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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	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 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	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 (Q50-Q55):

NEW QUESTION # 50
Which of the following is a methodology to help prevent malicious lateral movement?

A. Lockheed Martin Cyber Kill Chain
B. Zero Trust
C. Breakglass
D. MITRE ATT&CK

Answer: B

Explanation:
Zero Trust is a security methodology that helps prevent malicious lateral movement by enforcing the principle of "never trust, always verify." It restricts access based on continuous verification, least privilege, and microsegmentation, making it harder for attackers to move laterally within the network.

NEW QUESTION # 51
Which methodology prioritizes risks by evaluating both their likelihood and impact?

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

Answer: A

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 # 52
Which features of Splunk are crucial for tuning correlation searches? (Choose three)

A. Reviewing notable event outcomes
B. Using thresholds and conditions
C. Optimizing search queries
D. Disabling field extractions
E. Enabling event sampling

Answer: A,B,C

Explanation:
Correlation searches are a key component of Splunk Enterprise Security (ES) that help detect and alert on security threats by analyzing machine data across various sources. Proper tuning of these searches is essential to reduce false positives, improve performance, and enhance the accuracy of security detections in a Security Operations Center (SOC).
Crucial Features for Tuning Correlation Searches
1. Using Thresholds and Conditions (A)
Thresholds help control the sensitivity of correlation searches by defining when a condition is met.
Setting appropriate conditions ensures that only relevant events trigger notable events or alerts, reducing noise.
Example:
Instead of alerting on any failed login attempt, a threshold of 5 failed logins within 10 minutes can be set to identify actual brute-force attempts.
2. Reviewing Notable Event Outcomes (B)
Notable events are generated by correlation searches, and reviewing them is critical for fine- tuning. Analysts in the SOC should frequently review false positives, duplicates, and low-priority alerts to refine rules.
Example:
If a correlation search is generating excessive alerts for normal user activity, analysts can modify it to exclude known safe behaviors.
3. Optimizing Search Queries (E)
Efficient Splunk Search Processing Language (SPL) queries are crucial to improving search performance.
Best practices include:
Using index-time fields instead of extracting fields at search time.
Avoiding wildcards and unnecessary joins in searches.
Using tstats instead of regular searches to improve efficiency.
Example:
Using:
| tstats count where index=firewall by src_ip
instead of:
index=firewall | stats count by src_ip
can significantly improve performance.

NEW QUESTION # 53
The threat-hunting team has identified suspicious activity. An analyst manually creates a notable event using an event action to track the activity. How should a detection engineer ensure this activity automatically produces findings in the future?

A. Create a SOAR playbook to identify events matching the activity and assign an urgency.
B. Create a correlation search to produce notable events for the activity.
C. Create a risk modifier for events matching the activity.
D. Create a SOAR playbook to assign risk modifiers for events matching the activity.

Answer: B

Explanation:
To ensure that suspicious activity consistently generates findings in the future, the detection engineer should create a correlation search for the identified activity. This automates detection by continuously monitoring for the same pattern and producing notable events when it occurs again.

NEW QUESTION # 54
Which field in the risk index is used to describe the activity within a finding?

A. risk_reason
B. risk_message
C. risk_object
D. risk_description

Answer: A

Explanation:
The risk_reason field in the risk index is used to describe the specific activity or behavior that contributed to the risk in a finding. This provides context for analysts to understand why the risk event was generated.

NEW QUESTION # 55
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