Quick Answer
The answer is the Log Analytics workspace, the Azure Monitor Agent, and an AWS S3 data connector. These three components are required because Microsoft Sentinel ingests all security data into a Log Analytics workspace as its foundational data store, while the Azure Monitor Agent (AMA) is the standard mechanism for collecting logs from Azure virtual machines. For a multi-cloud environment like AWS, a dedicated data connector—such as the AWS S3 connector for CloudTrail logs—is essential to bridge the external cloud into Sentinel’s ingestion pipeline. On the Microsoft Cybersecurity Architect exam, this question tests your understanding of Sentinel’s core architecture versus optional add-ons; a common trap is mistaking Azure Arc or Sentinel itself as required components. Remember that Azure Arc is only needed for managing non-Azure servers, not for log ingestion, and Sentinel is the SIEM platform, not a component you install. A useful memory tip is “Workspace, Agent, Connector”—the three pillars for any multi-cloud log collection setup.
This SC-100 practice question tests your understanding of design security solutions for infrastructure. 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.
Which THREE components are required to implement a Microsoft Sentinel solution that collects security logs from a multi-cloud environment including AWS and Azure? (Choose three.)
Log Analytics workspace
Sentinel is built on Log Analytics workspaces.
Microsoft Sentinel solution
Why wrong: Sentinel itself is the solution; this option is redundant.
Azure Monitor Agent (AMA)
AMA is the default agent for collecting logs from Azure VMs.
AWS S3 data connector
A data connector is needed to ingest AWS logs into Sentinel.
Azure Arc
Why wrong: Azure Arc is not required for AWS log ingestion.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Log Analytics workspace
Option A is correct because Log Analytics workspace is the data store for Sentinel. Option B is correct because the Azure Monitor Agent (AMA) collects logs from Azure VMs. Option D is correct because a data connector for AWS (e.g., AWS CloudTrail) is needed to ingest logs. Option C is not required because Sentinel itself is the SIEM, not a separate component. Option E is not required because Azure Arc is optional for non-Azure servers but not required for AWS logs.
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.
Log Analytics workspace
Why this is correct
Sentinel is built on Log Analytics workspaces.
Related concept
Read the scenario before looking for a memorised answer.
Microsoft Sentinel solution
Why it's wrong here
Sentinel itself is the solution; this option is redundant.
Azure Monitor Agent (AMA)
Why this is correct
AMA is the default agent for collecting logs from Azure VMs.
Related concept
Read the scenario before looking for a memorised answer.
AWS S3 data connector
Why this is correct
A data connector is needed to ingest AWS logs into Sentinel.
Related concept
Read the scenario before looking for a memorised answer.
Azure Arc
Why it's wrong here
Azure Arc is not required for AWS log ingestion.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Identify which SC-100 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.
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FAQ
Design security solutions for infrastructure — This question tests Design security solutions for infrastructure — Read the scenario before looking for a memorised answer..
The correct answer is: Log Analytics workspace — Option A is correct because Log Analytics workspace is the data store for Sentinel. Option B is correct because the Azure Monitor Agent (AMA) collects logs from Azure VMs. Option D is correct because a data connector for AWS (e.g., AWS CloudTrail) is needed to ingest logs. Option C is not required because Sentinel itself is the SIEM, not a separate component. Option E is not required because Azure Arc is optional for non-Azure servers but not required for AWS logs.
Identify which SC-100 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
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