Microsoft Azure Online Assessment Questions & Answers

Create an RBAC-enabled vault, grant yourself Key Vault Secrets Officer, then set and read the secret: az keyvault create -g rg-sec -n kv-shop-prod \ --location centralindia --enable-rbac-authorization true az keyvault secret set --vault-name kv-shop-prod \ --name SqlPassword --value 'S3cure#Pass' az keyvault secret show --vault-name kv-shop-prod \ --name SqlPassword --query value -o tsv

Query the requests table, summarise duration and sort: requests | where timestamp > ago(1d) | summarize count(), avgDuration = avg(duration), p95 = percentile(duration, 95) by name | top 10 by p95 desc In a workspace-based resource, the table is AppRequests with TimeGenerated and DurationMs columns instead.

The v2 model uses decorators in function_app.py, so no function.json is needed: import azure.functions as func app = func.FunctionApp(http_auth_level=func.AuthLevel.FUNCTION) @app.route(route='hello', methods=['GET']) def hello(req: func.HttpRequest) -> func.HttpResponse: name = req.params.get('name', 'world') return func.HttpResponse(f'Hello, {name}', status_code=200) Callers pass the function key in the code query parameter or x-functions-key header.

Use ACR Tasks to build in the cloud from your source folder: az acr build --registry acrshopprod \ --image shop-api:$(git rev-parse --short HEAD) . ACR Tasks can also rebuild automatically on a Git commit or when the base image is updated, which helps patch OS vulnerabilities without manual work.

Query the Perf table collected by the Azure Monitor Agent, or InsightsMetrics with VM Insights: Perf | where TimeGenerated > ago(1h) | where ObjectName == 'Processor' and CounterName == '% Processor Time' | where InstanceName == '_Total' | summarize avgCpu = avg(CounterValue) by Computer | where avgCpu > 80 | order by avgCpu desc

Filter on the partition key so the query hits one partition and stays cheap: SELECT c.id, c.orderDate, c.total FROM c WHERE c.customerId = @customerId AND c.total > 5000 ORDER BY c.orderDate DESC ORDER BY on orderDate needs a range index, which the default indexing policy includes. Check the RU charge in the response headers.

Configure the azurerm backend and provider, then resources: terraform { backend "azurerm" { resource_group_name = "rg-tfstate" storage_account_name = "sttfstateprod" container_name = "state" key = "network.tfstate" use_azuread_auth = true } } provider "azurerm" { features {} } resource "azurerm_resource_group" "net" { name = "rg-net-prod" location = "centralindia" } resource "azurerm_virtual_network" "hub" { name = "vnet-hub" location = azurerm_resource_group.net.location resource_group_name = azurerm_resource_group.net.name address_space = ["10.0.0.0/16"] }

Filter Get-AzVM output on the Tags hashtable and export the result for review: Connect-AzAccount Get-AzVM | Where-Object { -not $_.Tags -or -not $_.Tags.ContainsKey('env') } | Select-Object Name, ResourceGroupName, Location | Export-Csv untagged-vms.csv -NoTypeInformation For large estates, Azure Resource Graph queries are faster across many subscriptions.