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| Section | Weight | Objectives |
|---|---|---|
| Data Engineering | 10% | - Indexing performance and management - Data ingestion and onboarding - Data parsing, normalization, and CIM alignment |
| Security Operations and Program Development | 20% | - Threat intelligence integration - SOC process design and operational workflows |
| Security Automation (SOAR) | 30% | - Playbook design and automation workflows - Incident response automation and orchestration |
| Detection Engineering | 40% | - Detection enrichment with context and risk-based alerting - Notable event generation and lifecycle management - Creation and tuning of detections (Correlation Searches) |
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質問 # 95
While working with the SOC analysts to review current contextualization processes, a request for automation has been raised by the SOC team. They are asking for a new automation that will check a potentially malicious URL against a remote URL filtering list. Which of the following options will work for them?
正解：D
解説：
Both an Adaptive Response Action and an Input Playbook can support this contextualization requirement, so B is the best answer.
An Adaptive Response Action can be invoked from Enterprise Security when a detection or finding is generated. It can pass a URL or other observable into an integrated action that queries an external reputation, filtering, or analysis service. This works well when contextualization should occur automatically as part of the detection workflow.
An Input Playbook provides another valid implementation. It can receive a URL as structured input from Enterprise Security or Mission Control and then perform the remote lookup through a SOAR asset/API integration. The supplied guide specifically establishes that an Input playbook is the playbook type used when a workflow must be called directly from Mission Control or Enterprise Security. It also demonstrates URL contextualization through REST-based submission to an external analysis service.
Because both mechanisms can perform the requested external URL check, selecting only C or D is unnecessarily restrictive.
Study Guide topics: contextualization, Adaptive Response Actions, Input Playbooks, SOAR integrations, REST APIs, URL enrichment, automated analyst workflows.
質問 # 96
Which of the following macro values will exclude all of the company networks if it is called from the following search?
index=firewall sourcetype=pan:traffic NOT "company_networks"
正解：A
解説：
To exclude all company networks from the search, the macro should negate the source IPs using NOT (src_ip IN (...)). This ensures that any traffic originating from the specified company networks is filtered out of the results.
質問 # 97
Based on the provided screenshot, it ' s discovered that different machines or accounts have been associated with the shown threat objects.
Enterprise Security has identified that these machines and accounts all point back to one owner - Fyodor. Which two frameworks in ES are responsible for programmatically associating this information together?
正解：C
解説：
The correct combination is the Risk Framework and the Assets & Identities Framework .
The Risk Framework is responsible for associating security observations with risk objects , such as users, systems, IP addresses, or other entities. In the exhibit, multiple threat objects are linked to various risk objects, and accumulated activity contributes to the displayed risk score and event count. This allows Enterprise Security to correlate multiple security observations around an entity rather than treating each event independently.
The Assets & Identities Framework provides the enrichment necessary to recognize that different usernames, email addresses, aliases, devices, or accounts can represent the same underlying identity . In the screenshot, several identity aliases are shown as belonging to Fyodor. This framework supplies the contextual relationship that lets Enterprise Security consolidate those identifiers around one owner.
Threat Intelligence can provide malicious indicators, but it does not perform the identity-resolution function described. Incident Review is primarily an analyst workflow interface rather than the framework creating these programmatic entity relationships.
The same Risk Events/Threat Topology scenario is included in the supplied Cybersecurity Defense Engineer material.
Study Guide topics: Risk Framework, Assets & Identities Framework, risk objects, identity aliases, entity enrichment, Threat Topology, Risk-Based Alerting.
質問 # 98
Which Enterprise Security components provide enrichment to the Risk Framework?
正解：D
解説：
The Risk Framework in Enterprise Security is enriched by the Assets & Identities Framework (providing contextual information about users and systems), Risk Factoring (applying multipliers to adjust risk scoring), and Annotations (such as MITRE ATT&CK mappings). These components work together to provide meaningful, prioritized risk findings.
質問 # 99
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?
正解：B
解説：
The "Traffic over time by action" dashboard relies on the Network Traffic data model. For it to populate correctly, the data model must be accelerated, ensuring that the dashboard can pull from the accelerated summaries instead of raw data.
質問 # 100
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