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    PracticeAzure Solutions Architect Expert (AZ-305)Azure Solutions Architect Expert AZ-305 Practice Exam 1Question 28
    Medium1 markMultiple Choice
    Domain 2.4: Design a data storage solution for non-relational dataDomain 2Non-Relational DataAzure Data ExplorerTime-series

    AZ-305 · Question 28 · Domain 2.4: Design a data storage solution for non-relational data

    A logistics company wants to analyze GPS tracking data from its fleet of 100,000 trucks.

    The trucks send location and engine telemetry every 5 seconds. The data engineering team needs to perform complex, ad-hoc time-series analysis on this massive volume of append-only log data to identify route inefficiencies. The query language must support advanced analytics, windowing, and text search.

    Which Azure data service is best suited for this workload?

    Answer options:

    A.

    Azure Data Explorer (Kusto)

    B.

    Azure Cosmos DB

    C.

    Azure SQL Database

    D.

    Azure Cache for Redis

    How to approach this question

    Match 'time-series analysis', 'append-only log data', and 'massive volume telemetry' to Azure Data Explorer.

    Full Answer

    A.Azure Data Explorer (Kusto)✓ Correct
    Azure Data Explorer (ADX) is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. It is specifically optimized for append-only, time-series, and log data. It uses the Kusto Query Language (KQL), which is highly optimized for text search and time-window analytics.

    Common mistakes

    Choosing Cosmos DB. While Cosmos DB is great for IoT state management, ADX is the purpose-built tool for ad-hoc analytics on the historical telemetry logs.
    Question 27All questionsQuestion 29

    Practice the full Azure Solutions Architect Expert AZ-305 Practice Exam 1

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