DP-900 Exam Questions and Answers | Exam-Dumps (Page: 5)

QUESTION: 21

DRAG DROP (Drag and Drop is not supported)
Match the types of data to the appropriate Azure data services.
To answer, drag the appropriate data type from the column on the left to its service on the right. Each data type may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Select and Place:

See Explanation section for answer.

Answer(s): A

Explanation:

Box 1: Image files
Azure Blob storage is suitable for image files.
Box 2:Key/value pairs
Azure CosmosDB table API is a key-value storage hosted in the cloud.
Box 3: Relationship between employees
One-to-many relationships between business domain objects occur frequently: for example, one department has many employees. There are several ways to implement one-to-many relationships in the Azure Table service.

Reference:

https://docs.microsoft.com/en-us/azure/storage/tables/table-storage-design-modeling

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QUESTION: 22

DRAG DROP (Drag and Drop is not supported)
Match the Azure Data Lake Storage Gen2 terms to the appropriate levels in the hierarchy.
To answer, drag the appropriate term from the column on the left to its level on the right. Each term may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Select and Place:

See Explanation section for answer.

Answer(s): A

Explanation:

Box 1: Azure Storage account
Azure file shares are deployed into storage accounts, which are top-level objects that represent a shared pool of storage.
Box 2: File share

Reference:

https://docs.microsoft.com/en-us/azure/storage/files/storage-how-to-create-file-share

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QUESTION: 23

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

Data is processed periodically
Low latency is expected
High latency is acceptable
Data is processed as it is created

Answer(s): B,D

Explanation:

Real time processing deals with streams of data that are captured in real-time and processed with minimal latency to generate real-time (or near-real-time) reports or automated responses.

Reference:

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

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QUESTION: 24

DRAG DROP (Drag and Drop is not supported)
Match the Azure Data Factory components to the appropriate descriptions.
To answer, drag the appropriate component from the column on the left to its description on the right. Each component may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Select and Place:

See Explanation section for answer.

Answer(s): A

Explanation:

Box 1: Dataset
Datasets must be created from paths in Azure datastores or public web URLs, for the data to be accessible by Azure Machine Learning.
Box 2: Linked service
Linked services are much like connection strings, which define the connection information needed for Data Factory to connect to external resources.
Box 3: Pipeline
A pipeline is a logical grouping of activities that together perform a task.

Reference:

https://k21academy.com/microsoft-azure/dp-100/datastores-and-datasets-in-azure/ https://docs.microsoft.com/en-us/azure/data-factory/concepts-linked-services https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities

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QUESTION: 25

DRAG DROP (Drag and Drop is not supported)
Match the types of workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Select and Place:

See Explanation section for answer.

Answer(s): A

Explanation:

Box 1: Batch
Batch processing refers to the processing of blocks of data that have already been stored over a period of time.
Box 2: Streaming
Stream processing is a big data technology that allows us to process data in real-time as they arrive and detect conditions within a small period of time from the point of receiving the data. It allows us to feed data into analytics tools as soon as they get generated and get instant analytics results.
Box 3: Batch

Reference:

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

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Microsoft DP-900 Exam (page: 5) Microsoft Azure Data Fundamentals Updated on: 28-Nov-2025

QUESTION: 21

Explanation:

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QUESTION: 22

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QUESTION: 23

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QUESTION: 24

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QUESTION: 25

Explanation:

Reference:

Microsoft DP-900 Exam (page: 5)
Microsoft Azure Data Fundamentals
Updated on: 28-Nov-2025