- A
Open the Microsoft Sentinel workspace in the Azure portal → Navigate to the Hunting blade in the Sentinel menu → Click on the 'New Query' button → Write the KQL query in the query editor → Run the query to verify results → Save the query with a meaningful name and description
This order follows the required configuration sequence and verifies the result last.
- B
Verify results before configuring the source or rule settings.
Why wrong: Verification can only happen after the required configuration has been completed.
- C
Configure alert grouping before defining the detection query or source.
Why wrong: The detection logic/source must be defined before grouping or response settings.
- D
Skip validation and enable the rule or plan immediately.
Why wrong: Skipping validation increases the risk of false positives or incomplete configuration.
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.
Arrange the steps in the correct order to create and save a custom hunting query in Microsoft Sentinel.
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
Open the Microsoft Sentinel workspace in the Azure portal → Navigate to the Hunting blade in the Sentinel menu → Click on the 'New Query' button → Write the KQL query in the query editor → Run the query to verify results → Save the query with a meaningful name and description
Option A is correct because creating a custom hunting query in Microsoft Sentinel requires first accessing the workspace, then navigating to the Hunting blade, clicking 'New Query', writing the KQL query, running it to validate results, and finally saving it with a meaningful name and description. This sequence ensures the query is tested before being stored, aligning with Sentinel's workflow for ad-hoc threat hunting.
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.
- ✓
Open the Microsoft Sentinel workspace in the Azure portal → Navigate to the Hunting blade in the Sentinel menu → Click on the 'New Query' button → Write the KQL query in the query editor → Run the query to verify results → Save the query with a meaningful name and description
Why this is correct
This order follows the required configuration sequence and verifies the result last.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Verify results before configuring the source or rule settings.
Why it's wrong here
Verification can only happen after the required configuration has been completed.
- ✗
Configure alert grouping before defining the detection query or source.
Why it's wrong here
The detection logic/source must be defined before grouping or response settings.
- ✗
Skip validation and enable the rule or plan immediately.
Why it's wrong here
Skipping validation increases the risk of false positives or incomplete configuration.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse the workflow for creating an analytics rule (which involves configuring source, alert grouping, and rule settings) with the simpler, validation-focused process for creating a hunting query, leading them to select options B, C, or D that describe rule creation steps rather than hunting query steps.
Detailed technical explanation
How to think about this question
Under the hood, hunting queries in Microsoft Sentinel are stored as KQL (Kusto Query Language) artifacts in the workspace's Log Analytics database, accessible via the Hunting blade. Running the query before saving allows the KQL engine to parse and execute the query against the workspace's tables (e.g., SecurityEvent, SigninLogs), catching syntax errors or performance issues early. In a real-world scenario, a SOC analyst might craft a query to detect rare lateral movement patterns; validating it against live data ensures the query returns actionable results without false positives before it is saved for team use.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this SC-200 question test?
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: Open the Microsoft Sentinel workspace in the Azure portal → Navigate to the Hunting blade in the Sentinel menu → Click on the 'New Query' button → Write the KQL query in the query editor → Run the query to verify results → Save the query with a meaningful name and description — Option A is correct because creating a custom hunting query in Microsoft Sentinel requires first accessing the workspace, then navigating to the Hunting blade, clicking 'New Query', writing the KQL query, running it to validate results, and finally saving it with a meaningful name and description. This sequence ensures the query is tested before being stored, aligning with Sentinel's workflow for ad-hoc threat hunting.
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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Last reviewed: Jun 11, 2026
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