DP-203: Data Engineering on Microsoft Azure

Data Engineering on Microsoft Azure

252 questions125 flashcards4 domains

Practice questions and flashcards for the DP-203 exam. Covers data storage design (Synapse Analytics, Data Lake, Delta Lake), data processing (ADF, Spark, Event Hubs, Stream Analytics), data security (column/row-level, TDE, managed identities), and monitoring/optimization (DMVs, caching, workload management).

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Flashcards

125

Questions

252

Domains

Students

Sample Question

Design and implement data processing

A tumbling window trigger is configured with a frequency of 1 hour, self-dependency enabled (requiring sequential execution), and a retry policy of 3 attempts. The pipeline run for the 10:00 AM window fails permanently after exhausting all retries.

The 10:00 AM window is marked as Failed; subsequent windows continue executing normally

The 10:00 AM window is marked as Failed; subsequent windows are blocked from execution until the failed window is successfully re-run

The trigger automatically retries the 10:00 AM window indefinitely until success

The 10:00 AM window is marked as Skipped and the 11:00 AM window begins immediately

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Exam Details

azuredata-engineeringsynapsedata-factorysparkassociatemicrosoft

Domain Breakdown

Domain	Weight	Items
Design and implement data storage	30%	100 items
Design and implement data processing	30%	100 items
Implement data security	20%	87 items
Monitor and optimize data solutions	20%	90 items

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