Container-Based Workloads

A healthcare company is designing a container-based application on Azure to host a patient portal API. The application consists of several microservices that handle patient queries. The design must satisfy the following requirements:
- The microservices must scale down to zero instances when there is no incoming traffic to reduce costs.
- The application components must communicate privately and be isolated within an existing Azure virtual network.
- The solution must minimize administrative and infrastructure management overhead.
- Audit logs must be kept strictly isolated in their respective deployment regions to comply with data sovereignty regulations.

Which two configurations should you recommend?

An organization plans to deploy a microservices-based application consisting of several containerized background services. The services need to scale dynamically in response to incoming messages in an Azure Service Bus queue using Kubernetes Event-driven Autoscaling (KEDA). The organization wants to avoid managing Kubernetes nodes, clusters, or control planes, and does not require direct access to the Kubernetes API. Which Azure service should you recommend to host these containerized services?

You are designing a compute solution for a new microservices application in Azure. The application must support event-driven auto-scaling and dynamic web traffic routing. You need to minimize the operational and administrative effort required to manage the container orchestration infrastructure. Which Azure service should you recommend?

A company is designing a container-based solution to process sensitive transaction workloads. The design must satisfy the following requirements:
- Host containerized applications that scale dynamically based on request load.
- Minimize container infrastructure management and administrative effort.
- Ensure that transaction audit logs are stored in compliance with strict data residency laws, requiring complete isolation of logs between different geographic regions.

Which two components should you include in the design? (Select two.)

A multinational logistics provider requires a containerized architecture to process international package shipments across two distinct geographic regions: Europe and North America. The solution must adhere to the following design constraints:

* Event-driven scaling: Individual container instances must scale dynamically from $0$ to a high volume of concurrent instances based on the message volume in an Azure Service Bus queue.
* Minimal operational complexity: The cloud architecture team has no dedicated container orchestration administrators and wants to avoid managing virtual machine nodes, orchestrator control planes, or complex deployment manifests.
* Compliance and governance: Regional package processing telemetry and event logs must remain strictly within their origin region to comply with local data sovereignty laws.

Which infrastructure design meets these requirements?

A company plans to deploy a new microservices application that consists of three containerized services. The application must support automatic scaling based on HTTP request volume, including scaling down to zero instances. The operations team has no Kubernetes experience and wants to minimize administrative overhead. Which Azure service should you recommend to host the application?

A startup is designing a containerized microservices application that will process customer orders and store logs. The application consists of three simple, stateless containers. The design must meet the following requirements:

* Minimize the administrative effort required to manage the underlying container infrastructure.
* Automatically scale the containers based on the volume of incoming HTTP requests, including scaling down to zero during idle periods.
* Segregate the telemetry and application logs from different environments (development and production) into separate workspaces to comply with data access policies.

Which combination of Azure compute hosting and log monitoring configurations should you recommend?

A startup needs to host a simple, containerized web API. The solution must support automated scaling, require zero server or cluster management overhead, and provide a secure, private registry to store the container images. Which two services should you recommend?

An enterprise is designing a compute and logging architecture for a containerized order-processing application. The design must satisfy the following requirements:
- Host multiple microservices that scale dynamically based on the queue depth of an Azure Service Bus queue using Kubernetes Event-driven Autoscaling (KEDA).
- Minimize the administrative and operational overhead associated with managing cluster infrastructure and virtual machines.
- Separate log data into different geographical regions to comply with strict regional data residency regulations.

Which compute and monitoring configuration should you recommend?

An organization is designing a compute and monitoring solution for a new microservices-based application. The application will run in containers and must meet the following requirements:
- Support dynamic, event-driven scaling based on CPU utilization and Azure Service Bus queue depth.
- Minimize the administrative and operational overhead of the container infrastructure.
- Isolate log and telemetry data for two distinct departments (Finance and HR) into separate regulatory boundaries to satisfy strict data sovereignty requirements.

Which two configurations should you recommend in the design?

An enterprise administrator needs to run a single containerized database maintenance script once per week. The container executes for approximately three minutes and then terminates. The solution must minimize deployment complexity and administrative overhead. Which Azure service should you recommend?

