SPLK-5002 New Soft Simulations - SPLK-5002 Test Topics Pdf

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Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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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SPLK-5002 Test Topics Pdf & Reliable SPLK-5002 Practice Questions

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q59-Q64):

NEW QUESTION # 59
Which of the following macro values will exclude all of the company networks if it is called from the following search?
index=firewall sourcetype=pan:traffic NOT "company_networks"

Answer: A

Explanation:
To exclude all company networks from the search, the macro should negate the source IPs using NOT (src_ip IN (...)). This ensures that any traffic originating from the specified company networks is filtered out of the results.


NEW QUESTION # 60
An engineer wants to track and report on all authentication to corporate assets and wants to prioritize critical assets without significantly increasing the number of findings created. What process could be used to accomplish this goal?

Answer: D

Explanation:
A Risk Factor provides a scalable method for increasing the significance of risk associated with critical entities without creating separate detections for every asset tier. Therefore, the appropriate approach is to establish a general risk rule for authentication activity and apply an increased Risk Factor when the affected asset meets critical-asset criteria.
Risk-Based Alerting separates individual security observations from the final analyst-facing finding. Multiple low- or medium-confidence events can contribute risk to an entity, while contextual factors modify their importance. A critical production server, domain controller, or other highly sensitive asset can therefore receive greater effective risk than an ordinary workstation when otherwise equivalent activity occurs.
This directly addresses the requirement to prioritize critical assets without substantially increasing finding volume . Creating separate findings for every authentication event would overwhelm analysts. Instead, risk events can accumulate until meaningful combinations or thresholds justify escalation.
Changing every existing detection individually is less maintainable, while simply adding assets to a data model does not implement the required prioritization logic. Risk Factors provide contextual multiplication of risk based on entity characteristics.
Study Guide topics: Risk-Based Alerting, Risk Factors, asset criticality, risk objects, finding reduction, contextual prioritization.


NEW QUESTION # 61
When should a detection be reviewed or retuned after deployment?

Answer: B

Explanation:
A detection should be reviewed or retuned as defined by the established detection lifecycle (DDLC). This ensures detections are consistently evaluated for accuracy, effectiveness, and alignment with evolving threats, rather than only reacting to false positives or inactivity.


NEW QUESTION # 62
Which of the following identifies elements of the Detection Development Lifecyle (DDLC)?

Answer: D

Explanation:
The Detection Development Lifecycle (DDLC) includes the stages Design, Develop, Deploy, Monitor, and Maintain. This structured process ensures detections are thoughtfully built, effectively deployed, and continuously refined for accuracy and relevance.


NEW QUESTION # 63
Which of the following is a reason to utilize ES risk framework as a part of detection building?

Answer: A

Explanation:
The Enterprise Security Risk Framework enables detection engineers to express suspicious observations as risk against meaningful entities-typically users, systems, or other risk objects-and then prioritize those observations according to their security significance. Option C therefore represents the principal value being tested: prioritizing findings based on potential business impact .
In a Risk-Based Alerting design, an individual behavior does not necessarily need to generate an analyst- facing finding immediately. Instead, detections can generate risk events containing fields such as the risk object, risk object type, risk score, and contextual annotations. Multiple risk events can accumulate until correlation logic determines that the combined evidence warrants escalation. Risk Factors and asset/identity context can further modify significance when an affected entity is particularly sensitive or critical.
Risk processing is therefore fundamentally about contextual prioritization and evidence aggregation , not search-performance acceleration. It does not inherently create a threat-intelligence feedback loop, nor is its primary purpose to simplify SOAR execution. Those capabilities can interact with risk-based detections but are separate functions.
Study Guide topics: Enterprise Security Risk Framework; Risk-Based Alerting; risk objects; risk scores; business impact; security finding prioritization.


NEW QUESTION # 64
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