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CCFR-201 CrowdStrike Practice Test Questions and Exam Dumps
Question No 1:
In a vSphere environment managed by VMware Aria Operations for Logs (formerly vRealize Log Insight), Reduced Functionality Mode occurs when a host is not properly licensed or its license has expired. When troubleshooting or auditing such hosts,
Which section of the Aria Operations for Logs interface allows you to accurately locate and identify hosts currently in Reduced Functionality Mode?
A. Event Search
B. Executive Summary Dashboard
C. Host Search
D. Installation Tokens
Correct Answer: C. Host Search
Explanation:
Reduced Functionality Mode (RFM) in VMware environments indicates that a host is running with limited features due to licensing issues—typically an expired or invalid license. In VMware Aria Operations for Logs, it's essential to identify these hosts promptly to restore full functionality, ensure compliance, and maintain optimal performance.
The Host Search interface is the correct and most efficient tool to locate these hosts. This view provides detailed insights into the status and licensing state of all connected hosts. You can search and filter by various criteria, including license state, allowing administrators to quickly identify any hosts in Reduced Functionality Mode.
Other options, such as the Event Search, primarily focus on searching through logs and events, which may not directly present a summarized licensing status. The Executive Summary Dashboard gives a high-level overview of environment health but does not provide granular details on individual host licensing states. Similarly, the Installation Tokens section is related to license assignment and activation but doesn’t provide a direct method to view the current status of hosts.
By utilizing the Host Search functionality, administrators gain immediate visibility into which hosts are not functioning with full capability, allowing them to take corrective action—such as updating the license or contacting VMware support. Ensuring all hosts operate with valid licenses is not only crucial for performance but also for compliance with VMware's licensing terms.
Question No 2:
When analyzing the Host Timeline in a security operations platform, security analysts often need to narrow down event data to focus their investigation.
Which of the following filtering options is available within the Host Timeline feature to assist in this process?
Options:
A. Severity
B. Event Types
C. User Name
D. Detection ID
Correct Answer: B. Event Types
Explanation:
The Host Timeline is a crucial feature within many Endpoint Detection and Response (EDR) platforms and Security Information and Event Management (SIEM) tools. It provides a chronological view of events associated with a specific host, helping security analysts trace suspicious activities and understand the sequence of events that led to a potential security incident.
To make the investigation process more efficient, the Host Timeline includes several filters that allow analysts to refine the data and focus on specific types of information. Among the commonly available filters is "Event Types", which enables the analyst to view only particular kinds of events—such as process creations, network connections, file modifications, or registry changes. This filtering helps in isolating relevant data points without the noise of unrelated logs, significantly speeding up root cause analysis.
While Severity, User Name, and Detection ID may be available as filters in other views or tools, they are not always standard filtering options within the Host Timeline specifically. Severity typically pertains to alerts or detections, User Name may relate to identity views or correlation tools, and Detection ID is often used in the context of specific detections rather than event timelines.
By filtering the timeline based on Event Types, analysts can efficiently investigate abnormal behaviors, identify attack patterns such as lateral movement or privilege escalation, and reconstruct an attacker’s steps. This capability is especially important in modern threat detection, where attackers often try to blend into normal system activities. The ability to isolate key event types allows for targeted threat hunting and accurate incident response.
Understanding and using the correct filters in Host Timeline not only enhances visibility but also improves the accuracy and speed of threat detection and forensic investigations.
Question No 3:
In the context of analyzing DNSRequest events in system monitoring or threat detection logs, which specific field is used to accurately associate the DNSRequest event with the originating process responsible for generating the request?
A. Both ContextProcessId_decimal and ParentProcessId_decimal fields
B. ParentProcessId_decimal field
C. ContextProcessId_decimal field
D. TargetProcessId_decimal field
In cybersecurity and system monitoring, particularly when working with event telemetry like Windows DNSRequest logs (often analyzed using platforms like Microsoft Defender for Endpoint or Sysmon), understanding which process initiated a DNS query is essential for detecting potential threats such as malware communication or suspicious network activity.
The DNSRequest event type typically captures DNS resolution attempts made by the system. To determine the exact process that initiated the DNS request, the event log includes several fields, among which the most critical for attribution is the ContextProcessId_decimal.
The ContextProcessId_decimal uniquely identifies the process ID (PID) of the process that generated the DNS request at the time of the event. This field is used to link the event back to the process responsible for the action. It is not just the current or running PID—it represents the actual context in which the DNS request was issued.
