The answer is to configure cross-workspace queries using the `workspace()` expression in KQL. This is correct because it allows your SOC team to query multiple Sentinel workspaces from one location without moving or centralizing the data, keeping each workspace’s logs in its original region while enabling a unified query context. On the SC-200 exam, this scenario tests your understanding of multi-workspace architectures and the native Sentinel feature for distributed environments, often appearing as a trap where candidates mistakenly choose a data ingestion or export solution instead. The key distinction is that cross-workspace queries use the `workspace()` function inline within a KQL statement, not a separate tool or pipeline. A simple memory tip: think of `workspace()` as a “phone call” to another workspace—you dial the workspace name in your query, but the data never leaves its home.
SC-200 Manage a security operations environment Practice Question
This SC-200 practice question tests your understanding of manage a security operations environment. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
Your SOC team uses Microsoft Sentinel with multiple workspaces across regions. You need to implement a solution that allows analysts to query all workspaces from a single location without moving data. Which feature should you configure?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use cross-workspace queries with workspace() expressions in KQL.
Option A is correct because cross-workspace queries using the `workspace()` expression in KQL allow analysts to query multiple Log Analytics workspaces from a single query context without moving or centralizing the data. This is the native Microsoft Sentinel feature designed for multi-workspace environments, enabling seamless querying across regions while keeping data in its original 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 cross-workspace queries with workspace() expressions in KQL.
Why this is correct
Cross-workspace queries allow querying multiple workspaces without moving data.
Related concept
Read the scenario before looking for a memorised answer.
✗
Export data to Azure Data Explorer and query there.
Why it's wrong here
This moves data and adds cost, not a single location solution.
✗
Create a single Log Analytics workspace and have all data sources send logs there.
Why it's wrong here
This moves data, which may violate data residency requirements.
✗
Configure Azure Lighthouse to manage all workspaces.
Why it's wrong here
Azure Lighthouse is for cross-tenant management, not querying multiple workspaces.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Lighthouse (cross-tenant management) with cross-workspace querying, but Lighthouse does not provide the KQL-level query capability needed to query data across workspaces from a single query.
Detailed technical explanation
How to think about this question
The `workspace()` expression in KQL allows you to reference a specific Log Analytics workspace by its resource ID or name within a query, enabling union or join operations across workspaces. Under the hood, this uses the Azure Resource Manager API to resolve the workspace and route the query to the correct cluster, with results aggregated at the querying client. In a real-world scenario, an analyst might use `union workspace('workspace1').SecurityEvent, workspace('workspace2').SecurityEvent | where TimeGenerated > ago(1h)` to correlate incidents across regions without data movement.
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.
Manage a security operations environment — This question tests Manage a security operations environment — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use cross-workspace queries with workspace() expressions in KQL. — Option A is correct because cross-workspace queries using the `workspace()` expression in KQL allow analysts to query multiple Log Analytics workspaces from a single query context without moving or centralizing the data. This is the native Microsoft Sentinel feature designed for multi-workspace environments, enabling seamless querying across regions while keeping data in its original 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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Question Discussion
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