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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Migration planning
|
| Topic 2: Configure Oracle AI Database@Azure Networking | 15% | - Azure and Oracle networking
|
| Topic 3: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure
|
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provisioning database infrastructure
|
| Topic 5: Secure Oracle AI Database@Azure | 15% | - Data protection
|
| Topic 6: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Subscription and onboarding
|
| Topic 7: HA and DR with Oracle AI Database@Azure | 10% | - High availability
|
長年のマーケティングを通じて、当社の1z1-1147最新の認定ガイドは多くのお客様のサポートを獲得しています。最も明白なデータは、当社の製品が毎年徐々に増加していることであり、当社の製品開発のおかげでこのような大きな成功を達成するための大きな努力です。まず、資料の更新を研究する上で非常に良い仕事をしました。さらに、1z1-1147の実際の1z1-1147学習ガイド教材の品質は、教師によって厳密に管理されています。だから、私たちは正しい選択だと信じています。1z1-1147学習教材について質問がある場合は、ご相談ください。
質問 # 48
An application team is deploying a cloud-native microservices application on Azure that has highly variable, unpredictable workloads and requires database auto-scaling with zero database administration effort. Which Oracle AI Database@Azure service should the architect provision to satisfy these requirements?
正解：B
解説：
Oracle Autonomous AI Database is specifically designed for workloads where elasticity and minimal administrative overhead are primary requirements. Oracle describes it as a fully autonomous, self-governing database service that handles provisioning, backups, patching, upgrading, performance management, and resource scaling without traditional database-administration effort.
For unpredictable workloads, compute auto scaling is particularly significant. When enabled, Autonomous AI Database can automatically consume additional CPU and I/O resources as workload demand rises without requiring an administrator to manually resize the database. Storage can likewise be scaled and can use separate auto-scaling functionality.
Exadata Database Service on Dedicated Infrastructure provides extremely high performance and consolidation capabilities but retains customer database-management responsibilities. Exascale Infrastructure improves Exadata's elastic infrastructure model but is still not equivalent to Autonomous Database's fully managed, self-governing operational model. Base Database Service similarly requires substantially more customer administration.
Therefore, a cloud-native application with volatile usage and a requirement for essentially zero database administration maps directly to Oracle Autonomous AI Database .
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Autonomous AI Database, elastic scaling, automated management and serverless operations.
質問 # 49
Which Oracle AI Database@Azure purchase option requires the customer to create a new OCI tenancy as part of onboarding?
正解：B
解説：
Oracle's current onboarding documentation explicitly states that customers purchasing through the Public Offer (Pay As You Go) must create a new OCI tenancy during onboarding.
The Public Offer is purchased directly in Azure Marketplace without negotiating a contract with Oracle Sales.
Billing occurs through Azure, usage can count toward Microsoft Azure Consumption Commitment, and customers can start or stop consumption without a predetermined usage commitment. However, the trade-off relevant to this question is that an existing OCI tenancy cannot be linked to a Public Offer.
The Private Offer is different. Private Offer customers negotiate commercial terms with Oracle and can either link an eligible existing OCI tenancy or create a new OCI tenancy during onboarding.
Bring Your Own License affects Oracle Database software licensing economics rather than defining the Marketplace onboarding path. Universal Credits is likewise an OCI commercial construct and is not the Public
/Private Oracle AI Database@Azure offer selection being tested.
Therefore, B is correct.
Study Guide reference: Oracle AI Database@Azure Architecture and Onboarding - Public Offer, Private Offer and OCI tenancy requirements.
質問 # 50
You have provisioned two VNets for Oracle AI Database@Azure in the same Oracle Availability Zone. One VNet uses advanced network features and the other uses default networking, and you now want to peer them.
What should you expect?
正解：D
解説：
This configuration is explicitly identified as unsupported in Microsoft's Oracle AI Database@Azure network- planning guidance. If two Oracle AI Database@Azure VNets are deployed in the same Oracle Availability Zone and one uses Advanced Networking while the other uses the default networking implementation, VNet peering between them can introduce asymmetric routing .
Asymmetric routing occurs when outbound and return traffic traverse different network paths. This is particularly problematic with stateful network elements and the differing routing models associated with the two Oracle AI Database@Azure network implementations. The result can be data-plane traffic loss toward the VNet using Advanced Networking.
VNet peering itself does not upgrade a previously provisioned VNet to Advanced Networking, nor does it downgrade the Advanced Networking environment. Advanced Networking capability is determined by the feature configuration and the state of the delegated subnet before Oracle resources/VNICs are provisioned.
Therefore, the two environments should not be directly peered in this mismatched state. The correct answer is A .
Study Guide reference: Configure Oracle AI Database@Azure Networking - Advanced Networking compatibility and VNet peering.
質問 # 51
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.
正解：A
解説：
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.
質問 # 52
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?
正解：C
解説：
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.
質問 # 53
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