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Splunk SPLK-5002 Exam Overview:
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| Topic | Details |
|---|
| Topic 1 | - 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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| 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.
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| Topic 3 | - 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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| Topic 4 | - 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.
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| 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 (Q73-Q78):
NEW QUESTION # 73
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, Enrich, Define, Eradicate
- B. Harden, Detect, Exhaust, Deceive, Eradicate
- C. Harden, Detect, Isolate, Disrupt, Evict
- D. Harden, Detect, Isolate, Deceive, Evict
Answer: D
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 # 74
Which actions can optimize case management in Splunk?(Choosetwo)
- A. Reducing the number of search heads
- B. Standardizing ticket creation workflows
- C. Integrating Splunk with ITSM tools
- D. Increasing the indexing frequency
Answer: B,C
Explanation:
Effective case management in Splunk Enterprise Security (ES) helps streamline incident tracking, investigation, and resolution.
How to Optimize Case Management:
Standardizing ticket creation workflows (A)
Ensures consistency in how incidents are reported and tracked.
Reduces manual errors and improves collaboration between SOC teams.
Integrating Splunk with ITSM tools (C)
Automates the process of creating and updating tickets in ServiceNow, Jira, or Remedy.
Enables better tracking of incidents and response actions.
NEW QUESTION # 75
What feature allows you to extract additional fields from events at search time?
- A. Event parsing
- B. Data modeling
- C. Search-time field extraction
- D. Index-time field extraction
Answer: C
Explanation:
Splunk allows dynamic field extraction to enhance data analysis without modifying raw indexed data.
Search-Time Field Extraction:
Extracts fields on-demand when running searches.
Uses Splunk's Field Extraction Engine (rex,spath, or automatic field discovery).
Minimizes indexing overhead by keeping the raw data unchanged.
NEW QUESTION # 76
An engineer has been asked to build a new dashboard after an increase in login failures across the organization's Microsoft Azure domain. They need to construct a search to only display failed logins for their Azure Active Directory users, and choose a visualization that will help analysts quickly identify failed logins that originate outside of North America. Which of the following search and visualization type combinations will achieve this?
- A. Search: index="main" sourcetype="ms:aad: signin" loginStatus=Failure | geostats latfield=geoCoordinates.latitude longfield=geoCoordinates.longitude count by user Visualization: Cluster Map
- B. Search: index="main" sourcetype="ms:aad:signin" | geostats latfield=geoCoordinates.latitude longfield=geoCoordinates.longitude count by user Visualization: Choropleth Map
- C. Search: index="main" sourcetype="WinEventLog" | geostats latfield=geoCoordinates.latitude longfield=geoCoordinates.longitude count by loginStatus Visualization: Choropleth Map
- D. Search: index="main" sourcetype="WinEventLog" loginStatus=Failure | geostats latfield=geoCoordinates.latitude longfield=geoCoordinates.longitude count by user Visualization: Cluster Map
Answer: A
Explanation:
The correct sourcetype for Azure Active Directory sign-ins is ms:aad:signin, and filtering on loginStatus=Failure ensures only failed logins are shown. Using geostats with latitude and longitude fields allows plotting login attempts geographically, and a Cluster Map visualization is best for quickly identifying failed logins originating outside of North America.
NEW QUESTION # 77
The Director of Security would like to understand the operational efficiency of the SOC analysts at a high level. What is a metric that can be used to determine their efficiency?
- A. MTTR
- B. MTBR
- C. MTTD
- D. MTTI
Answer: A
Explanation:
Mean Time to Respond (MTTR) measures how quickly SOC analysts take action after an alert is identified. It is a key high-level indicator of SOC operational efficiency.
NEW QUESTION # 78
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