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DP-203 Develop data processing Practice Question

You are building a real-time dashboard that displays sales data from an Azure SQL Database. The dashboard must refresh every 30 seconds with minimal latency. You need to choose the appropriate Azure service for data processing and visualization. Which service should you use?

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

Power BI with DirectQuery mode and configure automatic page refresh.

Power BI with DirectQuery mode is the correct choice because it allows real-time queries directly against Azure SQL Database, supporting automatic page refresh every 30 seconds with minimal latency. Azure Analysis Services requires data processing and is not designed for sub-minute refreshes. Azure Data Explorer is optimized for time-series data, not for direct connection to Azure SQL Database for real-time dashboards. Azure Synapse Serverless SQL pool is meant for querying data lakes, not for real-time visualization with frequent refreshes.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Azure Analysis Services with a tabular model and a scheduled refresh every 30 seconds.

    Why it's wrong here

    Azure Analysis Services is designed for semantic models, not for sub-minute refreshes; scheduled refresh has higher latency.

  • Azure Data Explorer (ADX) with a continuous export to Power BI.

    Why it's wrong here

    ADX is not optimized for direct connection to Azure SQL Database; it is for time-series and log data.

  • Power BI with DirectQuery mode and configure automatic page refresh.

    Why this is correct

    DirectQuery mode allows real-time queries to Azure SQL Database; automatic page refresh supports 30-second intervals.

  • Azure Synapse Serverless SQL pool with Power BI import mode.

    Why it's wrong here

    Serverless SQL pool is for on-demand querying of data lake files; import mode would not achieve sub-minute refresh.

Quick reference

Cloud Service Model Comparison

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

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