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. A key principle to apply: the 'join' operator combines rows from two or more tables.. 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 analyst is creating a scheduled analytics rule in Microsoft Sentinel to detect potential account compromise. The rule should trigger when a user account is created in Microsoft Entra ID and, within one hour, that same account is used to sign in from an unfamiliar location. The queries use the AuditLogs table for account creation and the SigninLogs table for sign-ins. Which KQL operator should be used to correlate these two events from different tables within a specific time window?
Why wrong: Incorrect. The 'where' operator filters rows in a single table and cannot join multiple sources.
B
join
Correct. The 'join' operator can combine rows from two tables based on a common key and a time window, enabling correlation of account creation and sign-in events.
C
union
Why wrong: Incorrect. The 'union' operator appends rows from multiple tables but does not correlate them.
D
summarize
Why wrong: Incorrect. The 'summarize' operator aggregates data within a single table and cannot join tables.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
join
The correct answer is B (join) because the scenario requires correlating two events from different tables (AuditLogs and SigninLogs) based on a common field (e.g., UserPrincipalName) and within a specific time window (one hour). The join operator in KQL allows you to combine rows from two tables by matching keys, and you can use the 'where' clause on the time fields to enforce the one-hour window. This is the only operator that supports row-wise correlation across tables with a time constraint.
Key principle: The 'join' operator combines rows from two or more tables.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
where
Why it's wrong here
Incorrect. The 'where' operator filters rows in a single table and cannot join multiple sources.
✓
join
Why this is correct
Correct. The 'join' operator can combine rows from two tables based on a common key and a time window, enabling correlation of account creation and sign-in events.
Related concept
The 'join' operator combines rows from two or more tables.
✗
union
Why it's wrong here
Incorrect. The 'union' operator appends rows from multiple tables but does not correlate them.
✗
summarize
Why it's wrong here
Incorrect. The 'summarize' operator aggregates data within a single table and cannot join tables.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse union (which stacks rows) with join (which correlates rows), especially when the question mentions 'different tables' and 'time window' — union cannot enforce a time-based relationship between rows from separate tables.
Detailed technical explanation
How to think about this question
Under the hood, the join operator in KQL uses hash matching to combine rows from the left and right tables based on the specified key (e.g., UserPrincipalName). To enforce the one-hour time window, you must add a condition in the 'on' clause or in a subsequent 'where' clause comparing timestamps (e.g., on $left.TimeGenerated between $right.TimeGenerated and $right.TimeGenerated + 1h). A subtle behavior: if the time fields are not indexed or if the tables are large, the join can be resource-intensive; using 'kind=leftouter' or 'kind=inner' with a time-bounded condition can improve performance.
KKey Concepts to Remember
The 'join' operator combines rows from two or more tables.
It requires a common key (e.g., UserPrincipalName) to match rows.
'join' supports time-based correlation using `lookback` or `within` clauses.
Various join kinds (e.g., `inner`, `leftouter`) control how rows are matched.
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
The 'join' operator combines rows from two or more tables.
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. The 'join' operator combines rows from two or more tables. 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.
Mitigate threats using Microsoft Sentinel — This question tests Mitigate threats using Microsoft Sentinel — The 'join' operator combines rows from two or more tables..
What is the correct answer to this question?
The correct answer is: join — The correct answer is B (join) because the scenario requires correlating two events from different tables (AuditLogs and SigninLogs) based on a common field (e.g., UserPrincipalName) and within a specific time window (one hour). The join operator in KQL allows you to combine rows from two tables by matching keys, and you can use the 'where' clause on the time fields to enforce the one-hour window. This is the only operator that supports row-wise correlation across tables with a time constraint.
What should I do if I get this SC-200 question wrong?
Review the 'join' operator combines rows from two or more tables., then practise related SC-200 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
The 'join' operator combines rows from two or more tables.
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