SC-200 Mitigate threats using Microsoft Sentinel Practice Question
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.
A SOC analyst needs to create a Microsoft Sentinel scheduled analytics rule that detects a potential brute-force attack. The rule should alert when a single IP address attempts to sign in to more than 10 different user accounts within 5 minutes. The data is in the 'SigninLogs' table. Which KQL operator should the analyst use to count distinct users per IP address per 5-minute time window?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
summarize dcount(UserPrincipalName) by IPAddress, bin(TimeGenerated, 5m)
Option A is correct because the requirement is to count distinct user accounts per IP address within a 5-minute window. The `dcount()` function estimates the number of distinct values of `UserPrincipalName`, `bin(TimeGenerated, 5m)` groups the logs into 5-minute buckets, and `summarize ... by IPAddress` ensures the count is per source IP. This directly matches the brute-force detection logic of more than 10 distinct users from a single IP in 5 minutes.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
summarize dcount(UserPrincipalName) by IPAddress, bin(TimeGenerated, 5m)
Why this is correct
This groups records by IPAddress and 5-minute bins, then counts distinct user accounts for each, which is exactly what is needed.
Related concept
Read the scenario before looking for a memorised answer.
✗
summarize count(UserPrincipalName) by IPAddress
Why it's wrong here
This counts total sign-in attempts, not distinct users, and does not include a time window.
✗
summarize dcount(IPAddress) by UserPrincipalName, bin(TimeGenerated, 5m)
Why it's wrong here
This counts distinct IPs per user, which is the opposite of what is needed.
✗
make-set(UserPrincipalName) by IPAddress
Why it's wrong here
make-set creates a list of all values, but you need a count, and there is no time grouping.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing `count()` (total events) with `dcount()` (distinct values), leading candidates to pick Option B, which would count repeated attempts to the same user as separate events and miss the distinct-user threshold required for a brute-force detection.
Detailed technical explanation
How to think about this question
The `dcount()` function uses the HyperLogLog algorithm to provide an approximate distinct count with minimal memory and fast performance, which is ideal for high-volume tables like SigninLogs. The `bin()` function aligns timestamps to the start of the 5-minute window, ensuring that events near the boundary are grouped correctly. In a real-world scenario, an analyst might set the threshold to 10 distinct users to reduce noise from legitimate multi-account access (e.g., from a shared NAT IP), but the KQL structure remains the same.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this SC-200 question in full detail.
Mitigate threats using Microsoft Sentinel — This question tests Mitigate threats using Microsoft Sentinel — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: summarize dcount(UserPrincipalName) by IPAddress, bin(TimeGenerated, 5m) — Option A is correct because the requirement is to count distinct user accounts per IP address within a 5-minute window. The `dcount()` function estimates the number of distinct values of `UserPrincipalName`, `bin(TimeGenerated, 5m)` groups the logs into 5-minute buckets, and `summarize ... by IPAddress` ensures the count is per source IP. This directly matches the brute-force detection logic of more than 10 distinct users from a single IP in 5 minutes.
What should I do if I get this SC-200 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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