Why serverless patterns matter in Azure - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create an Azure Function app with the correct runtime.

Azure

az functionapp create --resource-group myResourceGroup --consumption-plan-location westus --runtime [1] --name myFunctionApp --storage-account mystorageaccount

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Anode

Bpython

Cjava

Ddotnet

Attempts:

3 left

💡 Hint

Common Mistakes

Using a runtime that does not match the function code language.

Forgetting to specify the runtime parameter.

Azure Functions supports multiple runtimes. Here, 'python' is the correct runtime to specify for a Python function app.

2fill in blank

medium

Complete the code to add a trigger to an Azure Function that responds to HTTP requests.

Azure

func new --name HttpTrigger --template [1] --authlevel anonymous

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AHTTP trigger

BBlob trigger

CTimer trigger

DQueue trigger

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing a trigger that responds to storage events instead of HTTP.

Confusing trigger names.

The HTTP trigger allows the function to be invoked by HTTP requests, which is common in serverless patterns.

3fill in blank

hard

Fix the error in the Azure Function app settings to enable Application Insights for monitoring.

Azure

az functionapp update --name myFunctionApp --resource-group myResourceGroup --set [1]=true

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AappInsights.enabled

BapplicationInsightsKey

CapplicationInsights.enabled

DappInsightsKey

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect setting names or casing.

Confusing the key with the enabled flag.

The correct setting to enable Application Insights is 'applicationInsights.enabled'.

4fill in blank

hard

Fill both blanks to define a serverless function that triggers on a new blob upload and logs the blob name.

Azure

def main(myblob: func.InputStream):
    logging.info(f"Processing blob: [1]")
    blob_content = [2].read()

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Amyblob.name

Bmyblob

Cmyblob.content

Dmyblob.get_blob()

Attempts:

3 left

💡 Hint

Common Mistakes

Trying to call a non-existent method on the blob object.

Using incorrect property names.

The blob's name is accessed with 'myblob.name', and the content is read from 'myblob'.

5fill in blank

hard

Fill all three blanks to configure an Azure Durable Function orchestrator that calls two activity functions sequentially.

Azure

import azure.functions as func
import azure.durable_functions as df

async def orchestrator_function(context: df.DurableOrchestrationContext):
    output1 = await context.call_activity('[1]', None)
    output2 = await context.call_activity('[2]', output1)
    return [3]

main = df.Orchestrator.create(orchestrator_function)

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AActivityFunctionA

BActivityFunctionB

C[output1, output2]

Doutput2

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up the order of activity function calls.

Returning a list instead of the final output.

The orchestrator calls 'ActivityFunctionA' first, then 'ActivityFunctionB' passing the first output, and finally returns the second output.