SPLK-5002 Training Materials - SPLK-5002 Exam Dumps: Splunk Certified Cybersecurity Defense Engineer - SPLK-5002 Study Guide

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Splunk SPLK-5002 Exam Overview:

Certification Vendor:Splunk
Exam Name:Splunk Certified Cybersecurity Defense Engineer
Exam Number:SPLK-5002
Exam Format:Multiple choice, Hands-on lab simulation, Multiple select
Certificate Validity Period:3 years
Passing Score:65-70% (variable)
Available Languages:English
Related Certifications:Splunk Enterprise Security Certified Admin
Splunk Core Certified User
Splunk SOAR Certified Automation Developer
Exam Duration:120 minutes
Exam Price:$200 USD
Real Exam Qty:82
Sample Questions:Splunk SPLK-5002 Sample Questions
Exam Way:Online proctored exam at Pearson VUE testing centers or remote proctoring
Pre Condition:Splunk Core Certified User, Splunk Enterprise Security Certified Admin, and Splunk SOAR Certified Automation Developer recommended; minimum 1-2 years hands-on Splunk security experience strongly advised
Official Syllabus URL:https://www.splunk.com/en_us/training/certification-track/splunk-certified-cybersecurity-defense-engineer.html

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Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
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
  • 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 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
  • 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.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q42-Q47):

NEW QUESTION # 42
What Splunk process ensures that duplicate data is not indexed?

Answer: C

Explanation:
Splunk prevents duplicate data from being indexed through event parsing, which occurs during the data ingestion process.
How Event Parsing Prevents Duplicate Data:
Splunk's indexer parses incoming data and assigns unique timestamps, metadata, and event IDs to prevent reindexing duplicate logs.
CRC Checks (Cyclic Redundancy Checks) are applied to avoid duplicate event ingestion.
Index-time filtering and transformation rules help detect and drop repeated data before indexing.


NEW QUESTION # 43
How can an engineer verify if results will return for a potential detection based on historical events within the organization?

Answer: A

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 # 44
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?

Answer: D

Explanation:
The appropriate operationalization step is to convert the threat-hunting discovery into a correlation search .
The question distinguishes between a one-time manual notable created by an analyst and repeatable detection logic capable of identifying the same behavior automatically in future telemetry. A correlation search is the Splunk Enterprise Security mechanism designed to run detection logic on a defined schedule and trigger configured security outcomes when matching events are found.
A SOAR playbook is primarily a response and orchestration mechanism. It can enrich, contain, notify, or otherwise act on findings, but it is not the correct replacement for the core analytic responsible for continuously detecting the behavior. Similarly, applying a risk modifier could contribute evidence to Risk- Based Alerting, but it does not by itself satisfy the explicit requirement to automatically produce findings matching the threat-hunting activity.
The engineering progression represented here is therefore: hunt # validate suspicious behavior # convert the successful hypothesis into a repeatable correlation search # generate analyst-consumable findings .
Study Guide topics: threat hunting, correlation searches, detection operationalization, notable findings, detection lifecycle.


NEW QUESTION # 45
The SOC notices over the course of an investigation there are numerous logs similar to the following:
UDP: query: reallybad.c2.com IN A response: SERVFAIL
What detection should be created to alert on this behavior for the future?

Answer: D

Explanation:
The appropriate analytic is Excessive DNS Failures . The decisive evidence in the example is the DNS query followed by a SERVFAIL response. SERVFAIL is a DNS response condition indicating that the DNS server was unable to complete the requested resolution successfully. Repeated occurrences therefore represent DNS- resolution failures rather than authentication, endpoint, or generic network failures.
A detection engineer could aggregate these events across an appropriate time window and evaluate dimensions such as source host, queried domain, client, or response code. The objective is to distinguish ordinary occasional resolution failures from anomalous concentrations that warrant investigation.
The example is particularly security-relevant because the queried name resembles a command-and-control domain. However, the detection name requested by the question is driven by the observable pattern in the telemetry: repeated failed DNS resolutions. Such activity can result from misconfiguration, unavailable authoritative infrastructure, transient DNS problems, or suspicious software repeatedly attempting to resolve unavailable infrastructure. Analysts would use additional context to determine the actual cause.
None of the other options corresponds directly to the DNS SERVFAIL evidence shown in the event.
Study Guide topics: DNS telemetry, SERVFAIL, threshold-based detections, network security monitoring, DNS analytics, detection operationalization.


NEW QUESTION # 46
Which stash event field created by an adaptive response action allows for troubleshooting the correlation search that created the notable event?

Answer: C

Explanation:
The search_sid field in a stash event is created by an adaptive response action and points back to the search job ID of the correlation search that generated the notable. This allows analysts to troubleshoot by reviewing the exact search execution and results.


NEW QUESTION # 47
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