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Oracle Cloud Infrastructure 2025 Multicloud Architect Professional Sample Questions (Q48-Q53):

NEW QUESTION # 48
When setting up Oracle Interconnect for Google Cloud, what is the primary function of the Cloud Router in Google Cloud?

  • A. To manage IPsec tunnels between OCI and Google Cloud.
  • B. To act as a firewall for traffic between OCI and Google Cloud.
  • C. To exchange routing information with the OCI Dynamic Routing Gateway (DRG) using BGP.
  • D. To provide network address translation (NAT) for instances in the Google Cloud VPC.

Answer: C

Explanation:
The Cloud Router in Google Cloud is a fully distributed and managed Google Cloud service that provides BGP routing. In the context of Oracle Interconnect for Google Cloud, its primary function is to establish BGP sessions with the OCI Dynamic Routing Gateway (DRG) to exchange routing information. This allows traffic to be dynamically routed between the two cloud environments.
Here's why the other options are incorrect:
A). To act as a firewall for traffic between OCI and Google Cloud. While firewalls are important for security, the Cloud Router's primary function is routing, not firewalling. Firewall rules would be configured separately in both OCI and Google Cloud.
B). To manage IPsec tunnels between OCI and Google Cloud. Oracle Interconnect for Google Cloud, when using Partner Interconnect or Dedicated Interconnect, relies on a direct connection or a partner's network, not IPsec tunnels over the public internet.
D). To provide network address translation (NAT) for instances in the Google Cloud VPC. While Cloud NAT is a separate Google Cloud service that provides NAT, it's not the primary function of the Cloud Router in the context of the Interconnect.


NEW QUESTION # 49
In the architecture of Oracle Database@Google Cloud, where does the primary management and control plane for the Exadata Database Service reside?

  • A. Partially in the customer's Google Cloud project and partially in an Oracle-managed OCI region.
  • B. Within the customer's Google Cloud Project.
  • C. Within the customer's on-premises data center.
  • D. Within an Oracle-managed OCI region.

Answer: D

Explanation:
Even though the Exadata hardware resides within Google Cloud data centers, the management and control plane for the Exadata Database Service remains entirely within Oracle's domain, specifically within an Oracle-managed OCI region. This means that Oracle is responsible for:
Provisioning and managing the Exadata infrastructure.
Patching and upgrading the Exadata software and firmware.
Monitoring the health and performance of the Exadata systems.
The customer interacts with the Exadata Database Service primarily through the OCI console or APIs, even when accessing it from Google Cloud.
The other options are incorrect:
The customer's Google Cloud Project provides the network connectivity and application environment, but does not manage the Exadata service itself.
The management is not split between Google Cloud and OCI. It's solely within OCI.
The customer's on-premises data center is not involved in the management of the Exadata service in this cloud-based offering.


NEW QUESTION # 50
A company wants to implement a hybrid cloud strategy using OCI and their on-premises data center. They need to extend their existing Active Directory to OCI for seamless user authentication and authorization. Which service is BEST suited for this scenario?

  • A. Oracle Cloud Infrastructure Identity and Access Management (IAM)
  • B. OCI Active Directory integration through VPN or FastConnect.
  • C. Microsoft Azure Active Directory
  • D. Oracle Identity Cloud Service (IDCS)

Answer: B

Explanation:
Here's why:
OCI Active Directory integration: This approach allows you to seamlessly integrate your on-premises Active Directory domain controllers with OCI. By establishing a secure connection (either via VPN or, preferably, FastConnect for better performance), you can extend your existing domain to OCI, allowing users to use their existing credentials to access resources in both environments. This maintains a single source of truth for user identities.
Why the other options are less suitable:
A). Oracle Identity Cloud Service (IDCS): IDCS is a cloud-native identity management service. While it can integrate with on-premises Active Directory through synchronization, it creates a separate identity store. This means changes made in one directory need to be synced to the other, introducing potential latency and complexity. It's not a true extension of the existing domain.
B). Oracle Cloud Infrastructure Identity and Access Management (IAM): OCI IAM is the native identity and access management service for OCI. It's used for managing access to OCI resources, but it's not designed for directly extending an on-premises Active Directory. While it can federate with other identity providers, direct integration with on-premises AD is best achieved through the method in option D.
C). Microsoft Azure Active Directory: Azure AD is Microsoft's cloud-based identity and access management service. It's not directly related to extending an on-premises Active Directory to OCI. While you could potentially implement complex cross-cloud federation, it would be far more complex and less efficient than directly extending the existing AD to OCI.


