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| Section | Weight | Objectives |
|---|---|---|
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Explain Oracle AI Database@Azure and its architecture - Configure prerequisites for onboarding - Understand purchase options - Explain Oracle Database services in Oracle AI Database@Azure |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Autonomous AI Database - Create and configure Azure delegated subnet - Backup and restore processes - Provision Exadata infrastructure and clusters - Provision Exascale infrastructure and services - Configure monitoring and observability - Provision Base Database Service |
| Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Understand Oracle Zero Downtime Migration (ZDM) - ZDM workflows to Autonomous AI Database - ZDM workflows to Exadata |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Configure Oracle AI Database@Azure Networking | 15% | - Configure DNS - Explain networking concepts - Describe supported network topologies |
我々はOracleの1z0-1147試験問題と解答また試験シミュレータを最初に提供し始めたとき、私達が評判を取ることを夢にも思わなかった。我々が今行っている保証は私たちが信じられないほどのフォームです。Oracleの1z0-1147試験はXhs1991の保証を検証することができ、100パーセントの合格率に達することができます。
質問 # 10
Which two DNS endpoints can be optionally enabled when provisioning a Network Anchor for Oracle AI Database@Azure? (Choose two.)
正解:A、D
解説:
Oracle AI Database@Azure Network Anchors support DNS integration between Azure-side applications and OCI-side database networking. The two endpoint constructs used by Oracle DNS are the DNS forwarding endpoint and DNS listening endpoint .
For inbound DNS resolution from OCI toward Azure, Oracle's Network Control Plane can create a forwarding DNS endpoint and configure forwarding rules so OCI-hosted resources can forward queries toward the Azure DNS environment. Conversely, outbound resolution from Azure toward Oracle resources relies on an OCI listening DNS endpoint. The listening endpoint receives DNS requests and enables Azure or connected on- premises systems to resolve Oracle AI Database@Azure names.
The terminology is important. Oracle explicitly uses listening and forwarding endpoint constructs. "DNS replication endpoint" is not the endpoint name used for private-zone synchronization, and "DNS peering endpoint" is not an Oracle Network Anchor endpoint type. DNS-record synchronization is a separate behavior from the endpoint resource itself.
Consequently, the correct selections are A and D .
Study Guide reference: Configure Oracle AI Database@Azure Networking - Network Anchors, inbound DNS, outbound DNS, forwarding endpoints and listening endpoints.
質問 # 11
Your enterprise is configuring federated single sign-on (SSO) and authentication for administrators operating Oracle AI Database@Azure resources. Which identity provider natively provides federated identity and access management for this co-located database service?
正解:D
解説:
For Oracle AI Database@Azure's documented Azure-to-OCI federation architecture, Microsoft Entra ID functions as the enterprise identity provider. Oracle's reference architecture explicitly states that Microsoft Entra ID provides federated identity and access management for Oracle AI Database@Azure.
The OCI IAM Identity Domain remains an essential component because it is the Oracle-side service provider and identity domain that trusts the Microsoft Entra identity provider. However, when the question asks which platform provides the federated corporate identity in the Azure-integrated architecture, the answer is Microsoft Entra ID.
Oracle's onboarding instructions configure an Oracle Cloud Infrastructure Console enterprise application in Entra ID and then configure the OCI identity domain with Microsoft Entra ID as its SAML identity provider.
Administrators can subsequently use their corporate Entra credentials for SSO into OCI when Oracle-native management tasks require it.
AD FS represents an older on-premises Microsoft federation service, while Okta is a third-party identity platform rather than the natively documented Azure integration.
Therefore, A is correct.
Study Guide reference: Secure Oracle AI Database@Azure - Entra ID federation, OCI IAM Identity Domains and SSO.
質問 # 12
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:B
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 # 13
Which two options represent the minimum physical server components required when provisioning an initial Oracle Exadata Infrastructure deployment in Oracle AI Database@Azure? (Choose two.)
正解:C、D
解説:
The foundational Exadata configuration is constructed from two distinct server tiers: database servers that execute Oracle Database workloads and Exadata Storage Servers that provide intelligent, scale-out database storage. Oracle's Exadata technical architecture identifies the base configuration as two database servers and three storage servers .
Two database servers provide the minimum database compute topology necessary for the architecture's availability and clustered database capabilities. A single database server would eliminate the server-level redundancy expected from the standard Exadata infrastructure design. On the storage side, three Exadata Storage Servers form the baseline storage configuration and support the redundancy mechanisms used by Oracle Automatic Storage Management and Exadata storage services.
Oracle documents the same two-database-server/three-storage-server starting configuration across current Exadata architectural material. Additional database or storage servers can be added in supported elastic configurations, but those expansions do not alter the minimum starting configuration asked for in the question.
Therefore, B and D are correct. Two storage servers are below the supported storage-server baseline, while one database server does not constitute the standard Exadata base infrastructure.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata Infrastructure architecture, database servers, storage servers, infrastructure sizing.
質問 # 14
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?
正解:C
解説:
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.
質問 # 15
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Xhs1991クライアントに1z0-1147学習資料の3つのバージョンを提供し、PDFバージョン、PCバージョン、APPオンラインバージョンが含まれます。 異なるバージョンは、独自の利点とメソッドの使用を後押しします。 1z0-1147試験トレントの内容は同じですが、クライアントごとに異なるバージョンが適しています。 たとえば、PCバージョンの1z0-1147学習教材は、Windowsシステムを搭載したコンピューターをサポートします。Oracleその利点には、Oracle AI Database@Azure Architect Professional実際の操作試験環境をシミュレートし、試験をシミュレートでき、期間限定試験に参加できることです。 そして、バージョンが何であれ、ユーザーは自分の喜びで1z0-1147ガイドOracle AI Database@Azure Architect Professional急流を学ぶことができます。 タイトルと回答は同じであり、コンピューターまたは携帯電話またはラップトップで製品を使用できます。
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