The answer is to connect Microsoft Sentinel to the Azure Machine Learning workspace using the 'Notebooks' blade in Sentinel. This is correct because Jupyter notebooks in Sentinel require an AML workspace as the compute and storage backend—Sentinel itself does not host notebooks natively. The 'Notebooks' blade handles the provisioning and linking, allowing you to launch pre-built hunting notebooks that query your Sentinel data via KQL. On the SC-200 exam, this scenario tests your understanding of the integration between Sentinel and AML, often appearing as a trap where candidates mistakenly think MSTICpy must be installed separately or that PowerShell is used for notebook queries. The key is remembering that Sentinel’s notebooks rely on AML for execution, not on local libraries. For a memory tip, think “Notebooks need a Notebooks blade, not a library install”—the blade does the heavy lifting of connecting to AML, so you don’t manually install MSTICpy or switch to PowerShell.
SC-200 Perform threat hunting Practice Question
This SC-200 practice question tests your understanding of perform threat hunting. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
A threat hunter wants to use Jupyter Notebooks in Microsoft Sentinel for hypothesis-driven hunting. Which THREE steps should the hunter take to set up and use this capability?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable Machine Learning-based analytics in Microsoft Sentinel under 'Entity behavior' settings
Enabling ML-based analytics in Microsoft Sentinel provides access to notebooks; provisioning an Azure Machine Learning workspace is required to run notebooks; connecting Microsoft Sentinel to an AML workspace is the final step to access data. Installing the MSTICpy library separately is not needed; notebooks use KQL, not PowerShell.
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 Machine Learning-based analytics in Microsoft Sentinel under 'Entity behavior' settings
Why this is correct
This enables the notebooks feature.
Related concept
Read the scenario before looking for a memorised answer.
✓
Provision an Azure Machine Learning (AML) workspace in the same subscription
Why this is correct
Notebooks require an AML workspace to run.
Related concept
Read the scenario before looking for a memorised answer.
✗
Install the MSTICpy Python library on each hunting analyst's workstation
Why it's wrong here
MSTICpy is installed in the AML workspace, not on workstations.
✓
Connect Microsoft Sentinel to the AML workspace using the 'Notebooks' blade in Sentinel
Why this is correct
This establishes the connection for data access.
Related concept
Read the scenario before looking for a memorised answer.
✗
Create a PowerShell runbook to automate notebook execution
Why it's wrong here
Notebooks run in AML, not via PowerShell runbooks.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this SC-200 question in full detail.
Identify which SC-200 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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: Enable Machine Learning-based analytics in Microsoft Sentinel under 'Entity behavior' settings — Enabling ML-based analytics in Microsoft Sentinel provides access to notebooks; provisioning an Azure Machine Learning workspace is required to run notebooks; connecting Microsoft Sentinel to an AML workspace is the final step to access data. Installing the MSTICpy library separately is not needed; notebooks use KQL, not PowerShell.
What should I do if I get this SC-200 question wrong?
Identify which SC-200 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which TWO are valid methods for performing threat hunting in Microsoft Sentinel? (Choose two.)
medium
A.Using playbooks to respond to incidents
✓ B.Using the Hunting blade with built-in queries
C.Using the MITRE ATT&CK dashboard
✓ D.Using Jupyter notebooks with MSTICpy
E.Using watchlists to create alerts
Why B: Option B is correct because Jupyter notebooks allow custom hunting queries. Option C is correct because the Hunting blade provides built-in queries. Option A is wrong because the MITRE ATT&CK dashboard is a visualization, not a hunting method. Option D is wrong because watchlists are data sources, not hunting methods. Option E is wrong because playbooks are for automation.
Last reviewed: Jun 21, 2026
Question Discussion
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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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