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Difficulty: HardContainer-Based Workloads

A digital health platform is designing a containerized microservice-based architecture to process patient data in two regions: North Europe (Ireland) and West Europe (Netherlands). The platform has the following requirements:
- The microservices must scale dynamically from zero based on HTTP traffic and message queue depth.
- You must minimize the administrative effort required to manage container orchestration, patching, and OS maintenance.
- For compliance and data sovereignty reasons, application log data from the Irish region must be strictly segregated at the data-plane level and stored within Ireland, while Netherlands log data must remain within the Netherlands.

Which two configurations should you recommend to meet the requirements? (Select two.)

  1. Host the microservices on Azure Container AppsAnswer
  2. Provision separate Azure Log Analytics workspaces in the North Europe and West Europe regionsAnswer
  3. C
    Host the microservices on Azure Kubernetes Service (AKS) clusters
  4. D
    Provision a single, centralized Azure Log Analytics workspace and configure workspace-level access control

Answer

Host the microservices on Azure Container Apps, and provision separate Azure Log Analytics workspaces in the North Europe and West Europe regions.
Hosting the microservices on Azure Container Apps meets the requirements of running containerized workloads, scaling from zero, and supporting KEDA out-of-the-box while minimizing administrative overhead by using a fully managed serverless platform. Provisioning separate Log Analytics workspaces in the North Europe and West Europe regions ensures compliance with strict data sovereignty and log isolation requirements between the two regions.

Step-by-Step Solution

1
Evaluate the compute options based on administrative effort and autoscaling requirements.
Azure Container Apps is selected because it is a serverless platform that supports event-driven scaling natively and minimizes administrative overhead compared to AKS, which requires manual node and cluster management.
The scenario requires minimizing administrative effort while supporting container scaling based on HTTP traffic and queue depth.
2
Evaluate the monitoring and compliance requirements for log data residency.
Separate Log Analytics workspaces must be deployed in each region (North Europe and West Europe).
Compliance and data sovereignty demand that log data from Ireland and the Netherlands be physically segregated and stored in their respective regions.

Key Concept

Selecting container hosting platforms and designing regional monitoring architectures based on operational overhead and compliance requirements.
Estimated Time:3m 0s
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Topics

Container-Based Workloads

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