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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
  • 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
  • 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 (Q64-Q69):

NEW QUESTION # 64
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 # 65
Which sourcetype configurations affect data ingestion?(Choosethree)

Answer: A,B,C

Explanation:
The sourcetype in Splunk defines how incoming machine data is interpreted, structured, and stored. Proper sourcetype configurations ensure accurate event parsing, indexing, and searching.
#1. Event Breaking Rules (A)
Determines how Splunk splits raw logs into individual events.
If misconfigured, a single event may be broken into multiple fragments or multiple log lines may be combined incorrectly.
Controlled using LINE_BREAKER and BREAK_ONLY_BEFORE settings.
#2. Timestamp Extraction (B)
Extracts and assigns timestamps to events during ingestion.
Incorrect timestamp configuration leads to misplaced events in time-based searches.
Uses TIME_PREFIX, MAX_TIMESTAMP_LOOKAHEAD, and TIME_FORMAT settings.
#3. Line Merging Rules (D)
Controls whether multiline events should be combined into a single event.
Useful for logs like stack traces or multi-line syslog messages.
Uses SHOULD_LINEMERGE and LINE_BREAKER settings.
C: Data Retention Policies #
Affects storage and deletion, not data ingestion itself.
#Additional Resources:
Splunk Sourcetype Configuration Guide
Event Breaking and Line Merging


NEW QUESTION # 66
When building detections using the Authentication Data Model, which values are recommended for use against the action field?

Answer: A

Explanation:
Within the CIM Authentication Data Model , the action field represents the outcome or state of an authentication operation. The recommended normalized values represented by the question are success, failure, pending, and error .
Normalization is critical because authentication technologies use highly variable native terminology. A Windows event may represent an authentication result through one event code, a VPN appliance through another vendor-specific status, and a cloud identity provider through a JSON result field. CIM maps those source-specific outcomes into common semantic values. A detection engineer can therefore write logic such as:
action= " failure "
without separately accounting for every vendor ' s native representation.
allowed and blocked are more naturally associated with access or network-control decisions and do not describe the normalized authentication outcome being tested. Likewise, denied does not replace the CIM- normalized failure value in the answer set.
Consistent use of the expected action vocabulary directly affects detection reliability. Incorrect mappings can cause failed authentications to disappear from CIM-based searches, dashboards, accelerated data-model queries, and threshold detections.
Study Guide topics: Authentication Data Model; CIM; action; normalized authentication outcomes; data mapping; cross-source detection engineering.


NEW QUESTION # 67
When creating a new playbook to be called directly from Mission Control or Enterprise Security, which type of playbook must be used?

Answer: B

Explanation:
An Input playbook is the appropriate playbook type when the workflow must be invoked directly from Splunk Mission Control or Enterprise Security. Input playbooks are designed with an externally supplied input interface so that another Splunk security product can provide the data required by the playbook at invocation time.
This distinction matters because externally initiated playbooks need a defined contract describing what values the calling system passes into the workflow. Mission Control or Enterprise Security may provide information associated with the finding, event, entity, indicator, or investigation. The Input playbook can then use those supplied values for enrichment, investigation, containment, or other automated actions.
A generic Automation playbook is focused on orchestration logic but does not represent the specific external invocation model being tested. "Process" and "Response" are distractors in this context and do not identify the required playbook type.
Architecturally, Input playbooks help decouple the upstream detection platform from SOAR implementation details: Enterprise Security identifies the security condition and passes structured information, while SOAR executes the automated workflow.
Study Guide topics: Splunk SOAR playbook types; Input playbooks; Mission Control integration; Enterprise Security integration; external playbook invocation.


NEW QUESTION # 68
An EDR tool was recently purchased and needs to be integrated into existing Splunk SOAR playbooks. Which actions are typically associated with this type of asset?

Answer: C

Explanation:
EDR platforms commonly support host-level actions such as blocking malicious hashes, stopping or blocking processes, quarantining infected endpoints, and retrieving indicators for investigation.


NEW QUESTION # 69
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