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| Section | Objectives |
|---|---|
| Data and Evidence Management | - Data model design
|
| Workflow and Rules Engine | - Workflow configuration
|
| Integration and Deployment | - System integration
|
| Cúram Platform Fundamentals | - Development environment setup
|
| Application Development | - Business logic implementation
|
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NEW QUESTION # 165
An analyst is researching potential indicators of compromise (IoCs) on a server and receives the following output:
Which of following best describes the potential IoC?
Answer: B
Explanation:
The connection list shows established outbound connections to unusual or nonstandard ports such as 27656, 3256, 666, and 33000. Communication over unexpected or uncommon ports can indicate suspicious activity, such as malware or command-and-control traffic attempting to bypass normal monitoring and security controls. This pattern is commonly treated as an indicator of compromise involving activity on unexpected ports.
NEW QUESTION # 166
A security analyst analyzes the output of a web application access log for a company based in the United States.
Given the following output:
Which of the following users should be investigated first?
Answer: D
Explanation:
The analyst should prioritize tlindy because the activity associated with that account presents the strongest anomaly in the supplied access-log evidence. Web access-log analysis is fundamentally contextual: an analyst compares source information, request behavior, authentication activity, timestamps, response codes, geographic indicators, user-agent characteristics, and established behavioral expectations to determine which entry warrants immediate investigation.
The fact that the organization is explicitly identified as being based in the United States is an important contextual clue. Geographic or behavioral activity inconsistent with the expected operating profile of an account can raise investigative priority, particularly when combined with unusual authentication or web- request characteristics. Importantly, geographic deviation alone does not prove compromise; VPN services, business travel, cloud infrastructure, and remote-working arrangements can produce legitimate anomalies.
The correct SOC action is therefore investigation rather than immediate attribution.
This question tests the analyst's ability to distinguish normal activity from anomalous activity using log context , rather than simply searching for a particular HTTP status code or username. CySA+ expects analysts to correlate multiple data points before establishing whether activity represents an indicator of compromise.
The uploaded examination material identifies tlindy as the account requiring first investigation.
Study Guide Reference: Security Operations # Log Analysis # Web Application Logs # Behavioral Indicators # Anomaly Detection # User and Entity Context.
NEW QUESTION # 167
A security analyst isolates a Windows 11 workstation from the network after known malware is detected. The list of security information and event management (SIEM) events during the malware installation and timeline does not identify a specific user who was logged in. The security analyst uses the local administrative account to log in and would like a list of logins to the machine.
Which of the following PowerShell commands should the analyst use?
Answer: C
Explanation:
Windows Security Event ID 4624 records a successful logon session. Therefore, querying the Security log for event 4624 provides the analyst with historical evidence of successful logins to the affected workstation.
Get-WinEvent is the appropriate PowerShell cmdlet for retrieving Windows event records. The FilterHashtable parameter allows efficient server-side filtering using attributes such as LogName and ID, rather than retrieving an entire event log and filtering the results afterward. Microsoft specifically documents LogName and ID as valid FilterHashtable keys and recommends this approach for efficient event-log querying.
The command then uses Sort-Object TimeCreated -Descending so the newest login events appear first, and Export-Csv preserves the resulting records for investigation.
Option A does not use the correct PowerShell event-query syntax shown. Options C and D search inappropriate log channels and unrelated event IDs. The evidence needed is authentication history, making the Windows Security log and successful-logon identifier 4624 the correct combination.
Study Guide Reference: Incident Response and Management # Evidence Collection # Windows Event Logs
# PowerShell # Get-WinEvent # Security Event ID 4624 # Timeline Reconstruction.
NEW QUESTION # 168
Which of the following describes the importance of an organization understanding SLOs when outsourcing IR to a third party?
Answer: A
Explanation:
Service Level Objectives (SLOs) define specific performance targets for services provided by a third party, such as incident detection, response, or resolution times. Understanding these objectives allows an organization to measure and track the provider's performance through relevant KPIs and determine whether the outsourced incident response service is meeting expectations.
NEW QUESTION # 169
An analyst must provide a visualization of data received from threat intelligence sources. The data includes the Internet Protocols, services, and tools used by threat actors.
Which of the following is the best framework for the analyst to follow to display this data?
Answer: D
Explanation:
The Diamond Model of Intrusion Analysis is specifically suited to visually representing relationships between a threat actor, the infrastructure used during an intrusion, the actor's capabilities, and the victim. Its four principal vertices are adversary, infrastructure, capability, and victim . IP addresses and network services naturally map to infrastructure, while malware and attack tools map to capability.
The original Diamond Model describes an intrusion event through these four interconnected features and uses their relationships to support documentation, correlation, and analysis of malicious activity. This makes it particularly useful when the analyst wants to visualize intelligence rather than simply place activity into chronological stages.
EPSS predicts the probability that a vulnerability will be exploited and therefore does not model threat-actor infrastructure. The Cyber Kill Chain represents progressive stages of an intrusion, making it useful for understanding attack progression but less suitable for relational visualization. MITRE ATT & CK provides detailed behavioral information on adversary tactics and techniques; MITRE itself notes that ATT & CK and the Diamond Model are complementary, with the Diamond Model particularly useful for clustering and relating intrusion information.
Study Guide Reference: Security Operations # Threat Intelligence # Diamond Model # Adversary # Infrastructure # Capability # Victim # Threat Visualization.
NEW QUESTION # 170
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