Quick Answer
The answer is the summarize operator. In KQL, summarize groups records by specified fields—here, the user account—and then applies an aggregation function like count() to tally events within each group. For the SC-200 exam scenario, where you need to detect more than 10 failed logon events (Event ID 4625) per user in a 5-minute window, summarize is the only operator that both partitions the data by user and computes the per-user count, enabling a direct comparison against the threshold. This question tests your ability to match KQL operators to specific detection logic, a core skill for building analytics rules in Microsoft Sentinel. A common trap is confusing summarize with the where operator, which only filters rows but cannot aggregate; remember that summarize is your go-to for any “count per something” requirement. Memory tip: think “summarize = group and count,” like tallying scores per player on a scoreboard.
This SC-200 practice question tests your understanding of mitigate threats using microsoft sentinel. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
An organization ingests Windows Security Events into Microsoft Sentinel via the Security Events connector. An analyst wants to create a scheduled analytics rule that alerts when more than 10 failed logon events (Event ID 4625) occur for the same user within a 5-minute window. Which KQL operator should the analyst use to count events per user in that time window?
summarize
summarize groups rows and can compute aggregate values like count() per user and time bin.
extend
Why wrong: extend adds new columns but does not perform aggregation or grouping.
project
Why wrong: project selects a subset of columns, not aggregation.
where
Why wrong: where filters rows based on conditions but does not aggregate.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
summarize
The `summarize` operator is correct because it groups events by user and then applies an aggregation function (like `count()`) to calculate the number of failed logon events per user within the 5-minute window. This directly supports the rule's requirement to count events per user and compare the count to a threshold of 10.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
summarize
Why this is correct
summarize groups rows and can compute aggregate values like count() per user and time bin.
Related concept
Read the scenario before looking for a memorised answer.
extend
Why it's wrong here
extend adds new columns but does not perform aggregation or grouping.
project
Why it's wrong here
project selects a subset of columns, not aggregation.
where
Why it's wrong here
where filters rows based on conditions but does not aggregate.
Common exam traps
The trap here is that candidates often confuse `summarize` with `extend` or `project`, mistakenly thinking that adding a calculated column or selecting columns can perform grouping and counting, when only `summarize` provides aggregation capabilities.
Detailed technical explanation
The `summarize` operator in KQL works by grouping rows based on the specified `by` clause (e.g., `by User`) and then applying an aggregate function like `count()` to each group. In a real-world scenario, the analyst would also need to use the `bin()` function on the timestamp column to create 5-minute time windows, ensuring the count is scoped correctly within each window.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Mitigate threats using Microsoft Sentinel — This question tests Mitigate threats using Microsoft Sentinel — Read the scenario before looking for a memorised answer..
The correct answer is: summarize — The `summarize` operator is correct because it groups events by user and then applies an aggregation function (like `count()`) to calculate the number of failed logon events per user within the 5-minute window. This directly supports the rule's requirement to count events per user and compare the count to a threshold of 10.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
This SC-200 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 SC-200 exam.
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