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| Section | Objectives |
|---|---|
| Topic 1: Identity Protection Tenets | - Identity-based attack mitigation - Identity threat detection concepts - Human vs programmatic identities |
| Topic 2: Falcon Identity Protection Fundamentals | - Platform components and architecture - Identity risk scoring and baseline behavior - Monitoring, enforcing, exploring, configuring functions |
| Topic 3: Zero Trust Architecture | - Zero Trust implementation in Falcon Identity Protection - NIST SP 800-207 principles - Identity-based risk model |
| Topic 4: Policy & Configuration | - Policy rules enforcement - Authentication and MFA integration - Domain and connector configuration |
| Topic 5: Risk Management & Investigation | - Detection and incident response in identity context - User risk assessment - Threat hunting and investigation workflows |
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NEW QUESTION # 20
Which of the following users would most likely have aHIGHrisk score?
Answer: C
Explanation:
Falcon Identity Protection calculates user risk scores based on a combination ofprivilege level,credential exposure, andbehavioral indicators. According to the CCIS curriculum, aprivileged user with a compromised passwordrepresents one of the highest-risk identity scenarios.
Privileged accounts-such as administrators or service accounts with elevated access-already pose increased risk due to their access scope. When Falcon detects that such an account's credentials have been compromised, the risk escalates significantly because attackers can immediately gain high-impact access without further escalation.
The other options do not inherently represent the same level of risk:
* Logging in from a shared endpoint may increase risk but is context-dependent.
* Stale users are risky but typically lower risk than active compromised credentials.
* Domain Admin group membership alone does not imply compromise.
Becausecredential compromise combined with privilegedramatically increases attack potential,Option Bis the correct and verified answer.
NEW QUESTION # 21
Which of the following IDaaS connectors will allow Identity to ingest cloud activity along with applying SSO Policy?
Answer: A
Explanation:
Falcon Identity Protection integrates withIdentity-as-a-Service (IDaaS)providers to ingest cloud authentication activity and enforce identity-based policies. According to the CCIS curriculum,Okta SSOis a supported IDaaS connector that enables Falcon to ingestcloud authentication eventswhile also applying Single Sign-On (SSO) policies.
Okta SSO provides rich identity telemetry, including login attempts, device context, and authentication outcomes. This data allows Falcon Identity Protection to correlate on-premises and cloud-based identity activity, extending identity risk analysis beyond Active Directory.
The other options are incorrect:
* ADFSis an on-premises federation service, not a cloud IDaaS.
* Azure NPSis used for RADIUS-based MFA, not SSO ingestion.
* SAMLis a protocol, not an IDaaS connector.
Because Okta SSO provides both cloud activity ingestion and SSO enforcement,Option Bis the correct and verified answer.
NEW QUESTION # 22
Can a specific detection be excluded altogether or just per entity?
Answer: D
Explanation:
Falcon Identity Protection provides flexible control over how identity-based detections are handled through the Detection Exclusionsframework. According to the CCIS curriculum, administrators can eitherdisable an entire detection typeor, where supported,exclude specific entitiessuch as users, service accounts, or endpoints from triggering that detection.
Not all detections support entity-level exclusions. For detections that do, exclusions allow organizations to suppress known benign behavior without disabling the detection globally. This is particularly useful for service accounts or legacy systems that generate expected but non-malicious activity. When entity-level exclusion is not supported, administrators may choose todisable the detection entirely, which stops it from generating alerts across the environment.
The CCIS documentation clearly explains this dual model:
* All detections can be disabled, regardless of type
* Only some detections support entity-based exclusions
This approach balances operational flexibility with security integrity and avoids the misconception that exclusions automatically create security gaps. Therefore,Option Cis the correct and verified answer.
NEW QUESTION # 23
Which section of the Falcon menu is used to investigate the Event Analysis dashboard?
Answer: C
Explanation:
In Falcon Identity Protection, theExploresection of the Falcon menu is used to investigate analytical views such as theEvent Analysis dashboard. This aligns with the CCIS framework, which defines Explore as the primary area forinteractive investigation, analytics, and risk explorationacross identity data.
The Event Analysis dashboard is designed to help administrators analyzeidentity-related authentication events, behavioral patterns, and anomalous activity derived from domain traffic inspection and domain controller telemetry. These analytical capabilities are intentionally placed underExplorebecause this menu category supports hypothesis-driven investigation rather than enforcement or configuration actions.
By contrast:
* Enforceis used to apply policy rules and automated controls.
* Threat Hunteris focused on proactive hunting using queries and detection pivots.
* Configureis used to manage settings, connectors, policies, and integrations.
The CCIS documentation explicitly associates dashboards such asRisk AnalysisandEvent Analysiswith the Explore menu, emphasizing its role in understandingwhyrisk exists before taking action. Therefore,Option C (Explore)is the correct and verified answer.
NEW QUESTION # 24
When an endpoint that has not been used in the last90 daysbecomes active, a detection forUse of Stale Endpointis reported.
Answer: A
Explanation:
Falcon Identity Protection identifiesstale endpointsas systems that have not authenticated or shown activity for an extended period and then suddenly become active. According to the CCIS curriculum, an endpoint that has been inactive for90 daysand then resumes activity will trigger aUse of Stale Endpointdetection.
This detection is important because attackers frequently exploit dormant or forgotten systems to re-enter environments, evade monitoring, or move laterally. A long period of inactivity followed by sudden authentication activity is considered a strong identity risk signal.
The 90-day threshold is used to establish a reliable inactivity baseline while minimizing false positives.
Shorter timeframes could incorrectly flag normal usage patterns, while longer timeframes could delay detection of genuine threats.
Because Falcon explicitly defines stale endpoint activity using a90-day inactivity window,Option Bis the correct answer.
NEW QUESTION # 25
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