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| Section | Weight | Objectives |
|---|---|---|
| High Availability and Disaster Recovery | 10% | - Implement HA and DR configurations |
| Secure Oracle AI Database@Azure Deployments | 15% | - Security configurations and best practices |
| Introduction to Multicloud | 5% | - Explain common multicloud use cases and their implementation in OCI - Explain multicloud and its benefits |
| Oracle AI Database@Azure Architecture and Onboarding | 20% | - Understand purchase options - Explain Oracle AI Database@Azure and its architecture - Explain Oracle Database services in Oracle AI Database@Azure - Configure prerequisites for onboarding |
| Migrate Oracle Databases to Oracle AI Database@Azure | 15% | - ZDM workflows to Exadata - ZDM workflows to Autonomous AI Database - Understand Oracle Zero Downtime Migration (ZDM) |
| Configure Oracle AI Database@Azure Networking | 15% | - Describe supported network topologies - Configure DNS - Explain networking concepts |
| Provision and Operate Oracle AI Database@Azure Resources | 20% | - Provision Base Database Service - Provision Autonomous AI Database - Configure monitoring and observability - Create and configure Azure delegated subnet - Provision Exascale infrastructure and services - Provision Exadata infrastructure and clusters - Backup and restore processes |
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NEW QUESTION # 13
Which Oracle AI Database@Azure purchase option requires the customer to create a new OCI tenancy as part of onboarding?
Answer: C
Explanation:
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.
NEW QUESTION # 14
When monitoring metrics for Oracle Exadata Database Service on Dedicated Infrastructure within Oracle AI Database@Azure, which specific metric label must you select in the Azure Portal to view the performance of individual Pluggable Databases (PDBs)?
Answer: D
Explanation:
Oracle AI Database@Azure exposes database and infrastructure metrics through Azure Monitor, but similarly named metrics correspond to different levels of the Oracle resource hierarchy. Correct interpretation of the label is therefore essential.
Oracle's monitoring documentation explicitly differentiates the namespaces. OCI Database Cluster represents VM-cluster-level measurements. OCI Database represents Container Database (CDB) metrics.
Oracle OCI Database identifies Pluggable Database-level metrics. Consequently, to examine CPU utilization for an individual PDB, the administrator selects CPU Utilization (Oracle OCI Database) .
This distinction is particularly important for consolidated Exadata environments. A cluster-level CPU metric can show overall infrastructure utilization but cannot determine which PDB is responsible for a workload spike. Similarly, CDB-level utilization aggregates activity at the container-database layer. The Oracle OCI Database-labelled metric enables the administrator to work at the PDB scope needed for tenant or application- specific performance analysis.
The Azure Monitor integration therefore provides several metrics with superficially similar names, but their resource dimensions are deliberately different.
Study Guide reference: Provision and operate Oracle AI Database@Azure Resources - Azure Monitor integration, Exadata monitoring, VM Cluster/CDB/PDB metric scopes and operational observability.
NEW QUESTION # 15
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: C
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 # 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: D
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
You have configured automatic backups for an Exadata Database using Object Storage with a 30-day retention period. A new compliance requirement now mandates that full backups be retained for up to 10 years with immutability. What should you do?
Answer: D
Explanation:
Oracle Database Autonomous Recovery Service provides the specific capabilities required for multi-year database backup retention combined with immutability .
Oracle's Long-Term Retention capability allows a full database backup to be retained for up to ten years .
This addresses regulatory requirements that exceed ordinary operational backup-retention windows. Recovery Service additionally supports Retention Lock , which prevents protected backups from being modified or deleted before the configured retention period expires. This provides a database-aware immutability mechanism suitable for ransomware, malicious-administrator, and compliance-protection scenarios.
Merely increasing a standard Object Storage backup retention value does not provide the same Recovery Service lifecycle, recoverability validation, protection-policy model, or database-specific retention locking.
NFS likewise does not introduce a managed ten-year immutable recovery framework. Manual on-demand backups also fail to provide policy-enforced retention and introduce unnecessary operational risk.
The combination of Recovery Service, LTR, and Retention Lock directly addresses both requirements in the question: ten-year retention and immutability .
Therefore, B is correct.
Study Guide reference: Secure Oracle AI Database@Azure - Autonomous Recovery Service, Long- Term Retention and Retention Lock.
NEW QUESTION # 18
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