You are designing the container compute infrastructure for a new retail analytics platform. The platform includes the following two workloads:
- A message-processing service that reads tasks from an Azure Service Bus queue and must scale dynamically based on the queue depth, including scaling down to zero instances.
- A daily reporting job that aggregates transactional data, runs for up to three hours per execution, and must execute to completion.

You need to recommend a containerized hosting solution for both workloads. The solution must minimize administrative effort.

Which two Azure container hosting options should you recommend?

A financial services company is designing a new event-driven transaction reconciliation system. The system consists of 15 microservices that run as Docker containers and scale dynamically based on the volume of messages in an Azure Service Bus queue.

The design must meet the following requirements:
- Support event-driven autoscaling using Kubernetes Event-driven Autoscaling (KEDA) specifications.
- Minimize administrative effort by avoiding the provisioning, patching, and management of container clusters, nodes, or control planes.
- Ensure strict network isolation between the development and production environments by routing all egress traffic through a centralized Azure Firewall.
- Isolate production logs from development logs in separate storage repositories to meet regulatory compliance, while preventing administrative overhead associated with managing log workspaces.

Which container hosting and logging solution should you recommend?

A financial services company is designing a system to process payment transactions from an Azure Service Bus queue using containerized worker applications. The design must satisfy the following requirements:
- Scale the container instances dynamically from $0$ to $100$ based on queue message depth.
- Support Kubernetes Event-driven Autoscaling (KEDA) natively without manual agent configuration.
- Minimize administrative effort and cluster management overhead.

Which Azure compute service should you recommend for the containerized worker applications?

An organization plans to deploy a containerized order-processing application to Azure. The application must be deployed across two separate regions (East US and West US) to meet local data sovereignty requirements.

The solution must satisfy the following requirements:
- Support event-driven scaling of containers using KEDA.
- Minimize administrative and operational overhead.
- Ensure container logs do not cross regional boundaries.

Which two configurations should you recommend in the design? (Select two.)

A logistics company is designing a hosting solution for a new containerized web API. The API is packaged as a single Docker container. The workload must support scaling down to zero instances when idle to minimize costs, and the solution must require the lowest administrative overhead. Which service should you recommend?

An enterprise is designing a container-based ingestion and processing solution for healthcare telemetry data. The telemetry is ingested in two distinct geographical regions: East US and West US. The design must accommodate the following requirements:

- Workload 1: A lightweight microservice that processes telemetry messages from an Azure Service Bus queue. The workload must support event-driven scaling using KEDA, including scaling to zero instances when no messages are present, while minimizing infrastructure management overhead.
- Workload 2: A batch processing job that runs model training algorithms. The job requires custom access to the underlying Kubernetes API to orchestrate child pods across dedicated, physically isolated compute nodes.
- Logging: Container logs from the East US and West US regions must be kept strictly segregated within their respective geographical boundaries to comply with local healthcare privacy and data residency laws.

Which three design decisions should you recommend?

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.)

An enterprise is designing a container-based application on Azure. The application consists of two workloads:

* Workload 1: An API gateway that requires custom Kubernetes Custom Resource Definitions (CRDs) and direct access to the Kubernetes control plane API.
* Workload 2: A queue processing service that scales dynamically based on the count of active messages in an Azure Service Bus queue.

The solution must minimize administrative overhead for Workload 2.

Which two services should you recommend? (Select two.)

A LegalTech company is designing a document indexing and analysis solution on Azure. The architecture must satisfy the following requirements:
- Process uploaded PDF agreements using a custom containerized parser that dynamically scales from zero based on the number of messages in an Azure Storage queue.
- Provide a containerized HTTP API front-end to receive document upload metadata.
- Run all containers on a platform that minimizes operational and infrastructure management overhead.
- Support event-driven autoscaling using KEDA natively without managing virtual machine nodes or Kubernetes control planes.
- Ensure all components are deployed securely with private IP addresses within an Azure Virtual Network.

Which compute solution should you recommend for hosting the containerized parser?