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    PracticeAzure Solutions Architect Expert (AZ-305)Azure Solutions Architect Expert AZ-305 Practice Exam 3Question 28
    Hard1 markMultiple Choice
    Domain 2.4: Non-relational data storageDomain 2Non-Relational DataAzure Data ExplorerTime-Series

    AZ-305 · Question 28 · Domain 2.4: Non-relational data storage

    A manufacturing company has 5,000 factory machines equipped with sensors. The sensors generate 10 TB of time-series telemetry data per day.

    Data analysts need to perform interactive, ad-hoc queries over the last 6 months of data to identify anomaly patterns. The queries often involve complex aggregations, time-windowing, and joining massive datasets. The solution must provide sub-second query performance.

    Which TWO Azure services should you combine to ingest and analyze this data? (Select TWO)

    Answer options:

    A.

    Azure Event Hubs

    B.

    Azure Cosmos DB Table API

    C.

    Azure Data Explorer

    D.

    Azure SQL Database

    E.

    Azure Cache for Redis

    How to approach this question

    Identify the ingestion service for high-throughput telemetry (Event Hubs) and the analytics engine optimized for time-series data (Data Explorer).

    Full Answer

    Azure Event Hubs, Azure Data Explorer
    Azure Event Hubs is the ideal ingestion service for high-throughput streaming data from IoT sensors. Azure Data Explorer (ADX) is a highly scalable data exploration service for log and telemetry data. It natively integrates with Event Hubs and uses KQL to perform lightning-fast, complex aggregations and time-windowing queries over massive time-series datasets.

    Common mistakes

    Selecting Cosmos DB. While Cosmos DB is fast, ADX is specifically purpose-built and vastly more cost-effective for append-only time-series analytics.
    Question 27All questionsQuestion 29

    Practice the full Azure Solutions Architect Expert AZ-305 Practice Exam 3

    55 questions · hints · full answers · grading

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