The answer is to create a watchlist of trusted IP addresses and modify the TI map IP entity to AzureActivity rule to exclude those IPs. This is correct because watchlists in Microsoft Sentinel allow you to store and reference trusted data, such as benign IPs from legitimate services, directly within analytics rules. By adding a condition that excludes IPs from the watchlist, you reduce false positives in threat intelligence analytics rule processing without disabling the rule or losing detection coverage for actual threats. On the Microsoft Cybersecurity Architect exam, this scenario tests your ability to balance security monitoring with operational efficiency—a common trap is suggesting to simply disable the rule or lower the severity, which sacrifices detection. Instead, remember that watchlists provide dynamic, maintainable exclusion logic. Memory tip: Think of a watchlist as a VIP guest list—you don’t kick everyone out of the party; you just keep the troublemakers out while letting the trusted guests through.
SC-100 Practice Question: Design solutions that align with security best practices and priorities
This SC-100 practice question tests your understanding of design solutions that align with security best practices and priorities. 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.
Your organization uses Microsoft Sentinel and has deployed the Analytics rule 'TI map IP entity to AzureActivity' to detect suspicious activities based on threat intelligence. The SOC team reports that the rule has a high false positive rate because it matches benign IP addresses used by legitimate services. What design change should you recommend to reduce false positives while maintaining detection coverage?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a watchlist of trusted IP addresses and modify the rule to exclude those IPs.
Option C is correct because creating a watchlist of trusted IP addresses and modifying the TI map IP entity to AzureActivity rule to exclude those IPs directly addresses the high false positive rate caused by benign IPs. This approach preserves detection coverage for all other threat intelligence matches while filtering out known legitimate services, leveraging Sentinel's watchlist feature for dynamic exclusion without disabling the rule.
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.
✗
Increase the alert threshold to require multiple occurrences within a time window.
Why it's wrong here
This may suppress true positives as well.
✗
Disable the rule and rely on manual hunting queries.
Why it's wrong here
Disabling removes detection entirely.
✓
Create a watchlist of trusted IP addresses and modify the rule to exclude those IPs.
Why this is correct
Watchlist exclusion reduces false positives while keeping the rule active.
Related concept
Read the scenario before looking for a memorised answer.
✗
Create a separate analytics rule that suppresses alerts when the source IP is in a trusted list.
Why it's wrong here
This duplicates logic and is more complex.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may choose Option D, thinking a separate suppression rule is needed, but Microsoft Sentinel's analytics rules support direct exclusion via watchlists in the query logic, making a separate rule redundant and less reliable.
Detailed technical explanation
How to think about this question
Under the hood, the TI map IP entity to AzureActivity rule uses threat intelligence indicators (e.g., from STIX/TAXII feeds) to match IP entities in AzureActivity logs. A watchlist in Sentinel is a CSV-based list stored in the workspace that can be referenced in KQL queries using the _GetWatchlistAlias function, allowing dynamic exclusion of trusted IPs without hardcoding. In real-world scenarios, this is critical for cloud services like Azure Front Door or Office 365, whose IP ranges may appear in threat feeds due to shared infrastructure, causing false positives that can be mitigated by maintaining an up-to-date watchlist.
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 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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this SC-100 question in full detail.
Design solutions that align with security best practices and priorities — This question tests Design solutions that align with security best practices and priorities — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a watchlist of trusted IP addresses and modify the rule to exclude those IPs. — Option C is correct because creating a watchlist of trusted IP addresses and modifying the TI map IP entity to AzureActivity rule to exclude those IPs directly addresses the high false positive rate caused by benign IPs. This approach preserves detection coverage for all other threat intelligence matches while filtering out known legitimate services, leveraging Sentinel's watchlist feature for dynamic exclusion without disabling the rule.
What should I do if I get this SC-100 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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