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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Detection Engineering | 40% | - Creation and tuning of detections (Correlation Searches) - Detection enrichment with context and risk-based alerting - Notable event generation and lifecycle management |
| Topic 2: Data Engineering | 10% | - Data parsing, normalization, and CIM alignment - Data ingestion and onboarding - Indexing performance and management |
| Topic 3: Security Operations and Program Development | 20% | - Threat intelligence integration - SOC process design and operational workflows |
| Topic 4: Security Automation (SOAR) | 30% | - Playbook design and automation workflows - Incident response automation and orchestration |
>> SPLK-5002 Online Prüfung <<
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37. Frage
An engineer receives a report that the "Traffic over time by action" dashboard is not populating. It has been confirmed that the relevant logs are being ingested properly and they are CIM compliant. What other configuration may be missing?
Antwort: D
Begründung:
If the network telemetry is already ingested and correctly mapped to CIM, the remaining configuration relevant to this dashboard is acceleration of the Network Traffic data model . Enterprise Security dashboards and searches can depend on accelerated data models so that large volumes of normalized security telemetry can be queried efficiently.
Data-model acceleration creates summarized structures that commands such as tstats can search much more efficiently than repeatedly scanning underlying raw events. Consequently, a dashboard built against an accelerated CIM data model may fail to provide the expected results when acceleration is disabled, incomplete, or otherwise unavailable even though raw CIM-compliant events exist.
The question specifically concerns traffic over time by action , making the Network Traffic data model the relevant CIM domain. The Performance data model is unrelated, and Network Sessions is not the applicable model identified by the requested network-traffic visualization.
Troubleshooting should therefore follow the data pipeline logically: confirm ingestion, validate sourcetypes and field normalization, validate tags and CIM membership, then verify the required data-model acceleration and summary coverage.
Study Guide topics: Network Traffic data model, CIM, data-model acceleration, tstats, Enterprise Security dashboards, troubleshooting.
38. Frage
An automation engineer for the Wonderland SOC, has configured a new asset and is getting an HTTP 403 response code. Which of the following is the possible cause of this error code?
Antwort: B
Begründung:
An HTTP 403 (Forbidden) response indicates that authentication may be successful, but the credentials do not have sufficient permissions to access the requested resource. In Splunk SOAR asset configuration, this typically means the account used is valid but lacks the required authorization.
39. Frage
A compliance audit reveals gaps in the tracking of privileged account activities.
Howcan the team address this issue?
Antwort: C
Begründung:
Privileged accounts pose ahigh security risk, and tracking their activity iscritical for compliance(e.g.,PCI DSS, NIST, ISO 27001, SOC 2).
#1. Automate Report Generation for Privileged Accounts (A)
Ensurescontinuous monitoringofadmin/root accounts.
Helpsdetect misuse or unauthorized access.
Example:
Splunk Enterprise Security (ES)can generate scheduled reports on:
Failed login attempts by privileged users.
Actions performed using admin credentials.
#Incorrect Answers:
B: Use summary indexes to delete old data# Summary indexes improve performance butdo not help track privileged accounts.
C: Focus only on low-priority account activity# Privileged accountsshould always be high-priority.
D: Exclude privileged accounts from reporting# This wouldviolate compliance requirements.
#Additional Resources:
Splunk Security Monitoring for Privileged Accounts
NIST Access Control Guide
40. Frage
An engineer observes a delay in data being indexed from a remote location. The universal forwarder is configured correctly.
Whatshould they check next?
Antwort: A
Begründung:
If there is a delay in data being indexed from a remote location, even though the Universal Forwarder (UF) is correctly configured, the issue is likely a queue blockage or network latency.
Steps to Diagnose and Fix Forwarder Delays:
Check Forwarder Logs (splunkd.log) for Queue Issues (A)
Look for messages likeTcpOutAutoLoadBalancedorQueue is full.
If queues are full, events are stuck at the forwarder and not reaching the indexer.
Monitor Forwarder Health Usingmetrics.log
Useindex=_internal source=*metrics.log* group=queueto check queue performance.
41. Frage
During a ransomware attack, an adversary might add a default user and password in registry, modify the wallpaper, and create bulk ransomware notes across multiple machines. What is Splunk ' s method for grouping these types of detections together?
Antwort: B
Begründung:
Splunk uses Analytic Stories to organize related detections around a common threat scenario, adversary behavior, or security use case. Ransomware is an ideal example because no single detection fully characterizes the attack. Instead, defenders may observe multiple behaviors representing different stages or consequences of the intrusion.
One analytic could detect registry modifications associated with persistence or configuration changes.
Another could identify mass creation of ransom-note files. A separate detection could monitor wallpaper modification or account manipulation. An Analytic Story groups these related analytics into a coherent defensive narrative so engineers and analysts can understand how individual detections collectively provide coverage of the broader threat.
A data model normalizes telemetry and enables consistent searching but does not conceptually group detections by attack scenario. The Threat Intelligence Framework handles indicators and intelligence enrichment, while the Assets & Identities Framework adds contextual information about entities. Neither serves as the security-content grouping mechanism described.
Analytic Stories also help communicate detection coverage, supporting searches, data requirements, and related adversary techniques in a structured way.
Study Guide topics: Analytic Stories, ransomware detection, security-content organization, detection coverage, behavioral analytics, MITRE ATT & CK alignment.
42. Frage
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SPLK-5002 Originale Fragen: https://www.pruefungfrage.de/SPLK-5002-dumps-deutsch.html