HOTSPOT - You need to design storage for the solution. Which storage services should you recommend? To answer, select the appropriate configuration in the answer area. NOTE: Each correct selection is worth one point. Hot Area:
Suggested Answer:
Images: Azure Data Lake Storage - Scenario: Image data must be stored in a single data store at minimum cost. Customer data: Azure Blob Storage Scenario: Customer data must be analyzed using managed Spark clusters. Spark clusters in HDInsight are compatible with Azure Storage and Azure Data Lake Storage. Azure Storage includes these data services: Azure Blob, Azure Files, Azure Queues, and Azure Tables. Reference: https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview Design Azure data storage solutions
Wouldn't it depend on how often are these analytical queries made on customer data? If they are infrequent then it would be probably cheaper to hold the data on hyperscale Azure SQL and use polybase to load it to non-dedicated synapse pool
Customer Data Should be stored Azure Synapse Analytics
Check this:
The New York office hosts SQL Server databases that stores massive amounts of customer data
parallel processing of customer data
Topic 17/Q2: You plan to use an enterprise data warehouse in Azure Synapse Analytics to store the customer data. You need to recommend a disaster recovery solution for the data warehouse.
Spark clusters in HDInsight are compatible with Azure Blob storage, Azure Data Lake Storage Gen1, or Azure Data Lake Storage Gen2. So you can use HDInsight Spark clusters to process your data stored in Azure
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview
You can see the solution in " Support for Azure Storage Spark clusters in HDInsight can use Azure Data Lake Storage Gen1/Gen2 as both the primary storage or additional storage. "
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview
The answer is correct
Before moving to Azure, The New York office hosts SQL Server databases that stores massive amounts of customer data.
After moving to Azure Customer data must be analyzed using managed Spark clusters. and Power BI must be used to visualize transformed customer data.
For Images: Azure Data Lake Storage or Azure Blob Storage both are ok
For Customer data: Azure SQL database or Azure Synapse Analytics both are ok
Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment
I would say DW for customer data
upvoted 2 times
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