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Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
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.
Topic 2
  • 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 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 (Q96-Q101):

NEW QUESTION # 96
An engineer notices that a detection is creating multiple Findings (notables) for the same potential incident. Which setting can be adjusted to reduce the number of generated findings (notables)?

Answer: B

Explanation:
Correlation search throttling is specifically intended to suppress repeated results that represent the same or substantially equivalent detection condition within a defined period. It is therefore the appropriate setting when a correlation search generates multiple findings for what analysts consider one potential incident.
Throttling is generally based on one or more result fields and a suppression period. For example, if repeated executions identify the same user and dest, the search can suppress additional findings matching that combination during the configured interval. This reduces redundant analyst workload while allowing materially different entities or events to generate new findings.
The engineering requirement is to select throttling fields carefully. Overly broad suppression can conceal genuinely distinct security events, while overly narrow suppression may fail to reduce duplicate findings. The suppression period likewise should reflect the behavior being detected and the expected recurrence pattern.
Correlation search priority affects prioritization rather than duplication. An adaptive risk modifier adds or modifies risk-related information but does not directly solve repeated notable generation. Adaptive response actions control downstream outcomes rather than the duplicate-suppression behavior requested.
Study Guide topics: correlation-search throttling, duplicate findings, notable suppression, detection tuning, analyst workload, false-positive reduction.


NEW QUESTION # 97
Which practices improve the effectiveness of security reporting?(Choosethree)

Answer: A,C,D

Explanation:
Effective security reporting helps SOC teams, executives, and compliance officers make informed decisions.
#1. Automating Report Generation (A)
Saves time by scheduling reports for regular distribution.
Reduces manual effort and ensures timely insights.
Example:
A weekly phishing attack report sent to SOC analysts.
#2. Customizing Reports for Different Audiences (B)
Technical reports for SOC teams include detailed event logs.
Executive summaries provide risk assessments and trends.
Example:
SOC analysts see incident logs, while executives get a risk summary.
#3. Providing Actionable Recommendations (D)
Reports should not just show data but suggest actions.
Example:
If failed login attempts increase, recommend MFA enforcement.
#Incorrect Answers:
C: Including unrelated historical data for context # Reports should be concise and relevant.
E: Using dynamic filters for better analysis # Useful in dashboards, but not a primary factor in reporting effectiveness.
#Additional Resources:
Splunk Security Reporting Guide
Best Practices for Security Metrics


NEW QUESTION # 98
Which fields are used to determine asset priority, when priority is assigned through an asset and identity lookup?

Answer: A

Explanation:
When priority is assigned through an asset and identity lookup, the fields dest, src, or dvc are used to determine asset priority. These fields map events to assets, allowing Enterprise Security to apply the appropriate criticality or priority value.


NEW QUESTION # 99
How can an engineer verify if results will return for a potential detection based on historical events within the organization?

Answer: C

Explanation:
To verify if a potential detection will return results, the engineer should run the detection against production data in the same Splunk instance. This ensures the query is tested against actual historical events from the organization's environment, confirming whether it generates meaningful results.


NEW QUESTION # 100
One of the goals of a detection engineer is to facilitate the triage process by providing the analyst as much context as possible. One way of accomplishing this is to provide context options through the use of which of the following settings?

Answer: B

Explanation:
A drill-down search is specifically designed to give analysts additional investigative context directly from a detection or finding. It allows an engineer to define a follow-on search that pivots from the current result into relevant supporting telemetry using fields such as user, src, dest, process name, host, or other contextual attributes.
For example, a finding concerning a suspicious user could provide a drill-down that automatically searches recent authentication activity for that same user. This reduces manual copying of values and significantly accelerates triage. The study material reinforces this workflow through its coverage of contextual dashboard values and drilldowns, where tokens can pass selected information into a new search.
A Correlation Search Name identifies the analytic but does not provide investigative context. A Risk Object Name identifies the entity receiving risk but does not define a contextual pivot. The Risk Analysis Adaptive Response Action creates or contributes risk events; it does not itself provide the analyst-facing navigation mechanism described.
Study Guide topics: drilldown searches, analyst triage, contextual fields, correlation searches, investigation workflow, detection actionability.


NEW QUESTION # 101
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