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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
  • 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 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
  • 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 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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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q101-Q106):

NEW QUESTION # 101
In order to perform a complete data assessment, an engineer ' s role within Splunk must have which of the following?

Answer: A


NEW QUESTION # 102
An engineer creates a new event type. What defines the association of this event type to an applicable data model?

Answer: A

Explanation:
The tag or tags assigned to an event type establish its semantic association with the appropriate Common Information Model data-model dataset. Splunk CIM commonly uses event types together with tags to classify heterogeneous events into standardized categories.
An event type itself is defined by a search expression that identifies matching events, but the search string does not by itself establish CIM data-model membership. After the event type has been created, the appropriate CIM tag-such as one representing authentication, network traffic, change activity, or another normalized domain-is applied. Data-model dataset constraints can then recognize events carrying the required tag.
Field aliases serve a different purpose: they map source-specific field names to normalized CIM field names.
They are essential for schema normalization but do not determine the event type ' s association with a data model. Similarly, a saved-search name has no role in assigning CIM dataset membership.
The supplied Cybersecurity Defense Engineer material explicitly tests the same architectural concept by identifying tags as the construct that ensures events from different sources participate in an applicable CIM data model.
Study Guide topics: CIM, event types, tags, data-model constraints, field normalization, CIM dataset membership.


NEW QUESTION # 103
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?

Answer: A

Explanation:
The correct answer remains Splunk Security Essentials App . Although the answer choices have been reordered, the technical requirement is unchanged: the engineer needs an application that facilitates use-case development by cross-referencing security detections with MITRE ATT & CK .
Splunk Security Essentials is particularly suited to this process because it provides curated security content and ATT & CK-oriented views that help engineers understand which detections correspond to specific adversary techniques. This enables a threat-informed program to evaluate existing coverage, identify gaps, understand data prerequisites, and prioritize detection development according to realistic adversary behaviors.
The supplied course material also uses Splunk Security Essentials in the context of ATT & CK-based analysis, including industry-oriented technique visualization, which is consistent with this function.
By contrast, Enterprise Security is the primary operational SIEM and detection platform, while the Enterprise Security Content Update App is used to distribute and update Splunk security content. The supporting-add-on option does not represent the principal ATT & CK-driven use-case development experience being tested.
Study Guide topics: Splunk Security Essentials, MITRE ATT & CK, threat-informed defense, use-case development, detection coverage assessment, security-content mapping.


NEW QUESTION # 104
When creating a detection, how might an engineer ensure that all possible contextual fields about a given asset and identity are added to a risk event?

Answer: A

Explanation:
To ensure all possible contextual fields about an asset and identity are included in a risk event, the engineer should include the standard CIM fields (such as user, src, src_user, etc.) in the detection output. These fields are recognized by the Assets & Identities framework and automatically enrich risk events with relevant context.


NEW QUESTION # 105
Which features of Splunk are crucial for tuning correlation searches? (Choose three)

Answer: A,D,E

Explanation:
Correlation searches are a key component of Splunk Enterprise Security (ES) that help detect and alert on security threats by analyzing machine data across various sources. Proper tuning of these searches is essential to reduce false positives, improve performance, and enhance the accuracy of security detections in a Security Operations Center (SOC).
Crucial Features for Tuning Correlation Searches
1. Using Thresholds and Conditions (A)
Thresholds help control the sensitivity of correlation searches by defining when a condition is met.
Setting appropriate conditions ensures that only relevant events trigger notable events or alerts, reducing noise.
Example:
Instead of alerting on any failed login attempt, a threshold of 5 failed logins within 10 minutes can be set to identify actual brute-force attempts.
2. Reviewing Notable Event Outcomes (B)
Notable events are generated by correlation searches, and reviewing them is critical for fine- tuning. Analysts in the SOC should frequently review false positives, duplicates, and low-priority alerts to refine rules.
Example:
If a correlation search is generating excessive alerts for normal user activity, analysts can modify it to exclude known safe behaviors.
3. Optimizing Search Queries (E)
Efficient Splunk Search Processing Language (SPL) queries are crucial to improving search performance.
Best practices include:
Using index-time fields instead of extracting fields at search time.
Avoiding wildcards and unnecessary joins in searches.
Using tstats instead of regular searches to improve efficiency.
Example:
Using:
| tstats count where index=firewall by src_ip
instead of:
index=firewall | stats count by src_ip
can significantly improve performance.


NEW QUESTION # 106
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