managed keys - Encryption in transit - Network isolation |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Scaling and resource management - Quotas and service limits - Autonomous Database Serverless - Patching and maintenance - Exadata Infrastructure and VM Clusters - Monitoring and database management - Cloning and refreshing databases - Container and Pluggable Databases |
| HA and DR with Oracle AI Database@Azure | 10% | - RTO and RPO considerations - Backup and restore - Data Guard and Autonomous Data Guard - Switchover and failover - Point-in-time recovery - High availability architecture - Availability zones and Exadata redundancy |
>> Oracle 1z1-1147 Valid Exam Answers <<
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NEW QUESTION # 15
Which three are valid destination types that can be configured when setting up Azure Monitor diagnostic settings for Exadata VM Clusters in Oracle AI Database@Azure? (Choose three.)
Answer: A,C,D
Explanation:
Oracle AI Database@Azure integrates its operational telemetry with Azure Monitor diagnostic settings so organizations can apply existing Azure observability, compliance, and SIEM architectures to Oracle database infrastructure.
Three standard destinations are relevant here. An Azure Log Analytics workspace receives telemetry for centralized querying, dashboarding, alerting, and Kusto Query Language analysis. An Azure Storage account can archive logs or metrics for retention, compliance, or later processing. Azure Event Hubs provides a streaming destination for forwarding telemetry to SIEM products, custom consumers, event-processing pipelines, or other downstream platforms.
Oracle's Oracle AI Database@Azure monitoring documentation specifically lists Log Analytics Workspace, Storage Account, and Event Hub among the available Azure Monitor diagnostic-routing destinations. Oracle Enterprise Manager can monitor Oracle environments but is not an Azure Monitor diagnostic-settings destination. OCI Object Storage is likewise not selected directly as a destination from the Azure diagnostic- settings workflow. Azure SQL Database is a database service rather than a supported diagnostic sink.
Therefore, the three correct selections are A, C, and D .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - monitoring, Azure diagnostic settings, Log Analytics, Storage accounts and Event Hubs.
NEW QUESTION # 16
You have successfully deployed a two-node Exadata VM Cluster on Oracle AI Database@Azure to provide hardware-level high availability using Oracle RAC. What client-side feature should you implement at the application layer to mask database node failures and transparently replay in-flight uncommitted transactions without throwing errors to end users?
Answer: C
Explanation:
Oracle Application Continuity (AC) is the application-availability technology designed to mask recoverable database outages and replay database requests transparently after a connection is re-established.
Oracle RAC provides database-service continuity when one database instance or node becomes unavailable, but an application may still have active sessions or in-flight work on the failed instance. Application Continuity works with Oracle's high-availability connection infrastructure, database services, FAN, Transaction Guard, and supported clients to reconnect to an available instance and replay eligible database requests. This significantly reduces the application errors that would otherwise be exposed during node failure or planned maintenance.
Fast-Start Failover and Data Guard Broker operate at the Data Guard database-role and disaster-recovery level. They manage primary/standby transitions rather than transparently replaying an individual application session after a RAC node failure. Transparent Data Encryption protects database data at rest and has no role in request replay or failure masking.
Therefore, C. Oracle Application Continuity is correct.
Study Guide reference: HA and DR with Oracle AI Database@Azure - RAC application availability, FAN, Transaction Guard and Application Continuity.
NEW QUESTION # 17
Which two database services are officially supported and available for deployment on optimized hardware in Oracle AI Database@Azure? (Choose two.)
Answer: B,C
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 # 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: D
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
Which two Oracle high availability and data replication technologies does Oracle Zero Downtime Migration (ZDM) orchestrate when performing online migrations, both physical and logical, to Oracle Database@Azure? (Choose two.)
Answer: A,B
Explanation:
Oracle Zero Downtime Migration is Oracle Maximum Availability Architecture's recommended orchestration framework for moving Oracle databases while minimizing production interruption. For physical online migration , ZDM uses Oracle Data Guard. The target database is instantiated as a physical standby, redo generated on the source is transported and applied to the target, and ZDM coordinates the eventual switchover. Oracle documentation for Oracle Database@Azure specifically states that physical online migration uses direct data transfer, Restore From Service, and Oracle Data Guard to keep source and target synchronized.
For logical online migration , the underlying synchronization technology is Oracle GoldenGate. Oracle Data Pump provides the initial logical export/import, after which GoldenGate captures ongoing source transactions and applies them to the target until cutover. This workflow can also accommodate scenarios involving different database versions or platforms.
Oracle Sharding is an application/data-distribution architecture rather than ZDM's replication mechanism. Far Sync is a Data Guard component for specialized zero-data-loss configurations but is not the primary technology identified for ZDM migration orchestration.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - ZDM physical online migration, logical online migration, Data Guard, GoldenGate, Data Pump.
NEW QUESTION # 20
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