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Oracle 1Z0-1151-25 Exam Syllabus Topics:

Topic	Details
Topic 1	Configure Multicloud Connection Options: This section assesses the abilities of Network Engineers in configuring connectivity solutions for OCI multi-cloud environments. It includes setting up secure networking options such as Site-to-Site VPN and FastConnect for seamless cloud integration. Candidates will also learn how to implement Oracle Interconnect services for establishing direct, high-performance connections between OCI and third-party cloud providers like Microsoft Azure and Google Cloud.
Topic 2	Implement Oracle Database@Google Cloud: This section measures the proficiency of Cloud Database Engineers in utilizing Oracle Database@Google Cloud. It explores the architecture and operational framework for running Oracle databases on Google Cloud. Candidates will learn about onboarding procedures, provisioning resources, and managing database services effectively to optimize performance and availability in a Google Cloud-integrated multi-cloud ecosystem.
Topic 3	Core OCI Services Overview: This section evaluates the knowledge of Identity and Database Administrators in managing OCI's core services for multi-cloud integration. It covers the implementation of identity federation between OCI Identity Domains and external identity providers, ensuring secure authentication across multiple cloud environments. Candidates will also gain expertise in configuring Virtual Cloud Network (VCN) components and administering OCI database services, including Base Databases, Autonomous Databases, and HeatWave, to support scalable multi-cloud deployments.
Topic 4	Implement Oracle Database@Azure: This section tests the expertise of Database Solutions Architects in deploying and managing Oracle Database@Azure. It covers the architectural components and onboarding processes required for provisioning databases in Azure while maintaining Oracle’s advanced database capabilities. Candidates will also focus on configuring high availability and disaster recovery strategies to ensure business continuity and data resilience in a multi-cloud setup.
Topic 5	Introduction to Multicloud: This section of the exam measures the skills of Cloud Architects in understanding multicloud environments and their benefits. It covers the reasons organizations adopt multi-cloud strategies, including flexibility, cost optimization, and risk management. Candidates will learn about common multicloud use cases and how they are implemented in Oracle Cloud Infrastructure (OCI) to enhance interoperability and performance.

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Oracle Cloud Infrastructure 2025 Multicloud Architect Professional Sample Questions (Q45-Q50):

NEW QUESTION # 45
Suppose you have a highly sensitive dataset stored in an Autonomous Database. What is the BEST way to ensure that no data leaves the EU?

A. Configure a Virtual Cloud Network (VCN) with a security list blocking all outbound traffic.
B. Implement Transparent Data Encryption (TDE) with a customer-managed key.
C. Select an EU region for your Autonomous Database deployment and enable customer-managed encryption keys.
D. Use Data Masking to obfuscate sensitive data before it leaves the database.

Answer: C

Explanation:
Here's why:
EU Region Selection: Deploying the Autonomous Database in an EU region (e.g., Frankfurt, Amsterdam, Paris, Dublin) ensures that the data physically resides within the EU's geographical boundaries. This addresses data residency requirements directly.
Customer-Managed Encryption Keys (CMEK): Enabling CMEK gives you control over the encryption keys used to protect your data at rest. This provides an additional layer of security and helps you meet compliance requirements related to key management. It also ensures that even if someone were to somehow exfiltrate the encrypted data, they wouldn't be able to decrypt it without your keys, which reside in your control, presumably also within the EU.
Why the other options are less suitable:
a) Configure a Virtual Cloud Network (VCN) with a security list blocking all outbound traffic: While blocking all outbound traffic would prevent data from leaving the VCN, it would also make the database practically unusable. Applications and users would not be able to connect to it. This is an overly restrictive and impractical solution.
b) Use Data Masking to obfuscate sensitive data before it leaves the database: Data masking is useful for protecting sensitive data when it needs to be shared with non-production environments or third parties. However, it doesn't prevent data from leaving the EU. The masked data would still be subject to data residency regulations.
d) Implement Transparent Data Encryption (TDE) with a customer-managed key: TDE encrypts data at rest, which is a good security practice. Having a customer-managed key adds further control. However, TDE alone does not guarantee data residency. The data could still be stored in a non-EU region.

NEW QUESTION # 46
Which use case is least likely to require Oracle Interconnect for Google Cloud?

A. Leveraging OCI's Autonomous Database with GCP's AI tools
B. Running latency-sensitive applications across OCI and GCP
C. Deploying a multicloud disaster recovery solution
D. Migrating data from an on-premises data center to OCI

Answer: D

Explanation:
Oracle Interconnect for Google Cloud is designed for multicloud scenarios between OCI and GCP, such as integrating Autonomous Database with GCP AI (Option A), disaster recovery (Option C), or latency-sensitive apps (Option D). Migrating on-premises data to OCI (Option B) is a single-cloud use case that doesn't inherently require GCP connectivity, making it the least likely to need this interconnect. Oracle's multicloud use case documentation supports this distinction.