NEW QUESTION # 51
How can an organization ensure secure and efficient data transfer between their frontend data analytics applications in Microsoft Azure and the backend Oracle Autonomous Data Warehouse in Oracle Cloud Infrastructure (OCI) in a multicloud solution?

  • A. By using public internet connections to transfer data between Azure and OCI, encrypting the data in transit
  • B. By implementing a hybrid cloud approach that integrates on-premises infrastructure with both Azure and OCI
  • C. By establishing a dedicated, private connection between Azure and OCI using Azure ExpressRoute and Oracle FastConnect
  • D. By leveraging a VPN Gateway to create an encrypted tunnel between Azure and OCI for secure data transfer

Answer: C

Explanation:
Here's why:
Azure ExpressRoute and Oracle FastConnect: This combination provides a direct, private connection between the two cloud environments. This offers several advantages:
High bandwidth: Enables fast data transfer, crucial for analytics workloads.
Low latency: Minimizes delays in data transfer, improving application performance.
Enhanced security: Data travels over a private connection, reducing exposure to the public internet.
Reliability: Dedicated connections offer more consistent performance compared to internet-based connections.
Why the other options are less suitable:
a). By leveraging a VPN Gateway to create an encrypted tunnel between Azure and OCI for secure data transfer: While VPNs provide secure connections, they generally offer lower bandwidth and higher latency compared to dedicated connections like ExpressRoute and FastConnect. This can be a bottleneck for data-intensive analytics applications.
b). By using public internet connections to transfer data between Azure and OCI, encrypting the data in transit: While encryption protects the data during transit, using the public internet introduces variability in performance (bandwidth and latency) and potential security risks compared to a private connection. This is not suitable for production analytics workloads that require consistent and reliable performance.
c). By implementing a hybrid cloud approach that integrates on-premises infrastructure with both Azure and OCI: Introducing on-premises infrastructure adds complexity and doesn't directly address the need for efficient data transfer between Azure and OCI. While a hybrid approach might be part of a broader strategy, it's not the primary solution for this specific scenario.


NEW QUESTION # 52
A company wants to leverage Google Cloud's AI/ML services for analyzing data stored in Oracle Autonomous Database on OCI. Which approach minimizes data egress costs and latency for this multicloud analytics use case?

  • A. Use Oracle Data Integration Platform Cloud (DIPC) to replicate the data to a Google Cloud SQL instance.
  • B. Use a third-party ETL tool to extract data from Autonomous Database and load it into Google BigQuery.
  • C. Leverage Oracle Interconnect for Google Cloud to establish a direct, low-latency connection and access Autonomous Database remotely from Google Cloud's AI/ML services.
  • D. Export data from Autonomous Database to Google Cloud Storage regularly using Data Pump.

Answer: C

Explanation:
Here's why:
Oracle Interconnect for Google Cloud: This service provides a dedicated, private connection between OCI and Google Cloud. This direct interconnection minimizes latency significantly compared to transferring data over the public internet. Crucially, it also avoids data egress charges from OCI, as the data remains within the interconnected network. This is the key advantage for cost optimization. By accessing the database remotely, you are processing the data in place, avoiding any transfer costs from OCI.
Why other options are less optimal:
A). Export data from Autonomous Database to Google Cloud Storage regularly using Data Pump: This involves transferring large amounts of data across the public internet, incurring egress costs from OCI. It also introduces latency due to the data transfer process. Regular exports also mean data is not live and can be outdated.
B). Use Oracle Data Integration Platform Cloud (DIPC) to replicate the data to a Google Cloud SQL instance: Similar to option A, this involves data transfer and replication, incurring egress costs from OCI and introducing latency. Maintaining a replicated database also adds complexity and cost.
D). Use a third-party ETL tool to extract data from Autonomous Database and load it into Google BigQuery: This option also requires data extraction and loading, resulting in egress costs from OCI and increased latency. Using a third-party tool also adds another layer of cost and management.


NEW QUESTION # 53
......

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