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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
  • 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 3
  • 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 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
  • 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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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q99-Q104):

NEW QUESTION # 99
Based on the provided screenshot, it's discovered that different machines or accounts have been associated with the shown threat objects. Enterprise Security has identified that these machines and accounts all point back to one owner - Fyodor. Which two frameworks in ES are responsible for programmatically associating this information together?

Answer: A

Explanation:
The Risk framework aggregates risky behaviors and assigns risk scores to users, systems, or accounts, while the Assets & Identities framework enriches events by correlating them with identity and asset information. Together, they programmatically associate different machines and accounts back to a single owner, as shown with Fyodor in the screenshot.


NEW QUESTION # 100
MITRE D3FEND is designed to compliment 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?

Answer: D

Explanation:
The defensive tactic categories represented by MITRE D3FEND in this course context are Harden, Detect, Isolate, Deceive, and Evict .
Harden focuses on increasing resistance to adversary techniques through defensive configuration and protection. Detect encompasses techniques intended to identify malicious activity or artifacts. Isolate limits adversary access or interaction with protected resources. Deceive deliberately manipulates an adversary ' s perception of the environment, often using decoys or deceptive information. Evict concerns removing adversarial presence and associated persistence from the defended environment.
D3FEND complements ATT & CK because the two frameworks address opposite sides of the defensive problem. ATT & CK catalogs observable adversary behaviors and techniques, while D3FEND provides structured defensive knowledge that can be associated with those behaviors. Detection engineers can therefore use ATT & CK to understand what an adversary may do and D3FEND to reason about defensive countermeasures.
The supplied Cybersecurity Defense Engineer material directly includes this D3FEND tactic-set question.
Study Guide topics: MITRE D3FEND, MITRE ATT & CK, defensive countermeasures, threat-informed defense, detection strategy.


NEW QUESTION # 101
The following SPL is designed to report on a certain SOC metric. Which metric is the most likely topic for this report?
| tstats summariesonly=true earliest(_time) as _time
FROM datamodel=Incident_Management
BY " Notable_Events.Meta.rule_id "
| rename " Notable_Events.Meta.* " as " * "
| lookup update=true incident_updates_lookup rule_id OUTPUTNEW time
| search time=*
| stats earliest(_time) as create_time, min(time) as triage_time by rule_id
| eval diff=triage_time-create_time,
stat_type=if(
create_time < relative_time(now(), " -7d@d " ),
" past " ,
" current "
),
past=if(stat_type= " past " , 1, 0),
current=if(stat_type= " current " , 1, 0),
past_diff=if(stat_type= " past " , diff, 0),
current_diff=if(stat_type= " current " , diff, 0)
| stats sum(past) AS past,
sum(current) AS current,
sum(past_diff) AS past_diff,
sum(current_diff) AS current_diff
| eval past=round(past_diff/past/60),
current=round(current_diff/current/60)
| table past, current
| transpose

Answer: A

Explanation:
The SPL is measuring Mean Time to Triage because it calculates the elapsed time between creation of a notable event and the earliest recorded triage-related update.
The most important portion is:
| stats earliest(_time) as create_time, min(time) as triage_time by rule_id
| eval diff=triage_time-create_time
create_time represents when the notable was first generated, while triage_time is derived from the earliest applicable incident update. Subtracting the creation timestamp from the triage timestamp produces the amount of time analysts required to begin processing or triaging the finding.
The search then categorizes records into past and current periods, calculates average differences, and converts those values into minutes. This permits comparison of SOC triage performance across reporting periods.
Mean Time to Respond would require a timestamp representing a response action. Mean Time to Resolve requires closure or resolution information. Dwell Time measures how long adversary activity remains present or undetected and is therefore conceptually different from the notable-event lifecycle calculation shown.
Study Guide topics: SOC metrics, Mean Time to Triage, Incident Management data model, notable lifecycle, incident_updates_lookup, operational performance reporting.


NEW QUESTION # 102
In order to perform a complete data assessment, an engineer ' s role within Splunk must have which of the following?

Answer: A

Explanation:
A complete data assessment requires the engineer to have access to the applicable indexes . Splunk role- based access controls determine which indexes a user can search. If the engineer cannot read an index containing relevant security telemetry, any inventory or assessment performed from that account will be incomplete because the corresponding hosts, sources, sourcetypes, events, and normalized fields will not be visible to searches.
This matters when assessing whether required data sources exist for detection use cases. Commands such as metadata, tstats, and searches against CIM data models are constrained by the data the user ' s role is authorized to search. The study material emphasizes index visibility when discussing efficient discovery of indexes and sourcetypes and separately addresses data-model configuration that determines which indexes participate in searches.
Editing macros is useful when modifying reusable SPL or CIM constraints but is not required simply to assess available data. Creating correlation searches is a detection-development privilege rather than a data- assessment prerequisite. Knowledge Objects are important for normalization and enrichment, but access to them cannot compensate for an inability to search the underlying indexes.
Study Guide topics: Splunk role-based access, index permissions, data assessment, metadata discovery, tstats, CIM data availability.


NEW QUESTION # 103
What are essential practices for generating audit-ready reports in Splunk?(Choosethree)

Answer: A,B,C

Explanation:
Audit-ready reports help demonstrate compliance with security policies and regulations (e.g., PCI DSS, HIPAA, ISO 27001, NIST).
#1. Including Evidence of Compliance with Regulations (A)
Reports must show security controls, access logs, and incident response actions.
Example:
A PCI DSS compliance report tracks privileged user access logs and unauthorized access attempts.
#2. Ensuring Reports Are Time-Stamped (C)
Provides chronological accuracy for security incidents and log reviews.
Example:
Incident response logs should include detection, containment, and remediation timestamps.
#3. Automating Report Scheduling (D)
Enables automatic generation and distribution of reports to stakeholders.
Example:
A weekly audit report on security logs is auto-emailed to compliance officers.
#Incorrect Answers:
B: Excluding all technical metrics # Security reports must include event logs, IP details, and correlation results.
E: Using predefined report templates exclusively # Reports should be customized for compliance needs.
#Additional Resources:
Splunk Compliance Reporting Guide
Automating Security Reports in Splunk


NEW QUESTION # 104
......

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