NEW QUESTION # 47
What is used to monitor and analyze Oracle Exadata VM Cluster metrics in Azure?

A. Oracle Database Management Tool
B. OCI Monitoring services
C. Azure Monitoring services
D. Microsoft Defender

Answer: C

Explanation:
Azure Monitoring services are used to monitor and analyze Oracle Exadata VM Cluster metrics in the Oracle Database@Azure service, integrating seamlessly with Azure's ecosystem. Microsoft Defender (Option A) is a security tool, not for performance monitoring. OCI Monitoring (Option D) is separate, and no specific "Oracle Database Management Tool" (Option B) is highlighted for this purpose in Azure. Oracle's multicloud docs confirm Azure Monitoring's role.

NEW QUESTION # 48
To minimize the cost of your Autonomous Database while ensuring it scales automatically to handle peak loads. Which configuration is MOST suitable?

A. Autonomous Database on Dedicated Infrastructure with manual scaling.
B. Base Database on bare metal with manual scaling.
C. Autonomous Database on Shared Infrastructure with auto-scaling enabled.
D. Base Database on a virtual machine with auto-scaling configured.

Answer: C

Explanation:
Here's why:
Shared Infrastructure: Using shared infrastructure is inherently more cost-effective than dedicated infrastructure. You share the underlying hardware resources with other users, which reduces your costs significantly.
Auto-scaling: Enabling auto-scaling allows the Autonomous Database to automatically adjust its compute and storage resources based on workload demands. This means you only pay for the resources you actually consume. During peak loads, the database scales up to handle the increased demand, and during periods of low activity, it scales down to minimize costs.
Why other options are less suitable:
a) Autonomous Database on Dedicated Infrastructure with manual scaling: Dedicated infrastructure is the most expensive option. Manual scaling requires manual intervention to adjust resources, which is not ideal for handling unpredictable peak loads and does not minimize cost automatically.
c) Base Database on a virtual machine with auto-scaling configured: While this offers some flexibility, it requires significantly more management overhead compared to Autonomous Database. You are responsible for managing the operating system, database software, backups, and other administrative tasks. Autonomous Database handles all of this for you.
d) Base Database on bare metal with manual scaling: Bare metal is the most expensive and least flexible option. Manual scaling makes it unsuitable for handling peak loads efficiently and cost-effectively.

NEW QUESTION # 49
Which method is NOT a valid approach to scale the Exadata VM Cluster's compute resources?

A. Manually scaling up or down the number of CPU cores allocated to the cluster's VMs via the OCI Console.
B. Leveraging Google Cloud's managed instance groups to automatically scale the number of compute instances in the Exadata VM Cluster.
C. Utilizing OCI's autoscaling functionality through OCI Console that allows for scaling based on performance metrics.
D. Using the Oracle Cloud Infrastructure API to programmatically adjust the compute resource allocation.

Answer: B

Explanation:
Here's why:
Oracle Database@Google Cloud provides a managed Exadata service within the Google Cloud environment. However, the scaling of the Exadata VM Cluster's compute resources is not directly integrated with Google Cloud's managed instance groups or autoscaling features.
A) Manually scaling up or down the number of CPU cores allocated to the cluster's VMs via the OCI Console: This is not the correct approach in the Oracle Database@Google Cloud context. You do not directly manage the Exadata VM Cluster's CPU cores through the OCI console. Scaling is done through Google Cloud support.
B) Using the Oracle Cloud Infrastructure API to programmatically adjust the compute resource allocation: Similar to option A, directly using the OCI API is not the supported method within Oracle Database@Google Cloud.
D) Utilizing OCI's autoscaling functionality through OCI Console that allows for scaling based on performance metrics: Autoscaling based on metrics is also not available in this integrated environment.
Scaling the compute resources of an Exadata VM Cluster in Oracle Database@Google Cloud requires coordination with Google Cloud support. They handle the underlying infrastructure changes in conjunction with Oracle. You cannot directly manage the scaling via OCI tools or Google Cloud's general-purpose autoscaling mechanisms.

NEW QUESTION # 50
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FREE 1Z0-1151-25 STUDY MATERIAL | 1Z0-1151-25 VALID TEST REGISTRATION

Free 1Z0-1151-25 Study Material | 1Z0-1151-25 Valid Test Registration