Quick Answer
The answer is summarize with bin() and make_list. These two KQL operators are most useful for building hunting queries to detect anomalous activities over time because summarize with bin() groups events into fixed time intervals, creating the structured time series necessary for baseline comparison, while make_list() aggregates values within each bin into an ordered list, enabling pattern analysis like sudden spikes or drops. On the Microsoft Security Operations Analyst SC-200 exam, this tests your ability to construct time-based anomaly detection queries for threat hunting, often appearing in scenarios where you must identify unusual login patterns or data exfiltration over hours or days. A common trap is choosing extend or where, which manipulate or filter data but do not create the temporal aggregation needed for anomaly detection. Memory tip: think “bin and list” to bin time and list values—without both, you cannot spot the outlier in the timeline.
This SC-200 practice question tests your understanding of perform threat hunting. 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.
Which TWO of the following KQL operators are most useful when building hunting queries to detect anomalous activities over time?
where
Why wrong: where filters data but does not enable time-based aggregation.
summarize
summarize with bin() groups data by time intervals, essential for temporal analysis.
project
Why wrong: project selects columns, not time-series analysis.
make_list
make_list() aggregates values per key, useful for comparing behaviors over time.
extend
Why wrong: extend adds computed columns but does not aggregate over time.
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
Options A and C are correct. summarize with bin() is fundamental for time-series analysis to detect anomalies. make_list() is often used with summarize to aggregate events per time period for anomaly detection. Option B is incorrect because extend creates new columns but does not directly help with time-based detection. Option D is incorrect because where filters rows but does not detect anomalies over time. Option E is incorrect because project selects columns.
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.
where
Why it's wrong here
where filters data but does not enable time-based aggregation.
summarize
Why this is correct
summarize with bin() groups data by time intervals, essential for temporal analysis.
Related concept
Read the scenario before looking for a memorised answer.
project
Why it's wrong here
project selects columns, not time-series analysis.
make_list
Why this is correct
make_list() aggregates values per key, useful for comparing behaviors over time.
Related concept
Read the scenario before looking for a memorised answer.
extend
Why it's wrong here
extend adds computed columns but does not aggregate over time.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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
Identify which SC-200 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Perform threat hunting — This question tests Perform threat hunting — Read the scenario before looking for a memorised answer..
The correct answer is: summarize — Options A and C are correct. summarize with bin() is fundamental for time-series analysis to detect anomalies. make_list() is often used with summarize to aggregate events per time period for anomaly detection. Option B is incorrect because extend creates new columns but does not directly help with time-based detection. Option D is incorrect because where filters rows but does not detect anomalies over time. Option E is incorrect because project selects columns.
Identify which SC-200 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 21, 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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