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Splunk SPLK-5002 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 4	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 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 (Q86-Q91):

NEW QUESTION # 86
A detection engineer is using a threat defense informed strategy to define use cases. Which Splunk app would best facilitate their use case development process by cross referencing detections with the MITRE ATT & CK Framework?

A. Supporting add-on for MITRE ATT & CK
B. Splunk Security Essentials App
C. Enterprise Security
D. Enterprise Security Content Update App

Answer: B

Explanation:
Splunk Security Essentials (SSE) is the best fit because it is specifically designed to help security teams explore, organize, and assess security use cases and detection content. A threat-informed defense workflow requires engineers to relate candidate detections to adversary behaviors, and SSE provides security-content views that map detections to the MITRE ATT & CK framework , enabling analysts to identify relevant tactics, techniques, and coverage gaps.
This capability supports a structured use-case development process: determine the adversary behaviors relevant to the organization, review available detections aligned to those behaviors, identify required data sources, and determine where additional detection coverage is needed. The supplied Cybersecurity Defense Engineer material reinforces this use of Splunk Security Essentials by associating it with MITRE ATT & CK analysis and industry-focused ATT & CK visualization.
Enterprise Security is the operational SIEM platform where detections execute, while the Enterprise Security Content Update app distributes security content. A "Supporting add-on for MITRE ATT & CK" is not the primary use-case development application described here.
Study Guide topics: threat-informed defense, Splunk Security Essentials, MITRE ATT & CK mapping, detection coverage, use-case development, security-content analysis.

NEW QUESTION # 87
What does the following search do?

A. Displays a count of processes created by the same child process.
B. Displays a count of processes created by the same user.
C. Displays a list of processes and their parent processes.
D. Displays a list of newly created processes and the user that created them.

Answer: C

Explanation:
The search filters on EventCode=4688 (Windows event for process creation) and then uses stats count, values(process) by parent_process_name. This produces a list of processes (child processes) along with their parent processes, showing how many times each parent process created child processes.

NEW QUESTION # 88
When creating detections, which of the following sequences would result in the most performant SPL query?

A. Define base query, minimize data, combine/summarize data, execute calculations, format the data
B. Define base query, combine/summarize data, minimize data, execute calculations, format the data
C. Define base query, minimize data, combine/summarize data, format the data, execute calculations
D. Define base query, minimize data, format the data, combine/summarize data, execute calculations

Answer: A

Explanation:
The most performant SPL design is to define the base query, minimize the data set as early as possible, combine or summarize the remaining data, perform calculations, and format the final output last.
The critical optimization principle is early reduction of search cardinality. Filtering unnecessary events and fields before expensive aggregation or calculation means downstream commands operate on substantially less data. Once the search has constrained the relevant events, aggregation commands such as stats, tstats, or equivalent summarization reduce the event stream further. Calculations with eval or related functions should then operate on this smaller result set, and display-oriented operations such as table, rename, or final formatting should be performed only after analytical processing is complete.
Option A performs aggregation before minimizing the dataset, potentially requiring unnecessary events to participate in expensive operations. Options C and D perform formatting too early, which does not improve detection execution and can complicate or increase downstream processing.
The supplied study material also emphasizes efficient indexed/accelerated searching such as tstats instead of unnecessarily broad raw-event processing, reinforcing the same performance principle.
Study Guide topics: performant SPL, early filtering, aggregation, stats, tstats, search optimization, detection engineering efficiency.

NEW QUESTION # 89
Which type of correlation search reviews the events in the risk index and uses an aggregation of events impacting a single risk object to generate risk notables?

A. Risk Category
B. Risk Rule
C. Risk Incident Notable
D. Risk Incident Rule

Answer: D

NEW QUESTION # 90
The following SPL is designed to report on a certain SOC metric. Which metric is the most likely topic for this report?

A. Mean time to Respond
B. Dwell Time
C. Mean time to Resolve
D. Mean time to Triage

Answer: D

Explanation:
The SPL calculates the time difference between create_time and triage_time for notable events.
This directly measures how long it takes analysts to triage an alert after it is created, which is the definition of Mean Time to Triage (MTTT).

NEW QUESTION # 91
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