Microsoft DP900 Exam Dumps|QAs Page -4

Last updated on July 14th, 2024 at 12:36 am

Microsoft DP900 Exam Dumps post contains real and latest questions for Microsoft Azure Fundamentals.

Microsoft DP900 Exam Dumps

Microsoft DP900 Exam Dumps – QAs 16-20

Q16. HOTSPOT –
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

dp900_question 16
Correct answer
dp900_answer 16

Reference:
https://docs.microsoft.com/en-us/azure/architecture/guide/technology-choices/data-store-overview

Q17. HOTSPOT –
Select the answer that correctly completes the sentence.
Hot Area:

dp900_question 17
Correct answer
dp900_answer 17

Reference:
https://docs.microsoft.com/en-us/azure/architecture/guide/technology-choices/data-store-overview

Q18. DRAG DROP –
Your company plans to load data from a customer relationship management (CRM) system to a data warehouse by using an extract, load, and transform (ELT) process.
Where does data processing occur for each stage of the ELT process? To answer, drag the appropriate locations to the correct stages. Each location may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:

dp900_question 18
Correct answer
dp900_answer 18

Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl

Q19. HOTSPOT –
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

dp900_question 19
Correct answer
dp900_answer 19

Reference:
https://azure.microsoft.com/en-us/blog/answering-whats-happening-whys-happening-and-what-will-happen-with-iot-analytics/

Q20. What are two characteristics of real-time data processing? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

  1. Data is processed periodically
  2. Low latency is expected
  3. High latency is acceptable
  4. Data is processed as it is created
Correct answer

2. Low latency is expected
4. Data is processed as it is created

Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/real-time-processing

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