Auto Scaling practice questions

A company wants to run a containerized application on Azure without managing virtual machines. They need automatic scaling, load balancing, and rolling updates. Which Azure compute service should they choose?

Trap 1: Azure Virtual Machine Scale Sets

VMSS manages VMs but not container orchestration; you would need to manage container deployment yourself.

Trap 2: Azure App Service

App Service supports containers but is limited in orchestration capabilities compared to AKS.

Trap 3: Azure Container Instances

ACI runs individual containers without orchestration, scaling, or rolling updates.

A
Azure Virtual Machine Scale Sets
Why wrong: VMSS manages VMs but not container orchestration; you would need to manage container deployment yourself.
B
Azure Kubernetes Service (AKS)
AKS offers full container orchestration with built-in scaling, load balancing, and rolling updates.
C
Azure App Service
Why wrong: App Service supports containers but is limited in orchestration capabilities compared to AKS.
D
Azure Container Instances
Why wrong: ACI runs individual containers without orchestration, scaling, or rolling updates.

Question 2hardmultiple choice

Your Azure subscription contains multiple virtual machines (VMs) that run a line-of-business application. You need to configure alerts when the CPU usage exceeds 90% for more than 5 minutes. Additionally, the alert must automatically trigger a runbook to scale out the application. Which Azure service should you use to create this alert?

Trap 1: Azure Automation

Automation runs runbooks but does not create alerts.

Trap 2: Azure Logic Apps

Logic Apps can be triggered by alerts, but the alert itself is created in Azure Monitor.

Trap 3: Azure Autoscale

Autoscale automatically adjusts resources but does not trigger custom runbooks.

A
Azure Automation
Why wrong: Automation runs runbooks but does not create alerts.
B
Azure Logic Apps
Why wrong: Logic Apps can be triggered by alerts, but the alert itself is created in Azure Monitor.
C
Azure Monitor metric alert
Metric alerts can trigger action groups that include runbooks.
D
Azure Autoscale
Why wrong: Autoscale automatically adjusts resources but does not trigger custom runbooks.

Question 3mediummultiple choice

You are designing a solution to provide high availability for a critical application running on Azure Virtual Machines. The virtual machines must be placed on physically separate hardware and have guaranteed availability during Azure maintenance events. Which option meets these requirements?

Trap 1: Deploy VMs in an Availability Set

Availability Sets protect against rack failures but not entire datacenter failures.

Trap 2: Deploy VMs in a Proximity Placement Group

Proximity Placement Groups are for low network latency, not high availability.

Trap 3: Deploy VMs in a Virtual Machine Scale Set

Scale Sets provide auto-scaling and distribution but not SLA-backed availability for individual VMs.

A
Deploy VMs in an Availability Set
Why wrong: Availability Sets protect against rack failures but not entire datacenter failures.
B
Deploy VMs in a Proximity Placement Group
Why wrong: Proximity Placement Groups are for low network latency, not high availability.
C
Deploy VMs in different Availability Zones
Availability Zones are physically separate datacenters within a region, providing high availability.
D
Deploy VMs in a Virtual Machine Scale Set
Why wrong: Scale Sets provide auto-scaling and distribution but not SLA-backed availability for individual VMs.

Question 4mediummultiple choice

You are designing a containerized microservices application on Azure Kubernetes Service (AKS). The application must scale automatically based on HTTP traffic. You need to minimize cost by scaling down to zero pods when there is no traffic. Which scaling solution should you use?

Trap 1: Horizontal Pod Autoscaler (HPA)

HPA cannot scale to zero pods.

Trap 2: Cluster Autoscaler

Cluster Autoscaler scales nodes, not pods.

Trap 3: Vertical Pod Autoscaler (VPA)

VPA adjusts resource limits, not pod count.

A
Horizontal Pod Autoscaler (HPA)
Why wrong: HPA cannot scale to zero pods.
B
Cluster Autoscaler
Why wrong: Cluster Autoscaler scales nodes, not pods.
C
Kubernetes Event-driven Autoscaler (KEDA)
KEDA can scale to zero based on HTTP traffic.
D
Vertical Pod Autoscaler (VPA)
Why wrong: VPA adjusts resource limits, not pod count.

Question 5hardmultiple choice

A company is designing a solution for a global e-commerce platform that requires low-latency access to product catalog data from multiple regions. The data is read-heavy with occasional updates. The solution must support automatic scaling and provide high availability. Which Azure service should you recommend?

Trap 1: Azure SQL Database with active geo-replication

SQL Database is not optimized for global low-latency reads at scale.

Trap 2: Azure Table Storage

Table Storage does not provide global distribution and low-latency reads.

Trap 3: Azure Cache for Redis

Redis is a cache, not a primary data store, and requires a backing database.

A
Azure SQL Database with active geo-replication
Why wrong: SQL Database is not optimized for global low-latency reads at scale.
B
Azure Cosmos DB with multi-region writes
Cosmos DB provides global distribution, low-latency reads, automatic scaling, and high availability.
C
Azure Table Storage
Why wrong: Table Storage does not provide global distribution and low-latency reads.
D
Azure Cache for Redis
Why wrong: Redis is a cache, not a primary data store, and requires a backing database.

Question 6mediummulti select

Which TWO services should you use to design a highly available and scalable web application on Azure that runs on Linux containers and requires automatic scaling based on HTTP traffic? (Choose two.)

Trap 1: Azure Load Balancer

Load Balancer is for TCP/UDP traffic, not HTTP-specific autoscaling.