Other fields, such as ParentProcessId_decimal, may indicate the parent process of the initiating process, which can help trace process lineage but does not directly identify the originator of the DNS request. Similarly, TargetProcessId_decimal is not typically used in DNSRequest events and is more relevant in process interaction or injection scenarios.
Thus, during threat hunting or forensic analysis, using the ContextProcessId_decimal allows security analysts to correlate DNS activity with specific processes, enabling accurate detection of malicious behaviors, such as command and control communications initiated by suspicious binaries.
Question No 4:
What is the primary purpose of the MITRE ATT&CK Framework, and what type of cybersecurity information does it offer to security professionals?
A. It outlines best practices for various cybersecurity areas, such as Identity and Access Management.
B. It offers a sequential strategy for responding to cyber incidents.
C. It details the stages of an adversary's attack lifecycle, the platforms targeted, and specific tactics, techniques, and procedures (TTPs) used.
D. It is a tool that assigns specific cyber attack techniques to known threat actors.
C. It details the stages of an adversary's attack lifecycle, the platforms targeted, and specific tactics, techniques, and procedures (TTPs) used.
The MITRE ATT&CK Framework (Adversarial Tactics, Techniques, and Common Knowledge) is a globally recognized knowledge base developed by MITRE Corporation. It provides comprehensive information about adversary behaviors based on real-world observations, making it a powerful resource for cybersecurity professionals to better understand how attackers operate.
The framework is organized around the cyberattack lifecycle, breaking it down into various tactics (the attacker’s goals, such as initial access or privilege escalation), techniques (how those goals are achieved), and sometimes sub-techniques (more granular descriptions of an action). For each technique, MITRE also provides known examples, detection suggestions, mitigations, and references to real-world threat actors who have employed them.
MITRE ATT&CK covers multiple platforms such as Windows, macOS, Linux, cloud environments, mobile, and more, which makes it versatile across various organizational environments. This comprehensive mapping allows security teams to assess and enhance their defenses by identifying coverage gaps and improving threat detection capabilities.
Unlike general cybersecurity frameworks or incident response guides, ATT&CK does not focus on best practices or prescribe incident response steps. Nor does it directly attribute attacks to specific threat actors, though it may include known actor behaviors. Instead, it provides a living repository of adversary behavior that supports threat modeling, defensive architecture design, threat intelligence analysis, and red/blue team exercises.
By using the MITRE ATT&CK Framework, organizations can better align their cybersecurity strategies with real-world threats, strengthening both their proactive and reactive security postures.
Question No 5:
Within the MITRE ATT&CK Framework, under the tactic "Persistence" and the technique "Create Account," how should the activity "Keep Access > Persistence > Create Account" be correctly interpreted?
A. An adversary is trying to maintain access through persistence by creating a new account.
B. An adversary is trying to maintain access through persistence by using browser extensions.
C. An adversary is trying to maintain access through persistence by utilizing external remote services.
D. An adversary is trying to maintain access through persistence by using application skimming.
Answer: A. An adversary is trying to maintain access through persistence by creating a new account.
Explanation:
The MITRE ATT&CK Framework is a comprehensive knowledge base used to understand and document adversary behaviors across different stages of an attack. In the context of the technique “Create Account” under the "Persistence" tactic, the goal is to maintain access to a system or network by creating a new account, which can be used to re-enter the system even if other access methods are detected or removed.
Option A accurately represents the scenario where an adversary is leveraging the technique of "Create Account" to ensure they can continue accessing a compromised system. By creating a new account, they can avoid detection by system administrators and maintain access in the long term. This could involve creating an account with administrative privileges or leveraging local user accounts that are less likely to be scrutinized or disabled during incident response efforts.
Option B is incorrect because browser extensions are typically used for other purposes, such as information collection or credential dumping, not for creating new user accounts as a means of maintaining access.
Option C is misleading because "external remote services" often refer to the use of command-and-control servers, VPNs, or other infrastructure for maintaining access, which is a different category of persistence technique.
Option D refers to application skimming, a technique used to collect sensitive information, particularly credit card data, but this is not related to maintaining access through account creation.
Thus, the correct interpretation of "Keep Access > Persistence > Create Account" is A, where the adversary uses the creation of a new account as a method of persisting within the target environment.
Question No 6:
When configuring and applying an IOA (Indicators of Attack) exclusion, what is the effect on the host system and the information displayed in the console?
