Compute Virtualization Solutions

An enterprise is migrating a legacy, stateful transaction processing application to Azure. The application has the following requirements:
- It requires physical isolation at the hardware host level to meet compliance and licensing standards.
- The steady-state workload requires 32 vCPUs and 256 GiB of RAM, running continuously 24/7.
- The virtual machines must have a guaranteed 99.95% availability SLA.
- The database log drive requires 20,000 IOPS and sub-millisecond latency.
- The application cannot be containerized due to kernel-level licensing checks.

Which of the following compute and storage designs should you recommend to meet the requirements while minimizing costs?

An organization is deploying a critical, steady-state production web application to Azure. The application requires continuous availability and a guaranteed service level agreement (SLA) with zero tolerance for unexpected virtual machine evictions or downtime. Which compute virtualization solution should you recommend?

A company is planning to deploy two workloads on Azure Virtual Machines:
1. A batch processing job that runs nightly, can be interrupted at any time, and requires minimal costs.
2. A critical customer-facing API that must run continuously with a 99.9% uptime SLA.

Which two of the following virtual machine deployment strategies should you recommend to meet these requirements while minimizing costs? (Select two.)

A healthcare provider plans to migrate a legacy patient records system to Azure. The system must run on dedicated physical servers that host only this provider's workloads to comply with strict regulatory isolation requirements. The workload is critical and cannot tolerate eviction or interruption. Which Azure compute virtualization solution should you recommend?

A company plans to deploy a new public-facing web application on Azure Virtual Machines. The application will run steady-state, predictable workloads 24/7 and requires a guaranteed availability SLA of 99.99%. Which two virtual machine configurations or options should you select to meet these requirements while optimizing costs? (Select two.)

A financial services company is designing a new payment processing application on Azure. The architecture consists of a transaction processing API tier and a stateful database tier. The application design must satisfy the following requirements:

* The database tier requires at least 256 GB of memory and high temporary storage throughput. To minimize SQL Server core-based licensing costs, the operating system must only see 8 vCPUs, while the database continues to utilize the memory and I/O performance of a 32-core virtual machine size.
* The transaction processing API tier handles highly sensitive financial data in transit. It must run in a secure, hardware-isolated execution environment that protects data in memory from external access, including the host operating system, hypervisor, and cloud administrators.
* The database tier must remain highly available and survive a primary datacenter outage without unexpected interruptions or evictions.

Which two compute virtualization solutions or configurations should you recommend to meet these requirements?

A logistics company is designing the Azure infrastructure for a new core order-tracking application. The application will run on Azure Virtual Machines, requires a $99.99\%$ availability SLA, and must remain operational even if a primary datacenter within the Azure region experiences a power outage. Which virtualization deployment strategy should you recommend?

A company is planning the deployment of two workloads to Azure Virtual Machines:
- Workload 1: A non-critical development testing application that runs intermittently, can tolerate interruptions, and requires the lowest possible compute cost.
- Workload 2: A production database that runs continuously in a steady state and requires high availability.

Which two of the following VM configuration strategies should you include in the design?

An enterprise plans to migrate a mission-critical, stateful database application to Azure. The application has the following requirements:
- Strict regulatory compliance mandates physical isolation at the hardware level, ensuring no other customer workloads run on the same physical host.
- The database is highly memory-intensive, requiring a memory-to-vCPU ratio of at least 8:1.
- The transaction log storage requires at least 80,000 IOPS with consistent sub-millisecond latency.
- The compute infrastructure must achieve a 99.99% availability service level agreement (SLA).
- The solution must support Azure Hybrid Benefit to minimize licensing costs.

Which compute and storage architecture should you recommend to meet these requirements?

A financial institution is designing the Azure compute infrastructure for two separate workloads:

- Workload 1: A core transaction processing system that runs steady-state, 24/7, requires physical isolation at the physical hardware level to meet regulatory compliance, and must be deployed across multiple availability zones to ensure zone-level high availability.
- Workload 2: A batch risk-modeling application that runs on weekends, is highly parallelizable, tolerant of interruptions, and must be deployed at the lowest possible cost.

Which two compute virtualization strategies should you recommend to meet these requirements? (Select two.)

An enterprise is planning to migrate a core transaction processing database to Azure. The database has the following requirements:
- Hardware isolation: The workloads must run on dedicated physical hardware that is not shared with other tenants.
- Availability: The compute tier must guarantee a 99.99% uptime SLA.
- Workload profile: The database requires high-memory capacity and low-latency storage access.

Which compute virtualization solution should you recommend to meet these requirements?

