DP-201 Exam - Question 186

Question

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:.

Examice · Accepted Answer

Images: Azure Data Lake Storage -Scenario: Image data must be stored in a single data store at minimum cost. Customer data: Azure Blob StorageScenario: 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-overviewDesign Azure data storage solutions.

Mittun · Answer

most of the case study answers are incorrect for DP-201. Need to be very careful. I am diapponted. Waste of time.

kz_data · Answer

Shouldn't be A- Blob Storage (minimum cost) and B- DW?

anamaster · Answer

images -> data lake (2TB each day)
customer data -> synapse (massive amount of data, case requires parallel processing)

Qrm_1972 · Answer

From Topic 17 / Question 2, you will know the answer to Topic 16/ Question 4/ part 2 ( Customer Data ) is : Azure Synapse Analytics

AlexD332 · Answer

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

AlexD332 · Answer

Q1 Topic 17
You plan to use an enterprise data warehouse in Azure Synapse Analytics to store the customer data.

Qrm_1972 · Answer

From Topic 17 / Question 1, you will know the answer to Topic 16/ Question 4/ part 2 ( Customer Data ) is : Azure Synapse Analytics.

hoangton · Answer

Images: data lake
Customer: synapse analytics
Because
parallel processing of customer data
hyper-scale storage of images

Wendy_DK · Answer

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

Qrm_1972 · Answer

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

Qrm_1972 · Answer

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

vrmei · Answer

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

vrmei · Answer

Azure SQL Database support HyperScale Storage
check this:
hyper-scale storage of images

michalS · Answer

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

DP-201 Exam - Question 186

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