Fundamental
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Fundamental
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How Serverless Computing Handles Event Spikes
Free sample question, answered and explained below. The AZ-900 Microsoft Azure Fundamentals Exam practice bank has 688 more like it. Try 10 free: instant score, no account.
A retail company is developing a lightweight backend process that triggers only when customers upload receipt images. The application experiences unpredictable traffic spikes during promotional events, as well as extended periods with zero incoming requests.
The development team needs an architecture that satisfies the following requirements:
- Eliminates the need to provision, configure, or maintain underlying servers
- Automatically scales compute resources in response to incoming events
- Bills only for the exact execution time and resources used when processing events
Which cloud computing model best meets these requirements?
Explanations
Dedicated Host hosting
Dedicated Host hosting
What Dedicated Host Hosting Is
Dedicated Host hosting provides physical cloud servers dedicated exclusively to a single customer organization, allowing virtual machines to run on isolated hardware without multitenancy.
Why It Doesn't Meet the Requirement
- Fixed infrastructure commitment: Customers pay for the entire physical server capacity regardless of whether virtual machines are running or processing workloads.
- Significant management overhead: Administrators must manage host configurations, VM allocations, and software maintenance.
- No pay-per-execution billing: Costs accrue constantly based on the dedicated hardware allocation rather than transactional activity.
Key Characteristics and Limitations
- Hardware isolation: Eliminates noisy neighbor issues and meets strict regulatory compliance requirements.
- Licensing benefits: Allows utilization of existing per-core software licenses.
- Inflexible cost structure: High ongoing fixed expenses regardless of real-time application usage.
This Answer Would Be Correct If
The company had strict compliance, regulatory, or licensing constraints requiring complete physical isolation of physical hardware.
Additional Context
Dedicated hosts represent the opposite of serverless computing in terms of resource flexibility, cost elasticity, and infrastructure abstraction.
Infrastructure as a Service (IaaS)
Infrastructure as a Service (IaaS)
What Infrastructure as a Service (IaaS) Is
Infrastructure as a Service (IaaS) is a cloud computing service model that provides on-demand access to fundamental computing resources, such as virtual machines (VMs), storage, and networking hardware.
Why It Doesn't Meet the Requirement
- Requires server management: Under an IaaS model, the customer is responsible for configuring, updating, and patching the operating system, middleware, and installed applications.
- Continuous compute costs: Virtual machines generally incur continuous per-hour or per-second billing while running, even when idle and not actively processing requests.
- Manual scaling configuration: Although autoscaling rules can be defined, infrastructure must still be configured, provisioned, and managed by administrators.
Key Characteristics and Limitations
- Maximum administrative control: Provides full access to OS-level configurations and kernel settings.
- Shared responsibility: Places patching, networking security rules, and runtime maintenance on the customer.
- Ongoing operational overhead: Requires dedicated staff time for monitoring, capacity planning, and updates.
This Answer Would Be Correct If
The organization required full control over operating system customization, specific kernel extensions, or legacy software that cannot run in modern containerized or managed environments.
Additional Context
IaaS represents the traditional cloud migration model where physical servers are replaced with virtualized compute instances, contrasting with modern serverless architectures.
High-performance computing (HPC) batch clustering
High-performance computing (HPC) batch clustering
What HPC Batch Clustering Is
High-Performance Computing (HPC) batch clustering coordinates large pools of interconnected compute nodes to execute parallel, computationally intensive calculations and batch workloads.
Why It Doesn't Meet the Requirement
- Designed for heavy batch tasks: Optimized for large scientific simulations, financial modeling, or rendering jobs rather than lightweight, event-triggered requests.
- Complex infrastructure management: Involves configuring VM clusters, scheduling engines, MPI frameworks, and storage mounts.
- Not event-driven: Does not naturally scale down to zero instantly for lightweight, sporadic event processing.
Key Characteristics and Limitations
- High compute density: Harnesses thousands of CPU or GPU cores simultaneously.
- Batch orchestration: Manages queues of compute-heavy tasks distributed across nodes.
- Resource orchestration: Requires provisioning scalable collections of VMs rather than completely abstracting the server layer.
This Answer Would Be Correct If
The organization needed to run massive, distributed numerical simulations, genomic sequencing, or 3D rendering jobs across hundreds of compute nodes.
Additional Context
While batch services can autoscale virtual machines, they are engineered for sustained high-throughput computation rather than instantaneous event-driven serverless executions.
Serverless computing
Serverless computing
What Serverless Computing Is
Serverless computing is a cloud execution model where the cloud service provider dynamically manages the provisioning, scaling, and maintenance of the underlying physical and virtual servers. Developers can focus solely on writing and deploying application code without managing the infrastructure required to run it.
How It Meets the Requirements
- Abstraction of server management: Serverless removes administrative overhead such as operating system patching, server provisioning, and capacity planning.
- Automatic event-driven scaling: Compute instances scale out automatically as incoming event volume increases and scale down to zero when idle.
- Pay-per-execution pricing: Billing is tied directly to the execution duration and resource consumption during active processing, avoiding costs during idle periods.
Key Advantages and Capabilities
- Event-driven execution: Triggers execute code in response to HTTP requests, database modifications, queue messages, or file uploads.
- Zero idle cost: When no requests are active, compute resources scale to zero, resulting in zero compute billing.
- Built-in high availability: Resilience and fault tolerance are handled natively by the cloud platform.
- Developer productivity: Engineering teams focus entirely on business logic rather than server maintenance.
Why This Is Optimal
For workloads with sporadic or unpredictable traffic patterns, serverless computing eliminates over-provisioning costs and operational complexity, making it the ideal architectural model.
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