The answer is that the two valid methods to ingest syslog data into Microsoft Sentinel are using the Log Analytics agent to collect syslog from Linux machines and deploying the Syslog data connector from the Content hub. These methods are correct because they rely on the standard syslog ingestion architecture: a syslog daemon on a Linux machine forwards messages over UDP port 514 or TCP to a Log Analytics agent or Azure Monitor Agent, which then maps the data to the Syslog table in Log Analytics without requiring custom parsers. On the SC-200 exam, this topic tests your understanding of native data connectors versus third-party solutions; a common trap is assuming that direct agent installation on non-Linux devices or using custom scripts is a supported method. Remember that Microsoft Sentinel’s built-in syslog ingestion is Linux-centric and agent-dependent. A helpful memory tip is “Linux logs, agent loads” — the syslog connector only works with Linux-based forwarding, not Windows Event Logs.
SC-200 Manage a security operations environment Practice Question
This SC-200 practice question tests your understanding of manage a security operations environment. 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 TWO are valid methods to ingest syslog data into Microsoft Sentinel?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use the Syslog data connector from the Content hub
Option A is correct because the Syslog data connector available from the Content hub in Microsoft Sentinel provides a direct, built-in method to ingest syslog data from on-premises or cloud-based syslog sources. This connector uses the Log Analytics agent (or the newer Azure Monitor Agent with a Data Collection Rule) to collect syslog messages forwarded by a syslog daemon, typically over UDP port 514 or TCP, and maps them to the Syslog table in Log Analytics. It is the standard, supported approach for syslog ingestion without requiring third-party tools or custom parsers.
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 the Syslog data connector from the Content hub
Read the scenario before looking for a memorised answer.
✗
Configure a syslog forwarder with the Cisco ASIM parser
Why it's wrong here
ASIM parsers normalize data, they do not ingest.
✓
Use the Log Analytics agent to collect syslog from Linux machines
Why this is correct
The Log Analytics agent (now Azure Monitor agent) can collect syslog.
Related concept
Read the scenario before looking for a memorised answer.
✗
Deploy a Splunk Universal Forwarder to send syslog to Sentinel
Why it's wrong here
Splunk UF sends data to Splunk, not Sentinel.
✗
Install a Windows-based syslog collector and forward to Sentinel using the Azure Monitor agent
Why it's wrong here
The Azure Monitor agent on Windows does not natively collect syslog; syslog is Linux-centric.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse data ingestion methods with post-ingestion processing tools (like ASIM parsers) or assume that any universal forwarder (like Splunk's) can send data to Sentinel, when in fact only specific connectors and agents are supported for syslog ingestion.
Detailed technical explanation
How to think about this question
Syslog ingestion into Microsoft Sentinel relies on the Log Analytics agent (or AMA with a Data Collection Rule) running on a Linux syslog forwarder, which listens for syslog messages (RFC 3164 or RFC 5424) and forwards them to the Log Analytics workspace. The Syslog data connector automatically creates a Syslog table with fields like Facility, SeverityLevel, and SyslogMessage, and supports filtering by facility and severity to reduce noise. In real-world deployments, organizations often use a dedicated Linux jump box as a syslog forwarder to aggregate logs from network devices, firewalls, and servers, ensuring high availability and centralized management.
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 the Syslog data connector from the Content hub — Option A is correct because the Syslog data connector available from the Content hub in Microsoft Sentinel provides a direct, built-in method to ingest syslog data from on-premises or cloud-based syslog sources. This connector uses the Log Analytics agent (or the newer Azure Monitor Agent with a Data Collection Rule) to collect syslog messages forwarded by a syslog daemon, typically over UDP port 514 or TCP, and maps them to the Syslog table in Log Analytics. It is the standard, supported approach for syslog ingestion without requiring third-party tools or custom parsers.
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.
About these practice questions
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Variation 1. Which TWO are supported methods to ingest syslog data into Microsoft Sentinel?
easy
✓ A.Common Event Format (CEF) connector
B.Logstash output plugin
C.Azure Event Hubs
✓ D.Syslog connector using Azure Monitor Agent (AMA)
E.Direct Azure Monitor Agent ingestion without connector
Why A: The Common Event Format (CEF) connector is a supported method because it uses a syslog daemon on a Linux log collector to receive CEF-formatted syslog messages over UDP/TCP (port 514 or 25226) and forwards them to the Log Analytics workspace via the Log Analytics agent. This connector specifically parses CEF headers and maps fields to Sentinel's schema, making it a native ingestion path for security appliances like Palo Alto Networks or Fortinet.
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Question Discussion
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