Exam DP-700 topic 2 question 13 discussion

Actual exam question from Microsoft's DP-700

Question #: 13
Topic #: 2

You have a Fabric workspace that contains a lakehouse named Lakehouse1.
In an external data source, you have data files that are 500 GB each. A new file is added every day.
You need to ingest the data into Lakehouse1 without applying any transformations. The solution must meet the following requirements
Trigger the process when a new file is added.
Provide the highest throughput.
Which type of item should you use to ingest the data?

A. Eventstream
B. Dataflow Gen2
C. Streaming dataset
D. Data pipeline

Show Suggested Answer

Suggested Answer: D 🗳️

by IshtarSQL at Dec. 13, 2024, 4:43 p.m.

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IshtarSQL

Highly Voted 2 months, 1 week ago

Selected Answer: D

Eventstream is designed for ingesting real-time or streaming data from sources like IoT devices or logs. It’s not optimized for batch processing or large files.

upvoted 7 times

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henryphchan

Most Recent 1 week ago

Selected Answer: D

I would prefer using data pipeline although it is a preview feature. Eventstream and streaming data are designed for realtime events

upvoted 1 times

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2e6975f

1 week, 1 day ago

Selected Answer: D

For high-throughput, event-triggered ingestion of large files into a lakehouse without transformations, Data pipeline is the most appropriate and efficient item in Fabric.

upvoted 2 times

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4371883

1 month ago

Selected Answer: C

Streaming dataset is the only answer that ticks the requirements for storage trigger and high throughput. Data Pipeline is not right as at 2025-Jan. The storage trigger is still in preview, so it doesn't satisfy the requirement. But it's probably the best option.

upvoted 2 times

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Exam DP-700 topic 2 question 13 discussion

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IshtarSQL

henryphchan

2e6975f

4371883

SY0-701