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DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing

Exhibit

Refer to the exhibit.

KQL Query:
ADXTable
| where Timestamp > ago(1h)
| summarize count() by bin(Timestamp, 5m)
| render timechart

You are using Azure Data Explorer to monitor real-time sensor data. You run the KQL query shown in the exhibit. What is the purpose of this query?

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

To visualize the count of events every 5 minutes over the last hour

The query uses `summarize count()` with `bin(Timestamp, 5m)` to count events in 5-minute intervals and then renders a timechart, effectively visualizing the count of events every 5 minutes over the last hour. Option A is incorrect because detecting anomalies would require functions like `series_decompose_anomalies`. Option B is incorrect because the query does not calculate an average; it counts events. Option D is incorrect because it does not filter by a specific sensor; it aggregates all events.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • To detect anomalies in the sensor data

    Why it's wrong here

    The query does not use anomaly detection functions.

  • To calculate the average value of a numeric column over time

    Why it's wrong here

    The query uses count(), not avg().

  • To visualize the count of events every 5 minutes over the last hour

    Why this is correct

    The summarize and render timechart achieve this.

  • To filter events from a specific sensor

    Why it's wrong here

    There is no filter for sensor ID.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This DP-203 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-203 exam.