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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer Exam |
| Exam Number: | SPLK-5002 |
| Available Languages: | English |
| Related Certifications: | Splunk Core Certified Power User Splunk Certified Cybersecurity Defense Analyst |
| Exam Format: | Multiple response, Multiple choice |
| Passing Score: | 700 / 1000 |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 75 minutes |
| Real Exam Qty: | 60 |
| Exam Price: | $130 USD |
| Recommended Training: | Splunk Training & Certification |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | Splunk SPLK-5002 Sample Questions |
| Exam Way: | Online proctored or onsite testing center via Pearson VUE |
| Pre Condition: | Recommended: Splunk Certified Cybersecurity Defense Analyst, or equivalent experience; Splunk Core Certified Power User knowledge |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification/splk-5002-cybersecurity-defense-engineer.html |
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NEW QUESTION # 52
What framework in Enterprise Security allows engineers to build detections using known malicious IOCs, comparing them to event logs to find suspicious behavior?
Answer: B
Explanation:
The Threat Intelligence Framework provides the Enterprise Security capability for managing known indicators of compromise and correlating those indicators with observed event data. It is therefore the framework used when engineers want to compare malicious IOCs against telemetry to identify suspicious activity.
Indicators can represent objects such as IP addresses, domains, URLs, file hashes, certificates, or other observable threat artifacts. Enterprise Security processes and normalizes threat intelligence so that matching logic can compare those intelligence objects against compatible fields contained in security events.
For example, a known malicious domain may be compared against DNS or web telemetry, while a malicious IP address may be compared against network connections. A match can subsequently contribute to a finding, risk event, enrichment workflow, or additional investigation depending on the implemented detection strategy.
The Assets & Identities functionality concerns organizational context around entities rather than IOC matching. Incident management handles investigation and response workflows. OSINT describes a category of intelligence collection but is not the Enterprise Security framework requested.
Study Guide topics: Threat Intelligence Framework; IOCs; threat matching; threat-intelligence normalization; event correlation; indicator-based detection.
NEW QUESTION # 53
Which tool can help provide a baseline of the data sources in a given Splunk environment?
Answer: C
Explanation:
The Enterprise Security Data Library (ESDL) provides a baseline of the data sources available in a Splunk environment. It helps identify which data sources are present, how they map to security use cases, and whether they align with Enterprise Security requirements.
NEW QUESTION # 54
Which of the following should an engineer do as they evaluate their Threat Detection and Incident Response lifecycle?
Answer: D
Explanation:
Threat Detection and Incident Response must be evaluated in the context of the organization ' s business model, operating environment, assets, adversaries, and industry-specific threat landscape . Detection engineering cannot be prioritized effectively using technical indicators alone.
For example, credential-access activity affecting an ordinary laboratory workstation and the same activity affecting a privileged financial system may require substantially different priorities. Similarly, a healthcare organization, financial institution, manufacturer, and cloud provider have different critical systems, regulatory requirements, attack surfaces, and likely adversary objectives.
MITRE ATT & CK provides an excellent taxonomy for adversary tactics and techniques, but ATT & CK itself does not define an organization ' s risk appetite . Risk appetite depends on business governance and tolerance for operational, financial, regulatory, and security impact. Therefore, option B improperly substitutes a threat-behavior framework for a business risk-management decision.
Focusing on the least impactful threat vectors is equally inconsistent with risk-based security engineering.
Effective programs allocate detection and response resources according to realistic threats and organizational consequences.
The question appears in the lifecycle section on page 3 of the supplied material.
Study Guide topics: Threat Detection and Incident Response lifecycle, business context, risk prioritization, threat modeling, MITRE ATT & CK, program maturity.
NEW QUESTION # 55
What is the best method to operationalize the results of a threat hunt for daily use by SOC analysts?
Answer: B
Explanation:
The best way to operationalize the results of a threat hunt is to create detections based on the documented findings. This transforms hunting insights into actionable, repeatable detection logic that SOC analysts can use daily to identify similar threats in real time.
NEW QUESTION # 56
Which fields are used to determine asset priority, when priority is assigned through an asset and identity lookup?
Answer: A
Explanation:
The relevant fields are dest, src, and dvc because these represent asset-oriented entities that can be resolved against asset information in Splunk Enterprise Security. Asset and identity enrichment is intended to add organizational context-including priority-to events based on recognized hosts, devices, and users.
src identifies a source system associated with activity, dest identifies a destination system, and dvc represents a device. When these values resolve to known assets, the associated asset information can provide contextual priority used downstream by security analytics and finding prioritization. This is materially different from user-oriented fields such as user, src_user, or dest_user, which relate to identity resolution rather than asset resolution.
The presence of tag in option B also makes that choice unsuitable: a tag is a classification mechanism and is not one of the asset entity fields used for this lookup relationship.
This illustrates why CIM-aligned field population is important. If asset-identifying data does not populate the expected normalized fields, Enterprise Security may fail to attach the priority and other contextual information expected by downstream detections.
Study Guide topics: Assets and Identities, asset lookup, asset priority, CIM fields, enrichment, src, dest, dvc.
NEW QUESTION # 57
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