Trap 2: Azure Web App for Containers

Web App for Containers does not support automatic scaling based on HTTP traffic as effectively as AKS.

Trap 3: Azure Container Instances (ACI)

ACI is for simple, single container deployments without orchestration.

A
Azure Load Balancer
Why wrong: Load Balancer is for TCP/UDP traffic, not HTTP-specific autoscaling.
B
Azure Web App for Containers
Why wrong: Web App for Containers does not support automatic scaling based on HTTP traffic as effectively as AKS.
C
Azure Application Gateway
Application Gateway provides HTTP load balancing and can route to AKS.
D
Azure Kubernetes Service (AKS)
AKS orchestrates containers and supports autoscaling based on HTTP metrics.
E
Azure Container Instances (ACI)
Why wrong: ACI is for simple, single container deployments without orchestration.

Question 7mediummultiple choice

Your company is deploying a web application that experiences unpredictable traffic spikes. You need to ensure the application can handle sudden increases in load automatically without manual intervention and minimize costs during low traffic periods. Which Azure service should you use?

Trap 1: Azure App Service with manual scale-out

Manual scaling requires human intervention and cannot respond to spikes automatically.

Trap 2: Azure Functions with consumption plan

Azure Functions is for short-running functions, not full web applications.

Trap 3: Azure Container Instances

Container Instances do not have built-in autoscaling; requires additional orchestration.

A
Azure App Service with manual scale-out
Why wrong: Manual scaling requires human intervention and cannot respond to spikes automatically.
B
Azure Functions with consumption plan
Why wrong: Azure Functions is for short-running functions, not full web applications.
C
Virtual Machine Scale Set with autoscale
Scale Sets with autoscale rules automatically adjust capacity based on metrics.
D
Azure Container Instances
Why wrong: Container Instances do not have built-in autoscaling; requires additional orchestration.

Question 8easymultiple choice

Your company has a web application deployed on Azure App Service that experiences periodic traffic spikes. You need to ensure the application scales out quickly without manual intervention. The solution must minimize cost during low-traffic periods. What should you configure?

Trap 1: Enable pre-warming in the App Service plan

Not a scaling mechanism.

Trap 2: Deploy the app to a Virtual Machine Scale Set

Not applicable to App Service.

Trap 3: Manually increase the instance count before expected spikes

Requires manual intervention.

A
Enable pre-warming in the App Service plan
Why wrong: Not a scaling mechanism.
B
Configure Autoscale rules based on CPU or memory metrics
Automatically adjusts instances.
C
Deploy the app to a Virtual Machine Scale Set
Why wrong: Not applicable to App Service.
D
Manually increase the instance count before expected spikes
Why wrong: Requires manual intervention.

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Question 9mediummultiple choice

A healthcare organization is migrating its on-premises applications to Azure. The applications use custom authentication and authorization logic and require low latency between application tiers. The organization needs to ensure that the applications can scale out dynamically based on user demand, and that costs are minimized by only paying for resources when they are used. The applications are expected to have variable traffic patterns, with peak usage during business hours and low usage at night. You need to design a compute solution that meets these requirements. What should you recommend?

Trap 1: Migrate the applications to Azure Virtual Machine Scale Sets with…

VMs require more management and are less cost-effective than App Service.

Trap 2: Migrate the applications to Azure Functions with consumption plan.

Functions are for event-driven workloads, not stateful apps with custom auth.

Trap 3: Migrate the applications to Azure Kubernetes Service (AKS) with…

AKS adds operational complexity and cost for simple web apps.

A
Migrate the applications to Azure Virtual Machine Scale Sets with autoscaling.
Why wrong: VMs require more management and are less cost-effective than App Service.
B
Migrate the applications to Azure App Service with autoscaling enabled.
App Service supports custom auth, autoscaling, and consumption-based billing.
C
Migrate the applications to Azure Functions with consumption plan.
Why wrong: Functions are for event-driven workloads, not stateful apps with custom auth.
D
Migrate the applications to Azure Kubernetes Service (AKS) with cluster autoscaler.
Why wrong: AKS adds operational complexity and cost for simple web apps.

Question 10easymulti select

Your company is designing a disaster recovery solution for a three-tier application hosted on Azure VMs. The solution must meet the following requirements: - RPO: 1 hour - RTO: 4 hours - Automated failover to a secondary region - Cost optimization is a priority Which TWO actions should you include in the design?

Trap 1: Use Azure Backup to take hourly backups of the VMs and restore them…

Azure Backup does not provide automated failover; restore is manual and slower.

Trap 2: Configure a read-only replica of the application tier in the…

Read-only replicas do not support write operations; not suitable for failover.

Trap 3: Deploy Azure Front Door with a backend pool containing both primary…

Front Door is for global traffic management, but it does not replicate VMs or handle failover automatically.

A
Deploy an Azure Load Balancer in the secondary region with health probes to automatically route traffic after failover.
Load balancer with health probes can redirect traffic to healthy backend VMs in the secondary region.
B
Use Azure Backup to take hourly backups of the VMs and restore them in the secondary region.
Why wrong: Azure Backup does not provide automated failover; restore is manual and slower.
C
Configure a read-only replica of the application tier in the secondary region using Availability Zones.
Why wrong: Read-only replicas do not support write operations; not suitable for failover.
D
Deploy Azure Front Door with a backend pool containing both primary and secondary regions.
Why wrong: Front Door is for global traffic management, but it does not replicate VMs or handle failover automatically.
E
Configure Azure Site Recovery replication for all application VMs from primary to secondary region.
ASR replicates VMs and supports automated failover with the required RPO/RTO.