Performance efficiency pillar in Azure - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create an Azure Virtual Machine with the Standard_DS1_v2 size for better performance.

Azure

az vm create --resource-group myResourceGroup --name myVM --image UbuntuLTS --size [1]

Drag options to blanks, or click blank then click option'

ABasic_A0

BStandard_B1s

CStandard_DS1_v2

DStandard_F1

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing a basic or burstable VM size that limits performance.

Using a VM size not supported in the region.

The Standard_DS1_v2 size provides a balanced CPU-to-memory ratio suitable for performance efficiency.

2fill in blank

medium

Complete the code to enable Azure Monitor autoscale for a VM scale set to improve performance efficiency.

Azure

az monitor autoscale create --resource-group myResourceGroup --resource myScaleSet --resource-type Microsoft.Compute/virtualMachineScaleSets --name autoscaleSetting --min-count 1 --max-count [1] --count 2

Drag options to blanks, or click blank then click option'

A10

B5

C0

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Setting max-count less than or equal to min-count disables scaling out.

Setting max-count to zero disables scaling.

Setting max-count to 5 allows the scale set to increase instances to handle load spikes, improving performance.

3fill in blank

hard

Fix the error in the Azure CLI command to create a performance-optimized storage account with Premium SSD.

Azure

az storage account create --name mystorageacct --resource-group myResourceGroup --sku [1] --kind StorageV2

Drag options to blanks, or click blank then click option'

ABasic_LRS

BStandard_LRS

CStandard_GRS

DPremium_LRS

Attempts:

3 left

💡 Hint

Common Mistakes

Using Standard SKUs which do not provide premium performance.

Using Basic SKU which is not valid for StorageV2.

The Premium_LRS SKU provides high-performance SSD storage suitable for performance efficiency.

4fill in blank

hard

Fill both blanks to configure an Azure SQL Database with the correct performance tier and compute size.

Azure

az sql db create --resource-group myResourceGroup --server myServer --name myDatabase --service-objective [1] --compute-model [2]

Drag options to blanks, or click blank then click option'

AGP_Gen5_2

BBasic

CProvisioned

DServerless

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing Basic tier which has limited performance.

Using Serverless compute which may have variable performance.

GP_Gen5_2 is a General Purpose tier with 2 vCores for performance. Provisioned compute model allocates fixed resources for consistent performance.

5fill in blank

hard

Fill all three blanks to create an Azure App Service plan optimized for performance with the correct SKU, tier, and number of instances.

Azure

az appservice plan create --name myAppServicePlan --resource-group myResourceGroup --sku [1] --is-linux true --number-of-workers [2] --tier [3]

Drag options to blanks, or click blank then click option'

AP1v3

B3

CPremiumV3

DB1

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing Basic SKU or tier which limits performance.

Setting number of workers to 1 which limits scaling.

P1v3 SKU in the PremiumV3 tier provides high performance. Setting number-of-workers to 3 allows scaling out to handle more load.