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Oracle Cloud Infrastructure 2025 Multicloud Architect Professional Sample Questions (Q44-Q49):

NEW QUESTION # 44
Which use case is least likely to require Oracle Interconnect for Google Cloud?

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

Answer: C

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 # 45
When setting up Oracle Interconnect for Google Cloud, which critical resource needs to be created in the Google Cloud environment?

  • A. Cross-Cloud Interconnect VLAN attachment
  • B. Google Cloud NAT gateway
  • C. Partner Interconnect VLAN attachment
  • D. Shared VPC with OCI

Answer: C

Explanation:
When setting up Oracle Interconnect for Google Cloud, you're essentially establishing a connection between your Virtual Private Cloud (VPC) network in Google Cloud and your Virtual Cloud Network (VCN) in OCI. This is achieved through a Partner Interconnect VLAN attachment on the Google Cloud side.
Here's a breakdown:
Partner Interconnect: This Google Cloud service allows you to connect your on-premises network or, in this case, another cloud provider (OCI) to your VPC network through a supported service provider (a "partner").
VLAN attachment: This is a logical connection between your VPC network and the Partner Interconnect. It's the specific resource that carries the traffic between Google Cloud and OCI.
Why the other options are incorrect:
a). Cross-Cloud Interconnect VLAN attachment: While this sounds similar, Cross-Cloud Interconnect is for direct connections between Google Cloud and other cloud providers, not through a partner. Oracle Interconnect for Google Cloud uses the Partner Interconnect model.
c). Google Cloud NAT gateway: A NAT gateway is used for providing internet access to resources within a private subnet. While it might be used in conjunction with the interconnect for certain scenarios, it's not the critical resource for establishing the interconnect itself.
d). Shared VPC with OCI: Shared VPC is a Google Cloud feature that allows multiple projects to share a common VPC network. It's not directly involved in setting up the physical or logical connection between Google Cloud and OCI


NEW QUESTION # 46
Which OCI native database service can you provision with Oracle Database@Google Cloud?

  • A. HeatWave
  • B. Autonomous Database on Dedicated Infrastructure
  • C. HeatWave
  • D. Base Database Service

Answer: B

Explanation:
Oracle Database@Google Cloud is a multicloud service that integrates OCI database offerings into the Google Cloud Platform (GCP). According to official Oracle documentation, the Autonomous Database on Dedicated Infrastructure is a key service available in this offering. This service provides a fully managed database environment running on dedicated Exadata infrastructure, optimized for performance and isolation. The Base Database Service is a more basic offering not specifically highlighted in the Oracle Database@Google Cloud context, while HeatWave (listed twice in the original, corrected here as a single option) is a MySQL-focused analytics engine, not the primary native database service for this integration. The partnership between Oracle and Google Cloud, announced in June 2024, emphasizes Autonomous Database capabilities for enterprise workloads.


NEW QUESTION # 47
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 a third-party ETL tool to extract data from Autonomous Database and load it into Google BigQuery.
  • B. Export data from Autonomous Database to Google Cloud Storage regularly using Data Pump.
  • C. Use Oracle Data Integration Platform Cloud (DIPC) to replicate the data to a Google Cloud SQL instance.
  • D. 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.

Answer: D

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 # 48
How can the organization ensure secure and efficient data transfer between the frontend applications and the backend data warehouse in this scenario?

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

Answer: A

Explanation:
The OCI-Azure Interconnect, using Azure ExpressRoute and Oracle FastConnect, provides a dedicated, private, high-bandwidth, and low-latency connection between Azure and OCI, ideal for secure and efficient data transfer between frontend apps and backend data warehouses. Public internet (Option A) is less secure and slower, even with encryption. A hybrid approach (Option C) involves on-premises, not specified here. A VPN (Option D) is secure but lacks the performance of the interconnect. Oracle's multicloud connectivity docs endorse this solution.


NEW QUESTION # 49
......

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