Quick Answer
The correct answer is the `workspace()` function in KQL, which enables cross-workspace queries in Microsoft Sentinel by allowing you to reference a specific workspace within a single query using its identifier. This function works by appending the target workspace’s name or ID in parentheses, such as `workspace("ContosoSOC")`, effectively extending the query’s scope across multiple workspaces without needing separate queries. On the SC-200 exam, this concept tests your ability to perform centralized threat hunting and incident investigation across distributed environments, often appearing in scenario-based questions where you must analyze logs from different sources. A common trap is confusing `workspace()` with `union()`—remember that `union` combines tables within the same workspace, while `workspace()` reaches into other workspaces entirely. For a quick memory tip, think of `workspace()` as a “portal” that lets your query step into another room, whereas `union` just rearranges furniture in the room you’re already in.
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 Microsoft Sentinel feature allows you to query data across multiple workspaces in a single KQL query?
The union operator with workspace names
Why wrong: union does not accept workspace names; workspace() is used.
The externaldata operator with workspace URLs
Why wrong: externaldata reads from external storage, not other workspaces.
The workspace() function in KQL
workspace() allows querying multiple workspaces in one query.
The join operator with workspace identifiers
Why wrong: join is for combining tables, not workspaces.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
The workspace() function in KQL
Option A is correct because the `workspace()` function in KQL allows cross-workspace queries. Option B is wrong because cross-resource queries use `workspace()`, not `union()`. Option C is wrong because `join` is used to combine tables, not workspaces. Option D is wrong because `externaldata` is for external data sources.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
The union operator with workspace names
Why it's wrong here
union does not accept workspace names; workspace() is used.
The externaldata operator with workspace URLs
Why it's wrong here
externaldata reads from external storage, not other workspaces.
The workspace() function in KQL
Why this is correct
workspace() allows querying multiple workspaces in one query.
Related concept
Read the scenario before looking for a memorised answer.
The join operator with workspace identifiers
Why it's wrong here
join is for combining tables, not workspaces.
Common exam traps
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
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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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 — study guide chapter
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FAQ
Perform threat hunting — This question tests Perform threat hunting — Read the scenario before looking for a memorised answer..
The correct answer is: The workspace() function in KQL — Option A is correct because the `workspace()` function in KQL allows cross-workspace queries. Option B is wrong because cross-resource queries use `workspace()`, not `union()`. Option C is wrong because `join` is used to combine tables, not workspaces. Option D is wrong because `externaldata` is for external data sources.
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.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 21, 2026
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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