SPLK-5002測試題庫，SPLK-5002題庫更新資訊

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Splunk SPLK-5002 考試大綱：

主題	簡介
主題 1	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.
主題 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.
主題 3	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.
主題 4	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.
主題 5	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.

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最新的 Cybersecurity Defense Analyst SPLK-5002 免費考試真題 (Q83-Q88):

問題 #83
When developing security metrics, why would a Key Performance Indicator (KPI) that focuses on total perimeter firewall blocks be an ineffective metric?

A. Perimeter firewalls should be measured on both the number of connections that they permit as well as the number they block.
B. Perimeter firewalls are exposed on the internet directly and thus subject to automated scanners and attack tools.
C. The metric is too high level, it should be broken down by the type of block. For example, blocks of remote systems that have repeated failed connections to services that do not exist.
D. This a Key Result Indicator, not a KPI. It is a metric that is measuring the results of the perimeter firewall's actions, not the performance of the firewall.

答案：B

解題說明：
A KPI based on total perimeter firewall blocks is ineffective because perimeter firewalls are constantly exposed to the internet and subject to automated scans and attack tools, which can generate very high block counts. This inflates the metric with noise, making it a poor indicator of actual security performance or risk reduction.

問題 #84
An engineer has been asked to build a new dashboard after an increase in login failures across the organization ' s Microsoft Azure domain. They need to construct a search to only display failed logins for their Azure Active Directory users and create a visualization that will help quickly identify failed logins that originate outside of North America. Which search and visualization type combination will achieve this?

A. Azure sign-in search using the alternative failure/geographic combination shown as a Choropleth Map
B. Azure sign-in search using the alternative geographic visualization shown as a Choropleth Map
C. Azure AD failed-login search using geographic coordinates with a Cluster Map
D. Azure sign-in search/visualization combination using a Cluster Map but not the required failed-login condition

答案：C

解題說明：
The required combination must satisfy two independent requirements : restrict the dataset to failed Azure Active Directory authentication activity and represent the origin of those events geographically. Option D provides that combination by selecting the failure-oriented Azure AD sign-in data and using geographic- coordinate information with a Cluster Map .
A geographic cluster visualization is appropriate when individual events contain point locations such as latitude and longitude. Multiple sign-in failures originating from the same geographic area can then be grouped visually, making concentrations outside the expected operating region-here, North America- immediately apparent. This is particularly useful for authentication monitoring because a raw table of IP addresses does not provide the same rapid geographic interpretation.
The search must also distinguish failures from successful authentication. Merely plotting all sign-ins would allow large quantities of legitimate activity to obscure the specific anomalous behavior being investigated.
Conversely, choosing an inappropriate geographic visualization for point-coordinate data would not provide the intended presentation.
Study Guide topics: Azure AD authentication data, failed-login filtering, geospatial enrichment, geographic dashboards, Cluster Map visualization, security analytics.

問題 #85
Which fields are used to determine asset priority, when priority is assigned through an asset and identity lookup?

A. user or src_user
B. dest, src, or tag
C. dest, src, or dvc
D. dest_user or src_user

答案：C

解題說明：
When priority is assigned through an asset and identity lookup, the fields dest, src, or dvc are used to determine asset priority. These fields map events to assets, allowing Enterprise Security to apply the appropriate criticality or priority value.

問題 #86
What provides consistency for data mapping applied to data model and saved search exports between Splunk Enterprise Security and Splunk SOAR?

A. Global field aliases
B. Field aliases
C. Field labels
D. Global field mappings

答案：D

解題說明：
Global field mappings provide a consistent mapping layer when data is exported from Enterprise Security data models or saved searches into Splunk SOAR. The objective is to ensure that semantically equivalent values are represented consistently regardless of which detection, search, or data model produced the source event.
This becomes important when SOAR receives security events from multiple searches. One source might expose an endpoint as dest, another as host, and another might use a product-specific field. Consistent global mapping allows downstream SOAR workflows to operate on standardized field semantics instead of requiring every playbook to understand every upstream schema variation.
A field alias is a Splunk knowledge object that can make one indexed or extracted field available under another name during search processing, but that is not the cross-export mapping mechanism requested here.
"Field labels" likewise do not establish the global ES-to-SOAR translation layer. The important clue is the requirement for consistency across both data-model and saved-search exports , which implies a centrally applied mapping configuration.
This design reduces duplicated transformation logic and improves the portability and reliability of automated response workflows.
Study Guide topics: Global field mappings, Enterprise Security-to-SOAR integration, data normalization, event export, automation data consistency.

問題 #87
What external support consideration should an engineer account for if they plan to automate the disabling of a system or user?

A. Communicate the actions to the IT Help Desk.
B. Validate that the system or user is not already disabled.
C. Enable logging on the playbook.
D. Add the " support " tag to the playbook.

答案：A

解題說明：
When automation can disable a user account or system, the engineer should coordinate and communicate that behavior to the IT Help Desk . Such containment actions directly affect users and business services and can immediately generate support calls, login failures, access-loss complaints, or outage reports.
The Help Desk therefore needs to understand what automated security actions may occur, how to recognize them, where to verify that security automation initiated the action, and how to escalate the case appropriately.
Without this coordination, support personnel might unknowingly reverse a legitimate containment action-for example, re-enabling an account that SOAR disabled because of confirmed malicious activity.
Option C is a useful technical guardrail but does not answer the question ' s emphasis on an external support consideration . Playbook logging is important for auditability but does not establish coordination with another operational team. Adding a generic support tag does not provide the necessary organizational process.
The supplied course material supports this broader automation-safety principle through its OODA automation discussion, particularly the requirement to perform checks before consequential automated actions.
Study Guide topics: SOAR automation, containment, cross-functional coordination, Help Desk procedures, automation guardrails, operational support.

問題 #88
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