Microsoft Azure Data Fundamentals DP-900 Exam Questions in PDF

Free Microsoft DP-900 Dumps Questions (page: 1)

HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:


Reference:

https://demand-planning.com/2020/01/20/the-differences-between-descriptive-diagnostic-predictive-cognitive-analytics/



HOTSPOT (Drag and Drop is not supported)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:


Reference:

https://www.sqlshack.com/what-is-database-normalization-in-sql-server/



HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:



Extract, transform, and load (ETL) is a data pipeline used to collect data from various sources, transform the data according to business rules, and load it into a destination data store.


Reference:

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



HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:



When to use batch processing.
You might expect latencies when using batch processing. For many situations, however, this type of delay before the transfer of data begins is not a big issue - the processes that use this function are not mission critical at the exact moment.


Reference:

https://www.bmc.com/blogs/what-is-batch-processing-batch-processing-explained/



HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:


Reference:

https://azure.microsoft.com/en-us/services/cognitive-services/speech-services/



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A
AI Tutor Explanation
5/16/2026 7:04:20 AM

Question 4:
Question 4 is about when to use batch processing.

  • Answer key: A (the option related to “When to use batch processing”).
  • Core idea: Batch processing is used when you can tolerate some delay and don’t need results instantly. Data is collected over a period, then processed together in a batch.

Why this is correct:
  • Latencies are expected with batch jobs. The system processes data in groups rather than as soon as data arrives.
  • The processes are often not mission-critical at the exact moment they run, so delays don’t impact operations.

Key concepts to know:
  • Batch processing vs real-time processing: Batch processes collect data and run at scheduled times or when resources are available, whereas real-time processing handles data immediately.
  • When to use batch processing:
- High-volume data where immediate results aren’t required - Tasks that can be scheduled (e.g., nightly ETL, end-of-day payroll, bulk reports) - When cost or resource utilization is optimized by processing in groups
Examples: nightly data aggregation, batch payroll processing, end-of-day reconciliations.
If you want, I can walk through how to identify the right scenario for batch vs real-time in practice.

G
Gerrard
3/18/2026 6:58:37 AM

The DP-900 exam can be tricky if you aren't familiar with Microsoft’s specific cloud terminology. I used the practice questions from free-braindumps.com and found them incredibly helpful. The site breaks down core data concepts and Azure services in a way that actually mirrors the real test. As a resutl I passed my exam.

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