A. The process specified is not sent to the Falcon Sandbox for analysis.
B. The associated detection will be suppressed, and the associated process will be allowed to run.
C. The sensor will stop sending events from the process specified in the regex pattern.
D. The associated IOA will still generate a detection, but the associated process will be allowed to run.
Answer: B. The associated detection will be suppressed, and the associated process will be allowed to run.
An IOA Exclusion is a configuration in endpoint security solutions like CrowdStrike Falcon, where specific Indicators of Attack (IOAs) are excluded from detection. When IOAs are excluded, the sensor on the host will no longer trigger an alert for the specific behavior or process that matches the exclusion criteria. This can be particularly useful in scenarios where known false positives or benign behaviors might otherwise trigger unnecessary alerts.
When an exclusion is applied, the detection associated with that IOA is suppressed, meaning it won’t be displayed in the console, nor will it trigger any alerts. This means that while the underlying attack or suspicious behavior may still be occurring, the system will not raise an alarm for it. Additionally, the associated process is allowed to continue running on the host without being blocked or flagged, which might otherwise be the case if the detection wasn’t excluded.
The key to this mechanism is that the exclusion ensures that legitimate processes, which might be incorrectly flagged as malicious, can run without interruption. However, it’s important to note that the exclusion does not prevent the process from being analyzed by other mechanisms like the Falcon Sandbox (option A is incorrect), nor does it completely stop all monitoring of the process. It only suppresses the detection related to that IOA.
Option C (sensor stopping events) and option D (IOA still generating detections) do not fully describe how exclusions work. When an exclusion is configured, detections related to the IOA will not be logged or displayed, ensuring smoother operations without triggering alerts.
Question No 7:
What are Event Actions in the context of Falcon?
A. Automated searches that allow users to pivot between related events and searches
B. Hyperlinks that can be used to pivot in a Host Search
C. Custom event data queries that are bookmarked by the current Falcon user
D. Raw Falcon event data
Event Actions in Falcon (particularly referring to CrowdStrike Falcon, a leading endpoint protection platform) are crucial features for security analysts and incident responders. These actions allow for a streamlined investigation process by providing an easy way to pivot between related events, search results, and other key data points.
Let's break down each option to explain why A is the correct answer.
Option A: Automated searches that allow users to pivot between related events and searches
Explanation: This is the correct description of Event Actions. In Falcon, Event Actions automate and streamline the investigation process. These actions are essentially predefined search queries or pivot actions that enable security analysts to quickly connect different events that may be related to the same attack or incident. For instance, when an analyst is investigating suspicious activity from a particular host, an Event Action could provide a way to automatically search for related network traffic, authentication logs, or system events, allowing for faster and more comprehensive investigations.
Option B: Hyperlinks that can be used to pivot in a Host Search
Explanation: This is not an accurate description of Event Actions. While Falcon provides pivot functionality in its Host Search, the term “Event Actions” specifically refers to automated queries, not just hyperlinks. Hyperlinks in a search may be part of the tool’s broader investigation workflow, but they do not define Event Actions.
Option C: Custom event data queries that are bookmarked by the current Falcon user
Explanation: While users can create and bookmark custom queries in Falcon, this does not specifically define Event Actions. Event Actions are more about automated responses to specific event conditions and searches, not just bookmarked user queries.
Option D: Raw Falcon event data
Explanation: Raw event data refers to the unprocessed logs or data points Falcon collects from endpoints or network activity. Event Actions are not the raw data but rather a means to interact with and analyze this data.
In summary, Event Actions in Falcon provide automated ways to pivot between related security events, allowing users to conduct faster and more efficient investigations. By automating searches and providing quick connections between related data, Falcon enhances incident response and security operations.
Question No 8:
Where are quarantined files typically stored on Windows hosts when using CrowdStrike security software?
A. C:\Windows\Quarantine
B. C:\Windows\System32\Drivers\CrowdStrike\Quarantine
C. C:\Windows\System32\
D. C:\Windows\Temp\Drivers\CrowdStrike\Quarantine
Answer: B. C:\Windows\System32\Drivers\CrowdStrike\Quarantine
Explanation:
In the context of Windows operating systems, when CrowdStrike security software detects malicious or suspicious files, these files are moved into quarantine to prevent potential harm to the system. Quarantining is an essential part of endpoint security, as it isolates potentially harmful files and prevents them from executing or spreading across the system until they can be thoroughly analyzed.
Among the options provided, the correct path where quarantined files are stored in a typical Windows environment with CrowdStrike is C:\Windows\System32\Drivers\CrowdStrike\Quarantine. This directory is specifically dedicated to storing files that have been flagged as potentially malicious by the CrowdStrike Falcon endpoint protection software.
