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DP-203 Develop data processing Practice Question

You are developing a data pipeline in Azure Data Factory that ingests data from multiple on-premises SQL Server databases to Azure Data Lake Storage Gen2. The data volume is about 1 TB per day. You need to ensure the pipeline can handle the volume and provide monitoring and alerting. Which THREE components should you include?

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

Self-hosted integration runtime

Correct answers: B, C, and E. Self-hosted integration runtime (B) is required for connectivity to on-premises SQL Server databases. Azure Monitor (C) provides monitoring and alerting for the pipeline. Data flow activity (E) allows data transformation at scale. Option A is incorrect because Azure Synapse Analytics pipeline is not used in this context; the pipeline is in Azure Data Factory. Option D is incorrect because Power BI is for visualization, not data ingestion.

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 Synapse Analytics pipeline

    Why it's wrong here

    Not needed for this ingestion pipeline.

  • Self-hosted integration runtime

    Why this is correct

    Required to connect to on-premises SQL Server.

  • Azure Monitor

    Why this is correct

    Provides monitoring and alerting for the pipeline.

  • Power BI

    Why it's wrong here

    Used for reporting, not data ingestion.

  • Data flow activity

    Why this is correct

    Can perform transformations at scale.

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