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Microsoft AZ-900 Exam - Topic 2 Question 130 Discussion

You plan to store 20 TB of data in Azure. The data will be accessed infrequently and visualized by using Microsoft Power BI.You need to recommend a storage solution for the data.Which two solutions should you recommend? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.
C) Azure SQL Data Warehouse and E) Azure Data Lake
A) Azure SQL Database
B) Azure Cosmos DB
D) Azure Database for PostgreSQL

Microsoft AZ-900 Exam - Topic 2 Question 130 Discussion

Actual exam question for Microsoft's AZ-900 exam
Question #: 130
Topic #: 2
[All AZ-900 Questions]

You plan to store 20 TB of data in Azure. The data will be accessed infrequently and visualized by using Microsoft Power BI.

You need to recommend a storage solution for the data.

Which two solutions should you recommend? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Show Suggested Answer Hide Answer
Suggested Answer: C, E

Contribute your Thoughts:

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Jame
5 days ago
Yeah, it’s designed for big data.
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Laurel
10 days ago
I think Azure Data Lake is a good choice.
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Ardella
15 days ago
Not sure if Azure Cosmos DB is the right choice for infrequent access.
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Emile
20 days ago
Definitely Azure Data Lake and Azure SQL Database.
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Twana
25 days ago
Surprised Azure SQL Data Warehouse isn’t an option!
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Lisbeth
1 month ago
Yeah, Azure SQL Database is not a fit here.
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Emiko
1 month ago
I’d go with Azure Data Lake for sure!
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Cordelia
1 month ago
I feel like Azure SQL Data Warehouse could work too, but I need to double-check if it fits the infrequent access requirement.
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Erasmo
3 months ago
I’m leaning towards Azure Data Lake as one of the answers, but I’m uncertain about what the second option should be.
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Latricia
3 months ago
I remember practicing a question like this, and I think Azure SQL Database might not be suitable for such large data volumes.
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Stefany
3 months ago
I think Azure Data Lake could be a good option since it’s designed for big data and infrequent access, but I'm not sure about the second choice.
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