- A
Use Azure Lighthouse to delegate management and then create rules in the managing workspace that use workspace() expressions
Why wrong: Azure Lighthouse provides cross-tenant management but analytics rules still run within a single workspace's context; workspace() is available regardless of Lighthouse.
- B
Create a KQL function that unions the relevant tables from all workspaces using the workspace() expression, then use that function in the analytics rule query
A saved function can union data from multiple workspaces. The analytics rule can then query this function, effectively querying across workspaces.
- C
Configure the analytics rule to run in Log Analytics workspace manager and use cross-workspace queries native to Copilot for Security
Why wrong: There is no 'Log Analytics workspace manager' feature for Sentinel; Copilot for Security is not used for cross-workspace analytics rules.
- D
Enable cross-workspace incident view in Sentinel settings and define the rule in the central workspace to automatically query all linked workspaces
Why wrong: The cross-workspace incident view only aggregates incidents, not the underlying data for analytics rules.
SC-200 Mitigate threats using Microsoft Sentinel Practice Question
This SC-200 practice question tests your understanding of mitigate threats using microsoft sentinel. 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 SOC team uses Microsoft Sentinel with multiple workspaces in a single region. They have deployed Azure Policy to send all Azure resource logs to a central Log Analytics workspace. Now they want to create a set of analytics rules that run across multiple workspaces to detect cross-workspace attacks. However, they note that the built-in analytics rules can only query data within the workspace they are defined. Which solution should the team implement to efficiently query data from multiple workspaces for detection?
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
Create a KQL function that unions the relevant tables from all workspaces using the workspace() expression, then use that function in the analytics rule query
Option B is correct because KQL functions can encapsulate cross-workspace queries using the `workspace()` expression, allowing an analytics rule to query multiple Log Analytics workspaces from a single rule definition. This approach efficiently reuses the union logic across rules without modifying each rule individually, addressing the limitation that built-in rules can only query their own workspace.
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.
- ✗
Use Azure Lighthouse to delegate management and then create rules in the managing workspace that use workspace() expressions
Why it's wrong here
Azure Lighthouse provides cross-tenant management but analytics rules still run within a single workspace's context; workspace() is available regardless of Lighthouse.
- ✓
Create a KQL function that unions the relevant tables from all workspaces using the workspace() expression, then use that function in the analytics rule query
Why this is correct
A saved function can union data from multiple workspaces. The analytics rule can then query this function, effectively querying across workspaces.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Configure the analytics rule to run in Log Analytics workspace manager and use cross-workspace queries native to Copilot for Security
Why it's wrong here
There is no 'Log Analytics workspace manager' feature for Sentinel; Copilot for Security is not used for cross-workspace analytics rules.
- ✗
Enable cross-workspace incident view in Sentinel settings and define the rule in the central workspace to automatically query all linked workspaces
Why it's wrong here
The cross-workspace incident view only aggregates incidents, not the underlying data for analytics rules.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Azure Lighthouse's cross-tenant management delegation with cross-workspace querying, or assume that a central workspace automatically queries linked workspaces without explicit KQL expressions.
Detailed technical explanation
How to think about this question
The `workspace()` expression in KQL allows a query to reference a specific Log Analytics workspace by its resource ID or name, enabling cross-workspace queries even when the rule is defined in a single workspace. Under the hood, Sentinel analytics rules execute KQL queries against the workspace they are stored in, but by using `union workspace('WS1').Table, workspace('WS2').Table`, the query engine fetches data from multiple workspaces at query time. A real-world scenario is detecting lateral movement across Azure subscriptions where each subscription's logs land in a separate workspace; a KQL function that unions `SigninLogs` and `AuditLogs` from all workspaces can be referenced by a single rule to correlate events across environments.
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.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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: Create a KQL function that unions the relevant tables from all workspaces using the workspace() expression, then use that function in the analytics rule query — Option B is correct because KQL functions can encapsulate cross-workspace queries using the `workspace()` expression, allowing an analytics rule to query multiple Log Analytics workspaces from a single rule definition. This approach efficiently reuses the union logic across rules without modifying each rule individually, addressing the limitation that built-in rules can only query their own workspace.
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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