DP-203 Develop data processing Practice Question
You are processing streaming data from IoT devices using Azure Stream Analytics. The data includes temperature readings and device IDs. You need to calculate the average temperature per device over a 5-minute window, sliding every 1 minute. Which window function should you use?
⚠ Common exam trap
Candidates often confuse 'sliding' with 'hopping' — a Sliding window in Stream Analytics is event-driven and does not produce periodic outputs, whereas a Hop window is time-driven and explicitly supports overlapping fixed-size windows with a hop interval.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Hop window
A Hop window in Azure Stream Analytics allows you to specify a window size (5 minutes) and a hop size (1 minute), creating overlapping windows that slide forward every minute. This matches the requirement to calculate the average temperature per device over a 5-minute period, recalculated every minute, as the hop window outputs results at each hop interval while retaining data across overlapping windows.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Hop window
Why this is correct
Hop windows overlap and advance every hop interval.
- ✗
Session window
Why it's wrong here
Session windows are based on gaps.
- ✗
Sliding window
Why it's wrong here
Sliding window is not a standard Azure Stream Analytics window function; the correct name is Hop window.
- ✗
Tumbling window
Why it's wrong here
Tumbling windows are non-overlapping.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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