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Free DP-900 Exam Braindumps (page: 9)

Page 8 of 72
PDF with 306 Questions

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:




Descriptive, to answer the question. What's happening?



Note: Azure Media Indexer enables you to make content of your media files searchable and to generate a full-text transcript for closed captioning and keywords.
You can process one media file or multiple media files in a batch.


Reference:

https://demand-planning.com/2020/01/20/the-differences-between-descriptive-diagnostic-predictive-cognitive-analytics/ https://azure.microsoft.com/en-us/blog/answering-whats-happening-whys-happening-and-what-will-happen-with-iot-analytics/ https://docs.microsoft.com/en-us/azure/media-services/previous/media-services-index-content



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:



Generally speaking, data analytics comes in four types:
1. Descriptive, to answer the question. What's happening?
2. Diagnostic, to answer the question. Why's happening?
3. Predictive, to answer the question. What will happen?
4. Prescriptive, to answer the question.
What actions should we take?


Reference:

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



HOTSPOT (Drag and Drop is not supported)
Select the answer that correctly completes the sentence.

  1. See Explanation section for answer.

Answer(s): A

Explanation:


Box: a data pipeline that includes a transformation engine.
Extract, transform, and load (ETL) process
Extract, transform, and load (ETL) is a data pipeline used to collect data from various sources. It then transforms the data according to business rules, and it loads the data into a destination data store. The transformation work in ETL takes place in a specialized engine, and it often involves using staging tables to temporarily hold data as it is being transformed and ultimately loaded to its destination.

Incorrect:
* a target store more powerful to transform data
With ELT, the data store used to perform the transformation is the same data store where the data is ultimately consumed.


Reference:

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



You need to create an Azure resource to store data in Azure Table storage.
Which command should you run?

  1. az storage share create
  2. az storage account create
  3. az cosmosdb create
  4. az storage container create

Answer(s): B


Reference:

https://docs.microsoft.com/en-us/cli/azure/storage/container?view=azure-cli-latest






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