- A
CloudAppEvents | where TimeGenerated > ago(1h) | where ObjectId == 'SensitiveDocument123' | summarize dcount(IPAddress) by UserId | where dcount_IPAddress > 3
Correctly counts unique IPs per user for the specific document.
- B
CloudAppEvents | where TimeGenerated > ago(24h) | where ObjectId == 'SensitiveDocument123' | summarize dcount(IPAddress) by UserId | where dcount_IPAddress > 3
Why wrong: Time range is 24 hours, not 1 hour.
- C
CloudAppEvents | where TimeGenerated > ago(1h) | summarize dcount(IPAddress) by UserId | where dcount_IPAddress > 3
Why wrong: Missing filter for the specific document.
- D
CloudAppEvents | where TimeGenerated > ago(1h) | where ObjectId == 'SensitiveDocument123' | summarize count() by UserId, IPAddress | where count_ > 3
Why wrong: Counts occurrences per IP, not unique IPs per user.
Quick Answer
The answer is the KQL query that uses summarize dcount(IPAddress) by UserId and then filters for where dcount_IPAddress > 3. This is correct because dcount() calculates the number of distinct, unique IP addresses per user, which is exactly what you need to detect a distributed access pattern—an attacker using multiple IPs from an unusual location to access the same sensitive document. On the SC-200 exam, this scenario tests your ability to apply aggregation functions in CloudAppEvents for threat hunting, specifically distinguishing dcount() from count(), which would count total events rather than unique IPs. A common trap is using count() instead of dcount(), which would return false positives if a single user accessed the document many times from the same IP. Remember: for unique IPs, always use dcount()—think "d" for "distinct" to avoid the count trap.
SC-200 Perform threat hunting Practice Question
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.
You are a security operations analyst at a company that uses Microsoft Defender for Cloud Apps (now part of Microsoft Defender XDR) and Microsoft Sentinel. During a threat hunt, you suspect that an attacker may be using a compromised user account to access sensitive data in SharePoint Online from an unusual location. You have Microsoft Defender for Cloud Apps logs integrated into Sentinel. The log schema includes fields: TimeGenerated, UserId, AppName, ActivityType, IPAddress, Location, ObjectId (the document ID). You need to write a KQL query that returns a list of users who accessed the same sensitive document (ObjectId == 'SensitiveDocument123') from more than 3 unique IP addresses in the last hour, which could indicate a distributed access pattern. Which KQL query should you use?
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
CloudAppEvents | where TimeGenerated > ago(1h) | where ObjectId == 'SensitiveDocument123' | summarize dcount(IPAddress) by UserId | where dcount_IPAddress > 3
Option A correctly filters for the sensitive document and the last hour, summarizes dcount(IPAddress) by UserId, and filters for more than 3 unique IPs. Option B uses count() instead of dcount(). Option C uses the wrong time range. Option D does not filter for the specific document.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
CloudAppEvents | where TimeGenerated > ago(1h) | where ObjectId == 'SensitiveDocument123' | summarize dcount(IPAddress) by UserId | where dcount_IPAddress > 3
- ✗
CloudAppEvents | where TimeGenerated > ago(24h) | where ObjectId == 'SensitiveDocument123' | summarize dcount(IPAddress) by UserId | where dcount_IPAddress > 3
Why it's wrong here
Time range is 24 hours, not 1 hour.
- ✗
CloudAppEvents | where TimeGenerated > ago(1h) | summarize dcount(IPAddress) by UserId | where dcount_IPAddress > 3
Why it's wrong here
Missing filter for the specific document.
- ✗
CloudAppEvents | where TimeGenerated > ago(1h) | where ObjectId == 'SensitiveDocument123' | summarize count() by UserId, IPAddress | where count_ > 3
Why it's wrong here
Counts occurrences per IP, not unique IPs per user.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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.
What to study next
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related SC-200 NAT questions on configuration and troubleshooting.
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Perform threat hunting — study guide chapter
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FAQ
Questions learners often ask
What does this SC-200 question test?
Perform threat hunting — This question tests Perform threat hunting — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: CloudAppEvents | where TimeGenerated > ago(1h) | where ObjectId == 'SensitiveDocument123' | summarize dcount(IPAddress) by UserId | where dcount_IPAddress > 3 — Option A correctly filters for the sensitive document and the last hour, summarizes dcount(IPAddress) by UserId, and filters for more than 3 unique IPs. Option B uses count() instead of dcount(). Option C uses the wrong time range. Option D does not filter for the specific document.
What should I do if I get this SC-200 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related SC-200 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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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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