DP-900 Auto-scaling Practice Question
Which THREE are benefits of using Azure SQL Database serverless compute tier?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Billing per second for compute usage
Azure SQL Database serverless compute tier offers billing per second for compute usage (B), auto-scaling compute based on workload (C), and auto-pause during periods of inactivity (D). These features provide cost savings and automatic scaling for intermittent workloads. However, serverless does not guarantee a 99.99% SLA (A) and is not ideal for high-throughput, latency-sensitive applications (E) due to potential cold starts.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Guaranteed high availability with 99.99% SLA
Why it's wrong here
Serverless does not have a compute SLA; storage SLA applies.
- ✓
Billing per second for compute usage
Why this is correct
Billed per second of compute usage.
- ✓
Auto-scaling compute based on workload
Why this is correct
Serverless automatically scales compute resources.
- ✓
Auto-pause during periods of inactivity
Why this is correct
Database auto-pauses to save costs.
- ✗
Ideal for high-throughput, latency-sensitive applications
Why it's wrong here
Serverless may have cold start delays.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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