Here’s how the other options compare:
A. C:\Windows\Quarantine: While this might seem like a plausible location for quarantined files, it is not typically where CrowdStrike places its quarantined files. This directory is not specifically designated by CrowdStrike for quarantine storage.
**C. C:\Windows\System32**: This is a core system directory in Windows, but it doesn’t contain quarantined files. CrowdStrike uses subdirectories under this folder, but not directly within System32.
D. C:\Windows\Temp\Drivers\CrowdStrike\Quarantine: The Temp directory is used for temporary files, not for storing quarantined files. This path would not be used by CrowdStrike for quarantining files.
By using the CrowdStrike\Quarantine subdirectory, the software ensures that the quarantined files are stored in a secure, protected area within the system, separate from the system’s core files, thereby reducing the risk of accidental or malicious modification or execution.
Question No 9:
In the context of CrowdStrike’s cloud data retention policies, how long does detection data remain stored in the CrowdStrike Cloud before it is purged?
A. 90 Days
B. 45 Days
C. 30 Days
D. 14 Days
Answer: A. 90 Days
Explanation:
CrowdStrike, a leading cybersecurity platform, stores detection data in the cloud to provide real-time threat intelligence and incident response capabilities. The company's cloud-based security solution is designed to offer long-term storage and analysis of detection data, helping security teams monitor, investigate, and mitigate cyber threats more effectively.
Under CrowdStrike's data retention policy, detection data is stored in the cloud for a period of 90 days before it is purged. This means that users can access and analyze the data for up to 90 days after it has been collected, enabling security teams to review historical security events and trends. This retention period strikes a balance between ensuring the availability of valuable threat data for investigation and compliance while not keeping outdated information for an excessive period.
After the 90-day period, the detection data is purged to optimize the performance of the platform and to ensure the system's data storage capacity is not overwhelmed. This deletion process helps maintain efficiency while ensuring that the most relevant and recent detection data is accessible. It's important to note that the 90-day retention period is a standard policy for many organizations that prioritize cloud-based security, though retention lengths may vary depending on the specific contract or service level agreement (SLA) with CrowdStrike.
For users who need longer access to detection data for compliance or specific analysis purposes, CrowdStrike offers options to extend the retention period, often as part of premium or enterprise-level service packages. This flexibility is critical for organizations that may need to keep logs and threat data for longer than the default period due to industry regulations or internal policies.
By setting clear retention policies, CrowdStrike ensures that organizations can both benefit from effective threat detection and maintain the performance of their cloud-based security platform.
Question No 10:
What is one of the key advantages of using a Process Timeline in system analysis?
Options:
A. Process-related events can be filtered to display specific event types
B. Suspicious processes are color-coded based on their frequency and legitimacy over time
C. Processes responsible for spikes in CPU performance are displayed over time
D. A visual representation of Parent-Child and Sibling process relationships is provided
A Process Timeline is a valuable tool in system performance monitoring and analysis. It offers a dynamic, visual representation of the various processes that are running on a computer or network system, and one of its most important advantages is its ability to represent the relationships between processes. Specifically, it provides a visual layout of Parent-Child and Sibling process relationships, which is essential for understanding the hierarchical structure of processes and how they interact over time.
Parent-Child Process Relationships:
A Parent-Child relationship occurs when one process (the parent) creates or spawns another process (the child). The timeline helps visualize this relationship, showing how processes are spawned from others and what processes are dependent on one another. This visualization is crucial for tracking the flow of execution in complex systems where processes might trigger others or share resources.
Sibling Process Relationships:
Processes that are at the same level in the hierarchy (i.e., sharing the same parent process) are called sibling processes. A process timeline allows you to see these relationships clearly, which can be useful for troubleshooting scenarios where multiple processes interact, potentially causing resource contention or performance issues.
Utility in Troubleshooting and Performance Monitoring:
Understanding the parent-child relationships helps administrators track how processes are initiated and whether certain processes are behaving as expected. For instance, if a parent process spawns an unusually high number of child processes, this could signal a potential issue like a runaway process or malware activity. Similarly, observing sibling processes can reveal conflicting processes or unoptimized resource usage.
In summary, the visual representation of Parent-Child and Sibling process relationships provided by a Process Timeline offers invaluable insights into system operations, helping identify inefficiencies, errors, and unusual behaviours in a system’s process flow. This capability is critical for both system administrators and cybersecurity professionals.
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