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Microsoft DP-900 Exam - Topic 1 Question 117 Discussion

Actual exam question for Microsoft's DP-900 exam
Question #: 117
Topic #: 1
[All DP-900 Questions]

Your company is designing a database that will contain session data for a website. The data will include

notifications, personalization attributes, and products that are added to a shopping cart.

Which type of data store will provide the lowest latency to retrieve the data?

Show Suggested Answer Hide Answer
Suggested Answer: C

https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/analytical-data-stores

by Francine at Jan 25, 2026, 04:28 PM

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Cory
5 days ago
I remember practicing a question about data retrieval speeds, and I think NoSQL databases could also be a good option, but they might not be the fastest.
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Osvaldo
10 days ago
I think we might need to consider using an in-memory data store like Redis for low latency, but I'm not entirely sure.
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Mitsue
15 days ago
Ooh, good point about the shopping cart data. I was thinking more about the notifications and personalization, but we'll need to optimize for all the different data types. Lots to consider here!
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Daniel
20 days ago
I'd probably lean towards a columnar database like Amazon Redshift or Google BigQuery. They're designed for fast analytical queries, which could be useful for the shopping cart data.
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Latosha
25 days ago
Definitely going to need to do some research on the different data store options and their performance characteristics. Latency is key, but we'll also need to consider scalability and consistency requirements.
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Carline
1 month ago
Hmm, I'm not sure. I'd need to think more about the access patterns and volume of data. A NoSQL database like MongoDB or Cassandra might also work well for this use case.
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Shanda
1 month ago
I think I'd start by considering the different types of data we need to store and how they might be accessed. Notifications and personalization data are likely accessed frequently, so a low-latency store like Redis or Memcached could be a good option.
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