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| Section | Weight | Objectives |
|---|---|---|
| Security Operations and Program Development | 20% | - SOC process design and operational workflows - Threat intelligence integration |
| Security Automation (SOAR) | 30% | - Incident response automation and orchestration - Playbook design and automation workflows |
| Data Engineering | 10% | - Data ingestion and onboarding - Data parsing, normalization, and CIM alignment - Indexing performance and management |
| Detection Engineering | 40% | - Notable event generation and lifecycle management - Creation and tuning of detections (Correlation Searches) - Detection enrichment with context and risk-based alerting |
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NEW QUESTION # 93
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?
Answer: B
Explanation:
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.
NEW QUESTION # 94
What is a key advantage of using SOAR playbooks in Splunk?
Answer: B
Explanation:
Splunk SOAR (Security Orchestration, Automation, and Response) playbooks help SOC teams automate, orchestrate, and respond to threats faster.
#Key Benefits of SOAR Playbooks
Automates Repetitive Tasks
Reduces manual workload for SOC analysts.
Automates tasks like enriching alerts, blocking IPs, and generating reports.
Orchestrates Multiple Security Tools
Integrates with firewalls, EDR, SIEMs, threat intelligence feeds.
Example: A playbook can automatically enrich an IP address by querying VirusTotal, Splunk, and SIEM logs.
Accelerates Incident Response
Reduces Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR).
Example: A playbook can automatically quarantine compromised endpoints in CrowdStrike after an alert.
#Incorrect Answers:
A: Manually running searches across multiple indexes # SOAR playbooks are about automation, not manual searches.
C: Improving dashboard visualization capabilities # Dashboards are part of SIEM (Splunk ES), not SOAR playbooks.
D: Enhancing data retention policies # Retention is a Splunk Indexing feature, not SOAR-related.
#Additional Resources:
Splunk SOAR Playbook Guide
Automating Threat Response with SOAR
NEW QUESTION # 95
Which of the following is a reason to utilize ES risk framework as a part of detection building?
Answer: A
Explanation:
The Enterprise Security Risk Framework enables detection engineers to express suspicious observations as risk against meaningful entities-typically users, systems, or other risk objects-and then prioritize those observations according to their security significance. Option C therefore represents the principal value being tested: prioritizing findings based on potential business impact .
In a Risk-Based Alerting design, an individual behavior does not necessarily need to generate an analyst- facing finding immediately. Instead, detections can generate risk events containing fields such as the risk object, risk object type, risk score, and contextual annotations. Multiple risk events can accumulate until correlation logic determines that the combined evidence warrants escalation. Risk Factors and asset/identity context can further modify significance when an affected entity is particularly sensitive or critical.
Risk processing is therefore fundamentally about contextual prioritization and evidence aggregation , not search-performance acceleration. It does not inherently create a threat-intelligence feedback loop, nor is its primary purpose to simplify SOAR execution. Those capabilities can interact with risk-based detections but are separate functions.
Study Guide topics: Enterprise Security Risk Framework; Risk-Based Alerting; risk objects; risk scores; business impact; security finding prioritization.
NEW QUESTION # 96
Which configurations are required for data normalization in Splunk?(Choosetwo)
Answer: B,C
Explanation:
Configurations Required for Data Normalization in Splunk
Data normalization ensures consistent field naming and event structuring, especially for Splunk Common Information Model (CIM) compliance.
#1. props.conf (A)
Defines how data is parsed and indexed.
Controls field extractions, event breaking, and timestamp recognition.
Example:
Assigns custom sourcetypes and defines regex-based field extraction.
#2. transforms.conf (B)
Used for data transformation, lookup table mapping, and field aliasing.
Example:
Normalizes firewall logs by renaming src_ip # src to align with CIM.
#Incorrect Answers:
C: savedsearches.conf # Defines scheduled searches, not data normalization.
D: authorize.conf # Manages user permissions, not data normalization.
E: eventtypes.conf # Groups events into categories but doesn't modify data structure.
#Additional Resources:
Splunk Data Normalization Guide
Understanding props.conf and transforms.conf
NEW QUESTION # 97
An engineer has discovered that an acquired company uses a duplicate IP address space. Which feature of the asset and identity framework could be turned on that would allow for the separation of company IP address ranges within a lookup?
Answer: D
Explanation:
Entity Zones are designed to distinguish entities that might otherwise appear identical because they use overlapping or duplicated identifiers, such as the same RFC1918 address ranges in separate business environments. This makes them the appropriate feature when an acquired company uses IP address space that overlaps with the parent organization.
Without zoning, an address such as 10.1.20.15 could ambiguously refer to systems in two different networks.
By associating those assets with separate entity zones , Enterprise Security can preserve distinct lookup and enrichment contexts so that the same IP value can resolve to the correct asset according to its organizational or network boundary.
This is especially important to the Assets and Identities Framework , because asset enrichment affects priority, ownership, risk attribution, and investigation context. Incorrectly merging two assets that share an IP address could cause risk to be assigned to the wrong system or produce misleading identity and asset information.
Entity Definitions describe how entities are identified, while Asset Classes and annotations provide classification or descriptive context; they do not specifically solve overlapping address-space ambiguity.
The supplied PDF covers Assets & Identities, entity enrichment, and risk prioritization, but not this exact Entity Zones stem.
Study Guide topics: Assets & Identities Framework, Entity Zones, overlapping IP space, asset enrichment, entity resolution, risk context.
NEW QUESTION # 98
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