A financial services firm is planning to migrate a core risk-modeling simulation workload to Azure. The application has the following requirements:
- Complete physical isolation at the hardware level for the underlying physical servers to meet strict compliance mandates.
- In-memory data protection during processing using hardware-based enclaves that support Intel Software Guard Extensions (SGX).
- An overall availability service level agreement (SLA) of 99.99% for the virtual machines.
- The workload runs continuously and cannot tolerate unexpected evictions or interruptions.

Which two of the following configurations should you include in the infrastructure design to meet the requirements? (Select TWO).

A meteorological modeling company is designing the Azure compute virtualization infrastructure for two distinct workloads:

* Workload 1: A weather simulation model that runs daily. The model requires Message Passing Interface (MPI) support with sub-millisecond node-to-node latency, high CPU performance, and cannot tolerate interruptions during its four-hour execution window.
* Workload 2: A public-facing web API providing real-time weather alerts that requires a minimum availability SLA of 99.99% and must scale automatically to handle sudden traffic spikes.

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

A logistics company is designing the Azure compute virtualization infrastructure for its operations platform. The platform consists of two workloads:

* Workload A: A fleet telemetry ingestion service that runs continuously, requires a $99.99\%$ availability SLA, and cannot tolerate unexpected interruptions or evictions.
* Workload B: A monthly inventory forecasting simulation that can run asynchronously, can be paused and resumed, and must minimize costs as much as possible.

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

A logistics company is designing an Azure compute virtualization solution for its fleet management platform. The platform has two main requirements:

1. A core telemetry ingestion engine that runs continuously, requires consistent performance, must achieve a $99.99\%$ availability SLA, and requires memory-optimized virtual machines.
2. A daily route-optimization analysis job that runs for approximately $4$ hours, is tolerant to interruptions, and should be implemented with the lowest possible cost.

Which two compute configurations should you include in the design?

A pharmaceutical company is planning to migrate a proprietary drug-discovery modeling application to Azure. The application has the following requirements:
- The virtual machines must run on hardware dedicated to a single customer at the physical host level to meet compliance standards.
- The workload requires a memory-to-vCPU ratio of at least $8$ GiB of RAM per vCPU.
- The workload is steady-state, runs continuously, and cannot tolerate unexpected eviction or downtime.
- The storage layer requires a single disk that provides $10,000$ IOPS and $200$ MB/s throughput, with the capability to dynamically scale IOPS without resizing the disk.
- The architecture must guarantee a $99.99\%$ VM availability SLA.

Which of the following compute virtualization and storage solutions should you recommend to meet these requirements?

A healthcare analytics company is designing the Azure compute and storage infrastructure for a new real-time patient health tracking application. The architecture must satisfy the following requirements:
- The analytics engine runs steady-state, 24/7, and processes highly sensitive health records. It must protect data in use via hardware-based memory encryption.
- The compute layer must automatically scale out to handle peak loads.
- The compute infrastructure must achieve a 99.99% availability Service Level Agreement (SLA).
- The database engine stores transaction logs that require high IOPS and sub-millisecond write latency.

Which virtual machine configuration and storage architecture should you recommend?

A digital media broadcasting company is designing an Azure compute infrastructure for two new workloads:
- Workload 1: A video rendering system that processes non-urgent, interruptible background encoding tasks. The primary goal is to minimize compute costs, even if virtual machines are evicted during processing.
- Workload 2: A core licensing service that processes cryptographic keys, handles highly sensitive user data, requires physical isolation at the hardware level due to regulatory compliance, and must run continuously with a 99.99% availability SLA.

Which two compute virtualization solutions should you recommend to meet the requirements for these workloads? (Select two.)

A multinational bank is designing the compute virtualization infrastructure for a critical, steady-state financial compliance auditing application. The application has the following requirements:

- Must run continuously $24$ hours a day, $7$ days a week ($24/7$) without unexpected evictions or interruptions.
- Must be deployed on physical servers dedicated to a single customer to satisfy hardware isolation compliance rules.
- Must support memory-optimized virtual machines with high memory-to-vCPU ratios.
- Must achieve a minimum compute availability SLA of $99.99\%$.

Which of the following compute virtualization solutions should you recommend to meet these requirements?

A retail logistics company is designing the compute infrastructure for a new real-time inventory routing engine. The system has the following requirements:
- Must run continuously 24/7 as a steady-state production workload with a guaranteed virtual machine uptime SLA of 99.99%.
- Requires memory-optimized compute resources offering at least 8 GB of RAM per vCPU.
- Requires high-performance storage capable of sustaining at least 50,000 IOPS.
- Must ensure that data is encrypted in memory during execution to comply with strict internal data security standards.

Which compute and storage architecture should you recommend to meet these requirements?