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 are valid approaches to perform threat hunting using Microsoft Sentinel? (Choose two.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Using the Hunting blade and Livestream
The Hunting blade in Microsoft Sentinel provides a dedicated interface for proactive threat hunting, allowing analysts to run KQL queries and pivot through results. Livestream extends this by enabling continuous, real-time query execution against incoming data, which is essential for detecting patterns that evolve over minutes or hours. Both features are explicitly designed for iterative, hypothesis-driven threat hunting rather than automated detection.
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.
✗
Using Fusion analytics rule
Why it's wrong here
Fusion is a detection rule, not a hunting method.
✓
Using the Hunting blade and Livestream
Why this is correct
Hunting blade provides predefined queries and livestream for real-time hunting.
Related concept
Read the scenario before looking for a memorised answer.
✗
Using Automation rules to trigger playbooks
Why it's wrong here
Automation rules are for incident response, not hunting.
✓
Using KQL queries in the Logs blade
Why this is correct
Logs blade allows custom KQL queries for hunting.
Related concept
Read the scenario before looking for a memorised answer.
✗
Using Azure Policy to enforce compliance
Why it's wrong here
Azure Policy is for governance, not threat hunting.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse automated detection rules (like Fusion) or response automation (like playbooks) with the manual, iterative process of threat hunting, which requires interactive querying and live monitoring rather than passive alerting.
Detailed technical explanation
How to think about this question
Under the hood, Livestream uses a continuous KQL query execution model that re-evaluates results every few seconds against the same time window, allowing hunters to monitor for specific patterns (e.g., a series of failed logins followed by a success) as data streams in. The Hunting blade stores user queries and results in the workspace, enabling collaboration and iterative refinement. In a real-world scenario, a hunter might use Livestream to watch for anomalous outbound DNS queries during a suspected data exfiltration campaign, adjusting the query in real time based on initial findings.
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.
Perform threat hunting — This question tests Perform threat hunting — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Using the Hunting blade and Livestream — The Hunting blade in Microsoft Sentinel provides a dedicated interface for proactive threat hunting, allowing analysts to run KQL queries and pivot through results. Livestream extends this by enabling continuous, real-time query execution against incoming data, which is essential for detecting patterns that evolve over minutes or hours. Both features are explicitly designed for iterative, hypothesis-driven threat hunting rather than automated detection.
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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