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Splunk SPLK-5002 Exam Syllabus Topics:

Topic	Details
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	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	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	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.

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q22-Q27):

NEW QUESTION # 22
Which action improves the effectiveness of notable events in Enterprise Security?

A. Applying suppression rules for false positives
B. Limiting the search scope to one index
C. Disabling scheduled searches
D. Using only raw log data in searches

Answer: A

Explanation:
Notable events in Splunk Enterprise Security (ES) are triggered by correlation searches, which generate alerts when suspicious activity is detected. However, if too many false positives occur, analysts waste time investigating non-issues, reducing SOC efficiency.
How to Improve Notable Events Effectiveness:
Apply suppression rules to filter out known false positives and reduce alert fatigue.
Refine correlation searches by adjusting thresholds and tuning event detection logic.
Leverage risk-based alerting (RBA) to prioritize high-risk events.
Use adaptive response actions to enrich events dynamically.
By suppressing false positives, SOC analysts focus on real threats, making notable events more actionable.
Thus, the correct answer is A. Applying suppression rules for false positives.
References:
Managing Notable Events in Splunk ES
Best Practices for Tuning Correlation Searches
Using Suppression in Splunk ES

NEW QUESTION # 23
What are essential steps in developing threat intelligence for a security program?(Choosethree)

A. Operationalizing intelligence through workflows
B. Collecting data from trusted sources
C. Analyzing and correlating threat data
D. Creating dashboards for executives
E. Conducting regular penetration tests

Answer: A,B,C

Explanation:
Threat intelligence in Splunk Enterprise Security (ES) enhances SOC capabilities by identifying known attack patterns, suspicious activity, and malicious indicators.
Essential Steps in Developing Threat Intelligence:
Collecting Data from Trusted Sources (A)
Gather data from threat intelligence feeds (e.g., STIX, TAXII, OpenCTI, VirusTotal, AbuseIPDB).
Include internal logs, honeypots, and third-party security vendors.
Analyzing and Correlating Threat Data (C)
Use correlation searches to match known threat indicators against live data.
Identify patterns in network traffic, logs, and endpoint activity.
Operationalizing Intelligence Through Workflows (E)
Automate responses using Splunk SOAR (Security Orchestration, Automation, and Response).
Enhance alert prioritization by integrating intelligence into risk-based alerting (RBA).

NEW QUESTION # 24
A company wants to implement risk-based detection for privileged account activities.
Whatshould they configure first?

A. Correlation searches with low thresholds
B. Asset and identity information for privileged accounts
C. Event sampling for raw data
D. Automated dashboards for all accounts

Answer: B

Explanation:
Why Configure Asset & Identity Information for Privileged Accounts First?
Risk-based detection focuses on identifying and prioritizing threats based on the severity of their impact. For privileged accounts (admins, domain controllers, finance users), understanding who they are, what they access, and how they behave is critical.
#Key Steps for Risk-Based Detection in Splunk ES:1##Define Privileged Accounts & Groups - Identify high- risk users (Admin, HR, Finance, CISO).2##Assign Risk Scores - Apply higher scores to actions involving privileged users.3##Enable Identity & Asset Correlation - Link users to assets for better detection.
4##Monitor for Anomalies - Detect abnormal login patterns, excessive file access, or unusual privilege escalation.
#Example in Splunk ES:
A domain admin logs in from an unusual location # Trigger high-risk alert A finance director downloads sensitive payroll data at midnight # Escalate for investigation Why Not the Other Options?
#B. Correlation searches with low thresholds - May generate excessive false positives, overwhelming the SOC.#C. Event sampling for raw data - Doesn't provide context for risk-based detection.#D. Automated dashboards for all accounts - Useful for visibility, but not the first step for risk-based security.
References & Learning Resources
#Splunk ES Risk-Based Alerting (RBA): https://www.splunk.com/en_us/blog/security/risk-based-alerting.
html#Privileged Account Monitoring in Splunk: https://docs.splunk.com/Documentation/ES/latest/User
/RiskBasedAlerting#Implementing Privileged Access Security (PAM) with Splunk: https://splunkbase.splunk.
com

NEW QUESTION # 25
Which REST API method is used to retrieve data from a Splunk index?

A. DELETE
B. PUT
C. GET
D. POST

Answer: C

Explanation:
The GET method in the Splunk REST API is used to retrieve data from a Splunk index. It allows users and automated scripts to fetch logs, alerts, or query results programmatically.
Key Points About GET in Splunk API:
Used for searching and retrieving logs from indexes.
Can be used to get search results, job status, and Splunk configuration details.
Common API endpoints include:
/services/search/jobs/{search_id}/results- Retrieves results of a completed search.
/services/search/jobs/export- Exports search results in real-time.

NEW QUESTION # 26
Which REST API actions can Splunk perform to optimize automation workflows?(Choosetwo)

A. GET for retrieving search results
B. DELETE for archiving historical data
C. PUT for updating index configurations
D. POST for creating new data entries

Answer: A,D

Explanation:
The Splunk REST API allows programmatic access to Splunk's features, helping automate security workflows in a Security Operations Center (SOC).
Key REST API Actions for Automation:
POST for creating new data entries (A)
Used to send logs, alerts, or notable events to Splunk.
Essential for integrating external security tools with Splunk.
GET for retrieving search results (C)
Fetches logs, alerts, and notable event details programmatically.
Helps automate security monitoring and incident response.

NEW QUESTION # 27
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Splunk SPLK-5002 Exam Syllabus Topics:

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q22-Q27):

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