一部の候補者は、自社の1z1-1147ソフトウェアテストシミュレーターを購入する場合があります。 ソフトバージョンをインストールできるパーソナルコンピューターの台数を尋ねられます。 実際、コンピューターの数に制限はありません。 したがって、1z1-1147ソフトウェアテストシミュレータを購入すると、同時にマルチユーザーをサポートします。 無制限にコンピューターにインストールできます。 あなたが訓練学校である場合、教師が気軽に発表して説明するのに適しています。 優れた1z1-1147ソフトウェアテストシミュレータは合格率が高く、JPTestKingは長期的な協力をお待ちしています。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Oracle AI Database@Azure Architecture and Onboarding | 20% | - Azure subscription and OCI tenancy linking - Azure regions and OCI availability zones - Roles and permissions - Oracle AI Database@Azure architecture - Microsoft Entra ID and OCI IAM federation - Azure Marketplace purchase and onboarding |
| Topic 2: Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - Data Guard and GoldenGate - RMAN-based migration - Oracle Data Pump - Migration validation and cutover - Migration strategy selection - Zero Downtime Migration |
| Topic 3: Introduction to Multicloud | 5% | - Multicloud concepts and Oracle AI Database@Azure |
| Topic 4: Provision and Operate Oracle AI Database@Azure Resources | 20% | - Container and Pluggable Databases - Scaling and resource management - Autonomous Database Serverless - Cloning and refreshing databases - Quotas and service limits - Patching and maintenance - Monitoring and database management - Exadata Infrastructure and VM Clusters |
| Topic 5: HA and DR with Oracle AI Database@Azure | 10% | - Data Guard and Autonomous Data Guard - RTO and RPO considerations - Availability zones and Exadata redundancy - Backup and restore - High availability architecture - Point-in-time recovery - Switchover and failover |
| Topic 6: Secure Oracle AI Database@Azure | 15% | - Oracle-managed and customer-managed keys - Auditing and logging - Encryption in transit - Transparent Data Encryption - Azure and OCI separation of duties - Database and infrastructure access control - Network isolation |
| Topic 7: Configure Oracle AI Database@Azure Networking | 15% | - ExpressRoute and site-to-site connectivity - Oracle.Database network attachments - Delegated subnets - DNS resolution and private connectivity - User-defined routes - Network security groups - VNet peering and connectivity - Default and advanced networking |
Oracleの1z1-1147認定試験はIT業界の中でとても普遍的な試験になります。試験の準備は時間とエネルギーがかかります。時は金なり社会に時間を無駄しないようによいツルを探し出されるのはみんなの希望です。JPTestKingのOracleの1z1-1147認証試験の問題集は君の20時間だけかかりますよ。
質問 # 94
You are configuring logging for an Exadata Infrastructure resource in Oracle AI Database@Azure and attempt to save a second diagnostic setting that routes the same log categories to your primary Log Analytics workspace. What will occur when you attempt to save this configuration?
正解：D
解説：
Microsoft's Oracle Exadata Database on Dedicated Infrastructure observability guidance explicitly defines a no-duplicate-destination rule for these resources: two diagnostic settings cannot send the same log categories to the same destination. Each diagnostic-setting configuration must therefore remain unique.
An Exadata resource can have multiple diagnostic settings-Microsoft documents a maximum of five per resource-but those settings are intended to provide different category/destination combinations. If an administrator attempts to create another setting with the same log categories targeting the same Log Analytics workspace, the duplicate configuration is rejected rather than automatically consolidated.
Microsoft Sentinel does not serve as a conflict-management mechanism for the diagnostic-settings configuration, and the platform does not resolve the collision by modifying Log Analytics retention. Retention is a separate workspace/data-management concern.
This rule prevents unintended duplicate ingestion and avoids unnecessary telemetry duplication and associated ingestion cost.
Therefore, A accurately describes the outcome.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Exadata logging, Azure Monitor diagnostic settings, Log Analytics and observability constraints.
質問 # 95
What is the allowed range of days for the automatic backup retention period when configuring an instance of Oracle Autonomous AI Database Serverless in Oracle AI Database@Azure?
正解：B
質問 # 96
Who performs infrastructure patching and software updates for the Exadata infrastructure underlying Oracle AI Database@Azure?
正解：A
解説：
Oracle owns and operates the underlying Exadata infrastructure layer used by Oracle AI Database@Azure, even though that infrastructure is physically located in Microsoft Azure data centers.
Consequently, Oracle performs infrastructure-level maintenance, patching, security updates, monitoring, and lifecycle operations.
Oracle-managed Exadata infrastructure components include the physical database-server hosts, storage servers, network fabric, hypervisor or virtualization infrastructure, firmware, management components, and control-plane systems. Microsoft supplies the Azure data-center environment and associated Azure platform capabilities, but Microsoft support engineers do not maintain Oracle's Exadata hardware/software stack.
The customer retains responsibility for customer-controlled portions of co-managed database environments, including database configuration and, depending on service and maintenance model, guest VM, Grid Infrastructure, database homes, and database software lifecycle activities. Oracle has also introduced optional Oracle-managed database software update capabilities for applicable newer Exadata services, but that does not change responsibility for the underlying infrastructure.
Therefore, C correctly identifies Oracle's Cloud Infrastructure operations organization.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - shared operational responsibility and Exadata infrastructure maintenance.
質問 # 97
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：D
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 # 98
You are planning to migrate an on-premises Oracle Database to an Autonomous Database Serverless target on Oracle Database@Azure. Which migration workflow families are supported by Zero Downtime Migration (ZDM) to accomplish this task?
正解：B
解説：
For an Autonomous AI Database Serverless target, Oracle Zero Downtime Migration supports Logical Online and Logical Offline migration workflows.
Logical migration is necessary because Autonomous AI Database Serverless abstracts the underlying physical database infrastructure and does not expose the file-system and database-host control required for a conventional physical RMAN/Data Guard migration. ZDM therefore operates through logical database migration technologies.
Logical Offline uses Oracle Data Pump export and import to instantiate the target. Logical Online adds Oracle GoldenGate to the workflow so changes occurring on the source after the initial data load are captured and applied to the target until final cutover, greatly reducing application downtime.
Oracle's Oracle Database@Azure migration documentation explicitly lists these two workflows for migration to Autonomous Database Serverless. Physical Online and Physical Offline workflows apply to supported customer-managed Oracle database targets, such as Exadata Database Service, rather than Autonomous Serverless.
Therefore, A is correct.
Study Guide reference: Migrate Oracle Databases to Oracle AI Database@Azure - Autonomous AI Database Serverless migration workflow support.
質問 # 99
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当社の1z1-1147トレーニング資料は国内外で有名です。主な理由は、コア競争力を持たない他の会社があるためです。市場には多くの複雑な類似製品があります。独自に必要です。他の製品との1z1-1147テストの質問は、1z1-1147学習教材を更新する最も中核的な専門家チームがあることです。製品のポイント。
1z1-1147試験番号: https://www.jptestking.com/1z1-1147-exam.html