Splunk SPLK-5001 Exam Syllabus Topics:

Topic	Details
Topic 1	Troubleshooting and Maintenance: The Troubleshooting and Maintenance section focuses on diagnosing and resolving issues within a Splunk deployment. This involves using diagnostic tools and logs to troubleshoot common problems such as data ingestion issues, search performance, and system errors.
Topic 2	User Management and Security: The User Management and Security section focuses on controlling user access and securing the Splunk environment. It covers how to set up roles and permissions to manage access to Splunk features and data. This includes user authentication methods, such as integrating with external systems and managing user accounts. The section also discusses security best practices to protect against unauthorized access and ensure data confidentiality and integrity.
Topic 3	Installation and Configuration: In the Installation and Configuration section, the focus is on the procedures for installing and setting up Splunk Enterprise. This includes the installation process across different operating systems and the configuration of necessary components to ensure proper functionality. Key topics include installing the Splunk software, setting up the Deployment Server, and configuring Data Inputs for data collection and indexing.

Reference: https://www.splunk.com/en_us/training/certification-track/splunk-certified-cybersecurity-defense-analyst.html

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Splunk Certified Cybersecurity Defense Analyst Sample Questions:

Question #1

An analyst would like to visualize threat objects across their environment and chronological risk events for a Risk Object in Incident Review. Where would they find this?

A. Via the Risk Analysis dashboard under the Security Intelligence tab in Enterprise Security.
B. Clicking the risk event count to open the Risk Event Timeline.
C. Running the Risk Analysis Adaptive Response action within the Notable Event.
D. Via a workflow action for the Risk Investigation dashboard.

Reveal Solution Discussion 0

Correct Answer: B 🗳️

Question #2

Outlier detection is an analysis method that groups together data points into high density clusters.
Data points that fall outside of these high density clusters are considered to be what?

A. Baselined
B. Non-conformatives
C. Inconsistencies
D. Anomalies

Reveal Solution Discussion 0

Correct Answer: D 🗳️

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Question #3

A Risk Rule generates events on Suspicious Cloud Share Activity and regularly contributes to confirmed incidents from Risk Notables. An analyst realizes the raw logs these events are generated from contain information which helps them determine what might be malicious.
What should they ask their engineer for to make their analysis easier?

A. Allowlist more events based on this information.
B. Add this information to the risk message.
C. Create a field extraction for this information.
D. Create another detection for this information.

Reveal Solution Discussion 0

Correct Answer: C 🗳️

Question #4

An analyst is building a search to examine Windows XML Event Logs, but the initial search is not returning any extracted fields. Based on the above image, what is the most likely cause?

A. The analyst is not in the Drooer Search Mode and should switch to Smart or Verbose.
B. The analyst does not have the proper role to search this data.
C. The analyst did not add the excract command to their search pipeline.
D. The analyst is searching newly indexed data that was improperly parsed.

Reveal Solution Discussion 0

Correct Answer: C 🗳️

Question #5

The following list contains examples of Tactics, Techniques, and Procedures (TTPs):
1. Exploiting a remote service
2. Lateral movement
3. Use EternalBlue to exploit a remote SMB server
In which order are they listed below?