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Splunk SPLK-5002 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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	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 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 Certified Cybersecurity Defense Engineer Sample Questions (Q75-Q80):

NEW QUESTION # 75
Which of the following should an engineer do as they evaluate their Threat Detection and Incident Response lifecycle?

A. Evaluate the threat process lifecycle solely from predefined technical profiles.
B. Use the MITRE ATT & CK Framework to evaluate the organization ' s risk appetite.
C. Focus efforts on the least impactful threat vectors.
D. Evaluate the threat process lifecycle based on contextual business and industry knowledge.

Answer: D

Explanation:
Threat Detection and Incident Response must be evaluated in the context of the organization ' s business model, operating environment, assets, adversaries, and industry-specific threat landscape . Detection engineering cannot be prioritized effectively using technical indicators alone.
For example, credential-access activity affecting an ordinary laboratory workstation and the same activity affecting a privileged financial system may require substantially different priorities. Similarly, a healthcare organization, financial institution, manufacturer, and cloud provider have different critical systems, regulatory requirements, attack surfaces, and likely adversary objectives.
MITRE ATT & CK provides an excellent taxonomy for adversary tactics and techniques, but ATT & CK itself does not define an organization ' s risk appetite . Risk appetite depends on business governance and tolerance for operational, financial, regulatory, and security impact. Therefore, option B improperly substitutes a threat-behavior framework for a business risk-management decision.
Focusing on the least impactful threat vectors is equally inconsistent with risk-based security engineering.
Effective programs allocate detection and response resources according to realistic threats and organizational consequences.
The question appears in the lifecycle section on page 3 of the supplied material.
Study Guide topics: Threat Detection and Incident Response lifecycle, business context, risk prioritization, threat modeling, MITRE ATT & CK, program maturity.

NEW QUESTION # 76
Based on the provided screenshot, it ' s discovered that different machines or accounts have been associated with the shown threat objects.

Enterprise Security has identified that these machines and accounts all point back to one owner - Fyodor. Which two frameworks in ES are responsible for programmatically associating this information together?

A. Risk, Incident Review
B. Risk, Assets & Identities
C. Threat Intelligence, Assets & Identities
D. Threat Intelligence, Risk

Answer: B

Explanation:
The correct combination is the Risk Framework and the Assets & Identities Framework .
The Risk Framework is responsible for associating security observations with risk objects , such as users, systems, IP addresses, or other entities. In the exhibit, multiple threat objects are linked to various risk objects, and accumulated activity contributes to the displayed risk score and event count. This allows Enterprise Security to correlate multiple security observations around an entity rather than treating each event independently.
The Assets & Identities Framework provides the enrichment necessary to recognize that different usernames, email addresses, aliases, devices, or accounts can represent the same underlying identity . In the screenshot, several identity aliases are shown as belonging to Fyodor. This framework supplies the contextual relationship that lets Enterprise Security consolidate those identifiers around one owner.
Threat Intelligence can provide malicious indicators, but it does not perform the identity-resolution function described. Incident Review is primarily an analyst workflow interface rather than the framework creating these programmatic entity relationships.
The same Risk Events/Threat Topology scenario is included in the supplied Cybersecurity Defense Engineer material.
Study Guide topics: Risk Framework, Assets & Identities Framework, risk objects, identity aliases, entity enrichment, Threat Topology, Risk-Based Alerting.

NEW QUESTION # 77
When developing security metrics, why would a Key Performance Indicator (KPI) that focuses on total perimeter firewall blocks be an ineffective metric?

A. Perimeter firewalls are exposed on the internet directly and thus subject to automated scanners and attack tools.
B. This a Key Result Indicator, not a KPI. It is a metric that is measuring the results of the perimeter firewall's actions, not the performance of the firewall.
C. The metric is too high level, it should be broken down by the type of block. For example, blocks of remote systems that have repeated failed connections to services that do not exist.
D. Perimeter firewalls should be measured on both the number of connections that they permit as well as the number they block.

Answer: A

Explanation:
A KPI based on total perimeter firewall blocks is ineffective because perimeter firewalls are constantly exposed to the internet and subject to automated scans and attack tools, which can generate very high block counts. This inflates the metric with noise, making it a poor indicator of actual security performance or risk reduction.

NEW QUESTION # 78
Which methodology prioritizes risks by evaluating both their likelihood and impact?

A. Statistical anomaly detection
B. Incident lifecycle management
C. Risk-based prioritization
D. Threat modeling

Answer: C

Explanation:
Understanding Risk-Based Prioritization
Risk-based prioritization is a methodology that evaluatesboth the likelihood and impact of risksto determine which threats require immediate action.
#Why Risk-Based Prioritization?
Focuses onhigh-impact and high-likelihoodrisks first.
HelpsSOC teams manage alerts effectivelyand avoid alert fatigue.
Used inSIEM solutions (Splunk ES) and Risk-Based Alerting (RBA).
Example in Splunk Enterprise Security (ES):
Afailed login attemptfrom aninternal employeemight below risk(low impact, low likelihood).
Multiple failed loginsfrom aforeign countrywith a knownbad reputationcould behigh risk(high impact, high likelihood).
#Incorrect Answers:
A: Threat modeling# Identifies potential threats but doesn'tprioritize risks dynamically.
C: Incident lifecycle management# Focuses on handling security incidents, notrisk evaluation.
D: Statistical anomaly detection# Detects unusual activity but doesn'tprioritize based on impact.
#Additional Resources:
Splunk Risk-Based Alerting (RBA) Guide
NIST Risk Assessment Framework

NEW QUESTION # 79
A security analyst wants to validate whether a newly deployed SOAR playbook is performing as expected.
Whatsteps should they take?

A. Monitor the playbook's actions in real-time environments
B. Automate all tasks within the playbook immediately
C. Test the playbook using simulated incidents
D. Compare the playbook to existing incident response workflows

Answer: C

Explanation:
A SOAR (Security Orchestration, Automation, and Response) playbook is a set of automated actions designed to respond to security incidents. Before deploying it in a live environment, a security analyst must ensure that it operates correctly, minimizes false positives, and doesn't disrupt business operations.
#Key Reasons for Using Simulated Incidents:
Ensures that the playbook executes correctly and follows the expected workflow.
Identifies false positives or incorrect actions before deployment.
Tests integrations with other security tools (SIEM, firewalls, endpoint security).
Provides a controlled testing environment without affecting production.
How to Test a Playbook in Splunk SOAR?
1##Use the "Test Connectivity" Feature - Ensures that APIs and integrations work.2##Simulate an Incident - Manually trigger an alert similar to a real attack (e.g., phishing email or failed admin login).3##Review the Execution Path - Check each step in the playbook debugger to verify correct actions.4##Analyze Logs & Alerts - Validate that Splunk ES logs, security alerts, and remediation steps are correct.5##Fine-tune Based on Results - Modify the playbook logic to reduce unnecessary alerts or excessive automation.
Why Not the Other Options?
#B. Monitor the playbook's actions in real-time environments - Risky without prior validation. Itcan cause disruptions if the playbook misfires.#C. Automate all tasks immediately - Not best practice. Gradual deployment ensures better security control and monitoring.#D. Compare with existing workflows - Good practice, but it does not validate the playbook's real execution.
References & Learning Resources
#Splunk SOAR Documentation: https://docs.splunk.com/Documentation/SOAR#Testing Playbooks in Splunk SOAR: https://www.splunk.com/en_us/products/soar.html#SOAR Playbook Debugging Best Practices:
https://splunkbase.splunk.com

NEW QUESTION # 80
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