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Answer: Use Azure Data Factory to orchestrate and automate the data processing workflow, leveraging Azure Databricks or Azure HDInsight for processing large volumes of data.
Option B is the correct answer. Using Azure Data Factory to orchestrate and automate the data processing workflow allows you to efficiently manage data movement and transformation. Leveraging Azure Databricks or Azure HDInsight for processing large volumes of data enables you to handle complex workloads and optimize cost by using scalable and cost-effective resources.
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Your company is using Azure AI services to process large volumes of data. You need to ensure that the data is processed efficiently and cost-effectively. What strategies can you employ to optimize the data processing workflow?
A
Process all data in real-time without considering the volume or complexity of the data.
B
Use Azure Data Factory to orchestrate and automate the data processing workflow, leveraging Azure Databricks or Azure HDInsight for processing large volumes of data.
C
Manually process the data using a single virtual machine, without utilizing any Azure services or automation.
D
Process the data in batches without considering the need for real-time processing or the volume of data.