SkillTestPro | CCNP Security 300-710 SNCF Practice Test 30

CCNP Security 300-710 SNCF Practice Test 30 (Hard) - Security Analytics and Logging, Splunk, and AI-driven Threat Intelligence

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1 / 10

Which Cisco cloud-based capability provides scalable, centralized storage and analytics for Secure Firewall event data, often used to extend on-premises FMC event retention and analysis capacity?

Static route tracking

Security Analytics and Logging (SAL)

Identity policy passive authentication

Platform settings SSH access list

NAT policy dynamic PAT pool

QoS traffic policing

2 / 10

Which benefit does cloud-based Security Analytics and Logging provide compared to relying solely on the storage and processing capacity of an on-premises FMC appliance?

It guarantees that no security events will ever occur once enabled

It completely eliminates the need for any on-premises FMC deployment whatsoever

It requires disabling all local event storage on the FMC appliance entirely

It is only compatible with organizations that have no cloud infrastructure at all

Scalable, extended event retention and analytics capacity beyond what local on-premises appliance storage alone can typically provide

It has no impact on event retention capacity compared to on-premises storage alone, regardless of the platform version in use, in a properly maintained environment

3 / 10

Which integration allows Secure Firewall event data to be forwarded to and correlated within a third-party SIEM platform such as Splunk for broader, cross-source security analysis?

Log forwarding/integration (such as via syslog, eStreamer, or a supported Splunk add-on) from FMC or SAL to Splunk

An identity policy realm configuration with no logging or SIEM integration role, which does not align with best practices

A health policy CPU threshold with no logging or SIEM integration role

A platform settings login banner with no logging or SIEM integration role

A QoS traffic class definition with no logging or SIEM integration role

A NAT policy translation rule with no logging or SIEM integration role

4 / 10

Which practical benefit does correlating Secure Firewall event data within a broader SIEM platform like Splunk provide, compared to reviewing Secure Firewall events in isolation within FMC alone?

Splunk correlation has no analytical benefit whatsoever compared to reviewing FMC alone

Splunk correlation requires disabling all Secure Firewall logging within FMC entirely

Splunk correlation only functions when no other data sources are ingested into the platform

Splunk correlation eliminates the need for any FMC-based event review whatsoever going forward, in most deployment scenarios, though this is not generally recommended, though this is not generally recommended

Splunk correlation guarantees that every future security incident will be fully prevented

Security events from Secure Firewall can be correlated with data from other sources (such as endpoint, identity, or application logs) for a more complete cross-domain investigation

5 / 10

Which AI/machine learning-driven capability increasingly supports Cisco security platforms in identifying novel or evolving threats that traditional signature-based detection alone might miss?

A single static signature file that is never updated after initial installation

A physical printed threat report mailed quarterly with no digital integration

A manually maintained spreadsheet of known bad IP addresses updated once a year, in a properly maintained environment, in a properly maintained environment

AI-driven threat intelligence and behavioral/anomaly analysis integrated into Cisco's broader threat intelligence pipeline

A verbal briefing given once per year with no ongoing data feed

A fax-based alert system with no automated correlation capability

6 / 10

Which practical advantage does AI-driven anomaly detection provide when applied to large volumes of Secure Firewall event and telemetry data, compared to purely manual analyst review?

It only functions on data volumes smaller than what a single analyst could review manually anyway, under normal operating conditions, under normal operating conditions, under normal operating conditions

It requires disabling all other detection mechanisms before it can be used

It completely replaces the need for any human security analyst in every scenario

It has no measurable benefit over purely manual review of the same data volume

It guarantees zero false positives in every single detection it generates

It can surface subtle, statistically significant patterns and outliers across large data volumes more efficiently than manual review alone, helping prioritize analyst attention

7 / 10

Which operational consideration is important when integrating Splunk with Secure Firewall event data for an organization with strict data residency or compliance requirements?

Splunk integration is only possible for organizations with no compliance requirements whatsoever

Data residency and compliance requirements are entirely irrelevant to security event log forwarding, which is inconsistent with expected behavior, under normal operating conditions

Compliance considerations only apply once per decade regardless of regulatory changes

Compliance requirements only apply to physical paper records and never to digital security logs

Ensuring the chosen log forwarding and storage architecture (on-premises, cloud, or hybrid) complies with the organization's data residency and regulatory requirements

Data residency only matters for organizations with fewer than ten total employees

8 / 10

Which combination of Security Analytics and Logging and Splunk integration practices would provide the most complete, compliant, and analytically useful security data pipeline for a large enterprise?

Using Splunk alone with no Secure Firewall event data forwarded into it at all

Disabling all logging entirely to simplify the data pipeline architecture

Forwarding all data to Splunk with no consideration of data residency or compliance requirements, based on standard platform behavior, regardless of the platform version in use, which is rarely the correct choice, under typical configuration conditions, though this is not generally recommended

Using only local FMC storage with no cloud-based retention and no SIEM correlation at all

Using Security Analytics and Logging alone with no cross-source SIEM correlation of any kind

Using Security Analytics and Logging for scalable event retention and native Cisco analytics, combined with forwarding relevant data to Splunk for broader cross-source SIEM correlation, all architected to meet data residency and compliance requirements

9 / 10

Which strategic trend do Security Analytics and Logging, Splunk integration, and AI-driven threat intelligence together represent in the evolution of Cisco Secure Firewall's broader security ecosystem?

A shift toward reducing all security telemetry collection to the absolute minimum possible

A shift toward eliminating the need for any human security analyst role in the near future, which is rarely the correct choice, in a properly maintained environment, in accordance with common design practices

A shift with no meaningful relationship to how security operations are actually conducted

A shift toward relying exclusively on physical paper-based security logs

A shift away from any use of network-level firewalls entirely

A shift toward cloud-scale, cross-platform-correlated, and increasingly automated/intelligent security analytics beyond what a single on-premises device or console alone can provide

10 / 10

Which combination of practices would help an organization responsibly adopt AI-driven threat intelligence capabilities within its Secure Firewall and broader security analytics environment?

Enabling AI-driven capabilities once and never revisiting or validating their ongoing accuracy, which is not the standard approach, which is rarely the correct choice, though this is not generally recommended

Using AI-driven insights only for unrelated non-security business reporting purposes

Disabling all traditional detection mechanisms entirely in favor of AI-only detection

Fully automating every response action based on AI output with no human review of any kind

Ignoring all AI-driven insights entirely and relying solely on manual signature-based review

Using AI-driven insights to prioritize and inform analyst investigation, while maintaining human review for significant response actions and periodically validating the AI capability's accuracy and relevance

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