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Splunk SPLK-5002 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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 5	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.

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q66-Q71):

NEW QUESTION # 66
When should a detection be reviewed or retuned after deployment?

A. Only if it has generated a large amount of false positives.
B. As defined by the established detection lifecycle.
C. Every 30 days.
D. Only if it hasn't generated a finding after several weeks.

Answer: B

Explanation:
A detection should be reviewed or retuned as defined by the established detection lifecycle (DDLC). This ensures detections are consistently evaluated for accuracy, effectiveness, and alignment with evolving threats, rather than only reacting to false positives or inactivity.

NEW QUESTION # 67
MITRE D3FEND is designed to complement MITRE ' s list of adversarial tactics, techniques, and common knowledge (ATT & CK). Which tactics are associated with MITRE D3FEND in order to detect, deny, and disrupt adversarial efforts?

A. Harden, Detect, Isolate, Deceive, Evict
B. Harden, Detect, Enrich, Define, Eradicate
C. Harden, Detect, Isolate, Disrupt, Evict
D. Harden, Detect, Exhaust, Deceive, Eradicate

Answer: A

Explanation:
The defensive tactic set represented in the question is Harden, Detect, Isolate, Deceive, and Evict . These concepts describe defensive objectives that complement the adversary-centered behaviors cataloged through MITRE ATT & CK.
Harden concerns increasing resistance to adversary activity before or during attack execution. Detect focuses on identifying malicious behavior or artifacts. Isolate limits an adversary ' s ability to interact with systems, resources, or other components. Deceive employs defensive deception to influence adversary perception or behavior. Evict addresses removing adversarial presence and associated effects from the defended environment.
This complements ATT & CK conceptually: ATT & CK helps defenders describe what adversaries do, while D3FEND structures defensive countermeasure knowledge. For a detection engineer, the pairing can improve security-program design by connecting observable adversary techniques with candidate defensive approaches rather than viewing detection as an isolated control.
The alternative choices contain terms that are not part of the tactic combination tested in the supplied question, such as Enrich, Define, Exhaust, and Eradicate.
Study Guide topics: MITRE D3FEND, MITRE ATT & CK, defensive tactics, security architecture, detection and response strategy.

NEW QUESTION # 68
A new playbook needs to be developed for automated phishing analysis and response.
Configured in SOAR are integrations with Splunk Enterprise Security and actions from assets that pull in user-reported emails, perform automated threat analysis, add blocks on the proxy, and an EDR vendor to take various actions. Which would be the best workflow for the new playbook?

A. 1. Ingest the email from the mail vendor
2. Detonate email in the automated threat analysis system and collect verdict, looking for malicious indicators
3. Search the mail system for all users that received the email
4. Block all URLs and processes with the proxy and EDR solutions
B. 1. Ingest the email from the mail vendor
2. Detonate email in the automated threat analysis system and collect verdict, looking for malicious indicators
3. Search the mail system for all users that received the email
4. Block any malicious URLs and processes with the proxy and EDR solutions
C. 1. Submit the user reported email from Splunk Enterprise Security
2. Search the mail system for all users that received the email
3. Review results from the automated threat analysis
4. Block any malicious URLs and processes with the proxy and EDR solutions
D. 1. Submit the email from Splunk Enterprise Security
2. Search the mail system for all users that received the email
3. Review results from the automated threat analysis
4. Block any malicious URLs and processes with the proxy and EDR solutions

Answer: B

Explanation:
The best workflow for automated phishing analysis and response is:
1. Ingest the email from the mail vendor - acquire the reported email for analysis.
2. Detonate the email in the automated threat analysis system and collect verdict - determine if the email is malicious and extract indicators.
3. Search the mail system for all users that received the email - identify impacted users.
4. Block any malicious URLs and processes with the proxy and EDR solutions - take targeted remediation based on verified malicious indicators.

NEW QUESTION # 69
Based on this example image, if it is detected that a member has been added to a security-enabled local group, how many risk events will be created?

A. 0
B. 1
C. 2
D. 3

Answer: B

Explanation:
The configuration shown contains two separate Risk Modifiers , so a single detection result will generate two risk events .
The first Risk Modifier assigns:
* Risk Score: 10
* Risk Object Field: src
* Risk Object Type: system
The second Risk Modifier assigns:
* Risk Score: 10
* Risk Object Field: user
* Risk Object Type: user
Splunk Enterprise Security creates a separate risk event for each configured risk modifier because each modifier applies risk to a distinct risk object . In this example, one event attributes risk to the source system represented by src, while another attributes risk to the account represented by user.
The two scores are not added together to determine the number of events . Therefore, option A (20) confuses total numerical risk contribution with event count, while option C (10) represents the score assigned to each individual risk event rather than the number created. Option B is incorrect because there are two configured risk objects.
This configuration is a common Risk-Based Alerting pattern: one suspicious action can simultaneously contribute risk to multiple entities involved in the activity.
Study Guide topics: Risk Analysis Adaptive Response Action, Risk Modifiers, risk objects, risk object types, risk scores, Risk-Based Alerting.

NEW QUESTION # 70
What is one method used in ESCU content to calculate a risk score when creating a detection that uses the Risk Analysis adaptive response action?

A. Risk Score = (Risk Object Priority * Confidence/100)
B. Risk Score = (Impact * Confidence/100)
C. Risk Score = (Impact * Priority/100)
D. Risk Score = (Risk Object Severity * Confidence/100)

Answer: A

Explanation:
In Enterprise Security Content Update (ESCU), when creating a detection that uses the Risk Analysis adaptive response action, the risk score is calculated as:
Risk Score = (Risk Object Priority * Confidence / 100)
This formula weights the inherent priority of the risk object by the confidence level of the detection.

NEW QUESTION # 71
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