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Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Detection Engineering: This section evaluates the expertise of Threat Hunters and SOC Engineers in developing and refining security detections. Topics include creating and tuning correlation searches, integrating contextual data into detections, applying risk-based modifiers, generating actionable Notable Events, and managing the lifecycle of detection rules to adapt to evolving threats.
Topic 2
  • Auditing and Reporting on Security Programs: This section tests Auditors and Security Architects on validating and communicating program effectiveness. It includes designing security metrics, generating compliance reports, and building dashboards to visualize program performance and vulnerabilities for stakeholders.
Topic 3
  • Data Engineering: This section of the exam measures the skills of Security Analysts and Cybersecurity Engineers and covers foundational data management tasks. It includes performing data review and analysis, creating and maintaining efficient data indexing, and applying Splunk methods for data normalization to ensure structured and usable datasets for security operations.
Topic 4
  • Automation and Efficiency: This section assesses Automation Engineers and SOAR Specialists in streamlining security operations. It covers developing automation for SOPs, optimizing case management workflows, utilizing REST APIs, designing SOAR playbooks for response automation, and evaluating integrations between Splunk Enterprise Security and SOAR tools.
Topic 5
  • Building Effective Security Processes and Programs: This section targets Security Program Managers and Compliance Officers, focusing on operationalizing security workflows. It involves researching and integrating threat intelligence, applying risk and detection prioritization methodologies, and developing documentation or standard operating procedures (SOPs) to maintain robust security practices.

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q45-Q50):

NEW QUESTION # 45
One of the goals of a detection engineer is to facilitate the triage process by providing the analyst as much context as possible. One way of accomplishing this is to provide context options through the use of which of the following settings?

Answer: A

Explanation:
A drill-down search is specifically designed to give analysts additional investigative context directly from a detection or finding. It allows an engineer to define a follow-on search that pivots from the current result into relevant supporting telemetry using fields such as user, src, dest, process name, host, or other contextual attributes.
For example, a finding concerning a suspicious user could provide a drill-down that automatically searches recent authentication activity for that same user. This reduces manual copying of values and significantly accelerates triage. The study material reinforces this workflow through its coverage of contextual dashboard values and drilldowns, where tokens can pass selected information into a new search.
A Correlation Search Name identifies the analytic but does not provide investigative context. A Risk Object Name identifies the entity receiving risk but does not define a contextual pivot. The Risk Analysis Adaptive Response Action creates or contributes risk events; it does not itself provide the analyst-facing navigation mechanism described.
Study Guide topics: drilldown searches, analyst triage, contextual fields, correlation searches, investigation workflow, detection actionability.


NEW QUESTION # 46
Consider the following series of events:
4:00 GMT Detection runs for interval 3:30-4:00
4:30 GMT Detection runs for interval 4:00-4:30
4:35 GMT Event 1 occurs on an endpoint
4:45 GMT Event 1 is indexed
5:00 GMT Detection runs for interval 4:30-5:00
5:05 GMT Event 1 finding is added to ES with timestamp 4:35
5:24 GMT Event 2 occurs on an endpoint
5:30 GMT Detection runs for interval 5:00-5:30
5:35 GMT Event 2 is indexed
6:00 GMT Detection runs for interval 5:30-6:00
What is the problem with the detection schedule chosen and how can it be solved?

Answer: C

Explanation:
In this scenario, events are indexed after the scheduled detection window has already executed, meaning detections miss relevant events. This happens due to log ingestion delay. The solution is to increase the detection time window (or use a delay offset) so that detections account for delayed logs, ensuring events like Event 1 and Event 2 are included in the proper detection run.


NEW QUESTION # 47
Based on a recent red team exercise, an organization is highly concerned about pass the hash attacks especially including tools like Empire. Which EventCode associated to PowerShell Script Block Logging would be used to detect this activity?

Answer: A

Explanation:
Windows PowerShell Event ID 4104 corresponds to PowerShell Script Block Logging . It records the contents of PowerShell script blocks processed during execution, making it valuable for behavioral detection of malicious or suspicious PowerShell activity, including commands generated by offensive frameworks.
For detection engineering, 4104 telemetry provides significantly more visibility into PowerShell behavior than simply monitoring process creation. The recorded script-block content can expose suspicious functions, credential-related operations, encoded or obfuscated commands, remote-execution logic, and framework- specific scripting patterns. This makes it useful when transforming red-team observations into repeatable behavioral detections.
EventCode=4624 is a Windows Security log event representing a successful logon . Although 4624 can contribute important evidence when investigating pass-the-hash or lateral movement, it is not PowerShell Script Block Logging. The other two event codes listed do not represent the PowerShell script-block event required by the question.
The supplied Cybersecurity Defense Engineer material contains the same scenario and identifies EventCode=4104 among the choices.
Study Guide topics: PowerShell Script Block Logging, Event ID 4104, Windows telemetry, endpoint detection, red-team-to-detection workflow, behavioral analytics.


NEW QUESTION # 48
What Splunk process ensures that duplicate data is not indexed?

Answer: A

Explanation:
Splunk prevents duplicate data from being indexed through event parsing, which occurs during the data ingestion process.
How Event Parsing Prevents Duplicate Data:
Splunk's indexer parses incoming data and assigns unique timestamps, metadata, and event IDs to prevent reindexing duplicate logs.
CRC Checks (Cyclic Redundancy Checks) are applied to avoid duplicate event ingestion.
Index-time filtering and transformation rules help detect and drop repeated data before indexing.


NEW QUESTION # 49
What does the following search do?

Answer: B

Explanation:
The search filters on EventCode=4688 (Windows event for process creation) and then uses stats count, values(process) by parent_process_name. This produces a list of processes (child processes) along with their parent processes, showing how many times each parent process created child processes.


NEW QUESTION # 50
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