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Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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.
Topic 4
  • 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 5
  • 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.

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Splunk SPLK-5002 Questions To Make Sure Results [2026]

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q78-Q83):

NEW QUESTION # 78
An engineer is examining a correlation search as a part of a detection review, and sees that it is configured in the following fashion:

Which of the following is true about this configuration?

Answer: C

Explanation:
The correlation search is scheduled to run every 2 minutes (*/2 * * * *) but is querying a 60-minute window (earliest = -60m@m). This large mismatch between the time range and the execution frequency is considered an improper configuration for ES correlation searches.
Such a configuration can lead to inconsistent detection behavior, including missed or duplicate findings, because the search continually reprocesses a very large window using a very short execution interval.


NEW QUESTION # 79
Which of the following macro values will exclude all of the company networks if it is called from the following search?
index=firewall sourcetype=pan\:traffic NOT " company_networks "

Answer: C

Explanation:
The macro should contain the positive definition of the company networks , because the calling SPL already applies NOT to the macro ' s result. Conceptually, the expanded search becomes:
index=firewall sourcetype=pan\:traffic
NOT (src_ip IN (151.157.30.0/24, 26.06.18.0/24))
This excludes events whose src_ip belongs to either specified company network. Therefore, option A supplies the correct macro body.
Option B already contains NOT; placing it behind the outer NOT would effectively reverse the intended exclusion. Options C and D also use AND between two mutually distinct network conditions. A single source IP cannot simultaneously belong to both independent /24 networks, so this does not correctly describe the desired set.
In normal SPL notation, a macro invocation is represented with backticks, such as `company_networks`. The underlying design principle remains that macros encapsulate reusable SPL fragments, a capability explicitly covered in the supplied material.
Study Guide topics: SPL macros, Boolean filtering, IN, CIDR/network filtering, reusable search logic, detection optimization.


NEW QUESTION # 80
A detection engineer is using a threat defense informed strategy to define use cases. Which Splunk app would best facilitate their use case development process by cross referencing detections with the MITRE ATT & CK Framework?

Answer: D

Explanation:
The correct answer remains Splunk Security Essentials App . Although the answer choices have been reordered, the technical requirement is unchanged: the engineer needs an application that facilitates use-case development by cross-referencing security detections with MITRE ATT & CK .
Splunk Security Essentials is particularly suited to this process because it provides curated security content and ATT & CK-oriented views that help engineers understand which detections correspond to specific adversary techniques. This enables a threat-informed program to evaluate existing coverage, identify gaps, understand data prerequisites, and prioritize detection development according to realistic adversary behaviors.
The supplied course material also uses Splunk Security Essentials in the context of ATT & CK-based analysis, including industry-oriented technique visualization, which is consistent with this function.
By contrast, Enterprise Security is the primary operational SIEM and detection platform, while the Enterprise Security Content Update App is used to distribute and update Splunk security content. The supporting-add-on option does not represent the principal ATT & CK-driven use-case development experience being tested.
Study Guide topics: Splunk Security Essentials, MITRE ATT & CK, threat-informed defense, use-case development, detection coverage assessment, security-content mapping.


NEW QUESTION # 81
In Enterprise Security, what is the name of the threat intelligence lookup pertaining to files?

Answer: D

Explanation:
In Splunk Enterprise Security, the file_intel lookup is used for threat intelligence related to files, such as file hashes or suspicious file indicators. This lookup allows correlation searches and risk scoring to incorporate known malicious file information.


NEW QUESTION # 82
Which Splunk feature helps to standardize data for better search accuracy and detection logic?

Answer: C

Explanation:
Why Use "Data Models" for Standardized Search Accuracy and Detection Logic?
SplunkData Modelsprovide astructured, normalized representationof raw logs, improving:
#Search consistency across different log sources#Detection logic by ensuring standardized field names#Faster and more efficient querieswith data model acceleration
#Example in Splunk Enterprise Security:#Scenario:A SOC team monitors login failures acrossmultiple authentication systems.#Without Data Models:Different logs usesrc_ip, source_ip, or ip_address, making searches complex.#With Data Models:All fieldsmap to a standard format, enablingconsistent detection logic.
Why Not the Other Options?
#A. Field Extraction- Extracts fields from raw events butdoes not standardize field names across sources.#C.
Event Correlation- Detects relationships between logsbut doesn't normalize data for search accuracy.#D.
Normalization Rules- A general term; Splunkuses CIM & Data Models for normalization.
References & Learning Resources
#Splunk Data Models Documentation: https://docs.splunk.com/Documentation/Splunk/latest/Knowledge
/Aboutdatamodels#Using CIM & Data Models for Security Analytics: https://splunkbase.splunk.com/app
/263#How Data Models Improve Search Performance: https://www.splunk.com/en_us/blog/tips-and-


NEW QUESTION # 83
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