The correct answer is to create a watchlist containing threat intelligence data and use it in an automation rule to add tags or comments. This works because watchlists in Microsoft Sentinel act as lightweight, in-memory lookup tables that can store static threat indicators, such as known malicious IPs or domains, directly within the workspace. By referencing a watchlist in an automation rule, you can automatically enrich incidents with threat intelligence from Microsoft Threat Intelligence without needing complex playbooks or external API calls, dramatically improving triage efficiency. On the SC-200 exam, this scenario tests your understanding of how to operationalize threat intelligence without over-engineering solutions—a common trap is jumping to Logic Apps or playbooks when a simpler watchlist-based automation rule suffices. Remember the memory tip: “Watchlists watch for matches, then tag and dispatch.”
SC-200 Manage a security operations environment Practice Question
This SC-200 practice question tests your understanding of manage a security operations environment. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 SOC team uses Microsoft Sentinel to manage incidents. You want to improve the efficiency of incident triage by automatically enriching incidents with threat intelligence data from Microsoft Threat Intelligence. What should you configure?
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 containing threat intelligence data and use it in an automation rule to add tags or comments.
Option C is correct because watchlists in Microsoft Sentinel allow you to store and reference static threat intelligence data directly within automation rules. By creating a watchlist with threat indicators and configuring an automation rule to add tags or comments based on matches, you can enrich incidents without requiring external API calls or complex playbooks, thus improving triage efficiency.
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.
✗
Enable the Threat Intelligence - TAXII connector to ingest threat indicators.
Why it's wrong here
Ingesting TI does not automatically enrich incidents; you need to correlate it.
✗
Create a playbook that queries the Threat Intelligence API and adds a comment to the incident.
Why it's wrong here
This is possible but not the most straightforward; watchlists are simpler for enrichment.
✓
Create a watchlist containing threat intelligence data and use it in an automation rule to add tags or comments.
Why this is correct
Watchlists can be used in automation rules to enrich incidents with additional data.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable User and Entity Behavior Analytics (UEBA) to detect anomalies.
Why it's wrong here
UEBA is for anomaly detection, not enrichment with TI.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse the purpose of the TAXII connector (ingestion) with incident enrichment, or assume that a playbook is always the best automation method, overlooking the simpler and more efficient watchlist-based approach for static data.
Detailed technical explanation
How to think about this question
Watchlists in Sentinel are stored as CSV files in the Log Analytics workspace and can be referenced in analytics rules and automation rules using the _GetWatchlist() KQL function. When an incident is created, an automation rule can check the watchlist for matching indicators (e.g., IP addresses or hashes) and automatically add tags or comments, providing immediate context without additional API calls. This approach is particularly useful for static threat feeds that do not change frequently, as it avoids the overhead of live API queries.
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-200 question in full detail.
Manage a security operations environment — This question tests Manage a security operations environment — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a watchlist containing threat intelligence data and use it in an automation rule to add tags or comments. — Option C is correct because watchlists in Microsoft Sentinel allow you to store and reference static threat intelligence data directly within automation rules. By creating a watchlist with threat indicators and configuring an automation rule to add tags or comments based on matches, you can enrich incidents without requiring external API calls or complex playbooks, thus improving triage efficiency.
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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