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CrowdStrike IDP Exam Syllabus Topics:

Topic	Details
Topic 1	Falcon Identity Protection Fundamentals: Introduces the four menu categories (monitor, enforce, explore, configure), subscription differences between ITD and ITP, user roles, permissions, and threat mitigation capabilities.
Topic 2	GraphQL API: Covers Identity API documentation, creating API keys, permission levels, pivoting from Threat Hunter to GraphQL, and building queries.
Topic 3	Domain Security Assessment: Focuses on domain risk scores, trends, matrices, severity likelihood consequence factors, risk prioritization, score reduction, and configuring security goals and scopes.
Topic 4	Threat Hunting and Investigation: Focuses on identity-based detections and incidents, investigation pivots, incident trees, detection evolution, filtering, managing exclusions and exceptions, and risk types.
Topic 5	Falcon Fusion SOAR for Identity Protection: Explores SOAR workflow automation including triggers, conditions, actions, creating custom templated scheduled workflows, branching logic, and loops.
Topic 6	User Assessment: Examines user attributes, differences between users endpoints entities, risk baselining, risky account types, elevated privileges, watchlists, and honeytoken accounts.
Topic 7	Configuration and Connectors: Addresses domain controller monitoring, subnet management, risk settings, MFA and IDaaS connectors, authentication traffic inspection, and country-based lists.
Topic 8	Risk Management with Policy Rules: Covers creating and managing policy rules and groups, triggers, conditions, enabling disabling rules, applying changes, and required Falcon roles.
Topic 9	Identity Protection Tenets: Examines Falcon Identity Protection's architecture, domain traffic inspection, EDR complementation, human vulnerability protection, log-free detections, and identity-based attack mitigation.
Topic 10	Zero Trust Architecture: Covers NIST SP 800-207 framework, Zero Trust principles, Falcon's implementation, differences from traditional security models, use cases, and Zero Trust Assessment score calculation.
Topic 11	Risk Assessment: Covers entity risk categorization, risk and event analysis dashboards, filtering, user risk reduction, custom insights versus reports, and export scheduling.

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CrowdStrike Certified Identity Specialist(CCIS) Exam Sample Questions (Q32-Q37):

NEW QUESTION # 32
Falcon Identity Protection monitors network traffic to build user behavioral profiles to help identify unusual user behavior. How can this be beneficial to create a Falcon Fusion workflow?

A. Falcon Fusion is not identity based
B. Falcon Fusion works with your IT policy enforcement through the use of identity and behavioral analytics
C. Falcon Fusion will only send emails to the user
D. Falcon Fusion will only work with certain users

Answer: B

Explanation:
Falcon Identity Protection continuously inspects authentication traffic and network behavior to establish behavioral baselines for users and accounts. These baselines enable the platform to detect deviations that indicate potential compromise, misuse, or insider threat activity. This behavioral intelligence directly enhances the effectiveness ofFalcon Fusion workflows.
Falcon Fusion leveragesidentity and behavioral analyticsas decision points within workflows, allowing automated actions to be triggered when abnormal behavior is detected. For example, a workflow can automatically enforce MFA, notify administrators, isolate risky sessions, or initiate remediation when a user deviates from their established baseline.
The CCIS curriculum highlights that Falcon Fusion is designed tointegrate identity risk signals with IT policy enforcement, enabling Zero Trust-aligned automation. This capability goes far beyond simple notifications and supports coordinated responses across security and IT teams.
Options A, B, and C are incorrect because Falcon Fusion is fully identity-aware, applies broadly across users and entities, and supports a wide range of actions beyond email notifications. Therefore,Option Daccurately describes how behavioral profiling strengthens Falcon Fusion workflows.

NEW QUESTION # 33
Falcon Identity Protection can continuously assess identity events and associate them with potential threats WITHOUTwhich of the following?

A. API-based connectors
B. Machine-learning-powered detection rules
C. The need for string-based queries
D. Ingesting logs

Answer: C

Explanation:
Falcon Identity Protection is architected as alog-free identity security platform, a core tenet emphasized throughout the CCIS curriculum. Unlike traditional SIEM- or log-based solutions, Falcon Identity Protection doesnot require string-based queriesto continuously assess identity events or associate them with threats.
Instead, the platform relies onmachine-learning-powered detection rules,real-time authentication traffic inspection, andAPI-based connectorsto collect and analyze identity telemetry directly from domain controllers and identity providers. This approach eliminates the operational complexity of building, tuning, and maintaining query logic.
String-based queries are commonly associated with legacy log aggregation tools and SIEM platforms, where analysts must manually search logs to identify suspicious behavior. Falcon Identity Protection replaces this model withbehavioral baselining and automated correlation, enabling continuous identity risk assessment without human-driven query execution.
Because Falcon does not require string-based queries to operate,Option Dis the correct and verified answer.

NEW QUESTION # 34
Which of the following statements isNOTtrue as it relates to Identity Events, Detections, and Incidents?

A. Events related to an incident that occur after the incident is marked In Progress will create a new incident
B. A detection can become an element of an incident that preceded it in time
C. Not all events are security events that become elements of detections
D. An event can become an element of a detection that preceded it in time

Answer: A

Explanation:
Falcon Identity Protection follows acorrelation and enrichment modelwhere events, detections, and incidents are dynamically linked over time. According to the CCIS curriculum,events that occur after an incident is marked In Progress do not automatically create a new incident. Instead, related events and detections are typicallyadded to the existing incident, provided they fall within the incident's correlation and suppression window.
This behavior allows Falcon to present asingle evolving incident, showing the full progression of an identity attack rather than fragmenting activity into multiple incidents. Therefore, statementA is not true.
The other statements are correct:
* Detections can be retroactively associated with incidents that occurred earlier if correlation logic determines relevance.
* Events can be linked to detections even if the detection is created after the event occurred.
* Not all events are security-relevant; many remain informational and never become detections.
This adaptive correlation model is a core concept in CCIS training and supports efficient investigation and incident lifecycle management. Hence,Option Ais the correct answer.

NEW QUESTION # 35
Which section of the Falcon menu is used to investigate the Event Analysis dashboard?

A. Explore
B. Enforce
C. Threat Hunter
D. Configure

Answer: A

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 # 36
How long does it typically take Falcon Identity to develop a baseline of a user?

A. Three months
B. One month
C. One week
D. Two weeks

Answer: C

Explanation:
Falcon Identity Protection establishes auser baselineby observing authentication behavior over time, including login frequency, endpoints used, access patterns, and protocol usage. According to the CCIS curriculum, Falcon typically requiresapproximately one weekof consistent activity to develop an initial, reliable baseline for a user.
This baseline allows Falcon to distinguish normal behavior from anomalies and to calculate accurate risk scores. While the baseline continues to mature over time and becomes more precise with additional data, the first usable behavioral model is generally formed within a week.
Longer timeframes such as one or three months are not required to begin detecting abnormal behavior.
Conversely, periods shorter than a week may not provide sufficient behavioral data to accurately model normal usage patterns.
Because Falcon can rapidly establish a functional baseline while continuously refining it,Option C (One week)is the correct and verified answer.

NEW QUESTION # 37
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