Which activity best exemplifies using feedback to improve threat intelligence data collection?

Deleting historical threat data to reduce storage costs

Purchasing a new commercial threat feed because it is popular in the industry

Reviewing past intelligence reports with stakeholders to identify missing data sources

Increasing the frequency of data collection from all sources

Which of the following is a key benefit of using automation and orchestration in threat intelligence data collection?

It guarantees that all collected data is free from false positives

It reduces the time and effort required to collect data from multiple sources

It eliminates the need for data validation and quality checks

It removes the need for human oversight of the collection process

A security team wants to collect and correlate log data from various systems to detect anomalies. They have access to application logs, database logs, and authentication logs. Which approach would best support the detection of unauthorized access?

Review each log source separately on a weekly basis.

Use a vulnerability scanner to identify misconfigurations in the log systems.

Enable verbose logging on all systems and store logs for one year.

Aggregate all logs into a SIEM and create correlation rules to detect patterns like multiple failed logins followed by success.

What is the primary focus of signals intelligence (SIGINT)?

Gathering information from human sources

Intercepting and analyzing electronic signals and communications

Collecting data from publicly available sources

EC-CouncilCertified Threat Intelligence Analyst (CTIA)

Domain 4Objective 1

Threat Intelligence Data Collection CTIA Practice Questions (Page 19)

Part of the Data Collection and Processing domain, which makes up ~29% of our current practice bank. EC-Council does not publish an official question count, but from its 120-minute exam (~50–80 total, ~15–23 in this domain), expect 8–12 from this objective — we provide 175 practice questions to prepare you well beyond it. (estimate)

175questions here

35free pages

62concepts

62 Concepts in This Objective

Threat Intelligence Data Collection Overview
Data Collection Planning
Automated Data Collection Tools
Manual Data Collection Techniques
Data Source Validation
Data Collection from Open Sources
Data Collection from Technical Sources
Data Collection from Human Sources
Data Collection from Internal Sources
Data Collection from External Sources
Data Collection from Dark Web and Deep Web
Data Collection from Social Media and Forums
Data Collection from Malware Analysis
Data Collection from Network Traffic
Data Collection from Logs and Events
Data Collection from Threat Intelligence Platforms
Data Collection from Honeypots and Honeynets
Data Collection from Sandboxing
Data Collection from OSINT Tools
Data Collection from HUMINT
Data Collection from SIGINT
Data Collection from Cyber Threat Intelligence Feeds
Data Collection from Government and Law Enforcement Sources
Data Collection from Industry-Specific Sources
Data Collection from Academic and Research Sources
Data Collection from Vulnerability Databases
Data Collection from Incident Response Reports
Data Collection from Threat Actor Communication
Data Collection from Geolocation and IP Intelligence
Data Collection from DNS and Domain Intelligence
Data Collection from File and Hash Intelligence
Data Collection from Email and Phishing Analysis
Data Collection from Web and URL Analysis
Data Collection from Social Engineering Intelligence
Data Collection from Physical Security Sources
Data Collection from Supply Chain Sources
Data Collection from Insider Threat Sources
Data Collection from Threat Modeling
Data Collection from Cyber Kill Chain and MITRE ATT&CK
Data Collection from Threat Hunting
Data Collection from Deception Technologies
Data Collection from Cloud and Virtual Environments
Data Collection from IoT and OT Sources
Data Collection from Mobile and Endpoint Sources
Data Collection from Application and Database Logs
Data Collection from Authentication and Access Logs
Data Collection from Firewall and IDS/IPS Logs
Data Collection from Proxy and Web Filter Logs
Data Collection from Email Gateway Logs
Data Collection from Endpoint Detection and Response (EDR)
Data Collection from Security Information and Event Management (SIEM)
Data Collection from Threat Intelligence Sharing Platforms
Data Collection from Legal and Regulatory Sources
Data Collection from Ethical and Privacy Considerations
Data Collection from Data Quality and Relevance
Data Collection from Data Normalization and Standardization
Data Collection from Data Storage and Management
Data Collection from Data Retention and Disposal
Data Collection from Automation and Orchestration
Data Collection from Integration with Existing Security Tools
Data Collection from Continuous Monitoring
Data Collection from Feedback and Improvement

Questions 91–95

91foundation · easy
Which activity best exemplifies using feedback to improve threat intelligence data collection?
Select an answer first
92foundation · easy
Which of the following is a key benefit of using automation and orchestration in threat intelligence data collection?
Select an answer first
93foundation · easy
Which physical security data source would a threat intelligence analyst most likely use to correlate a physical security breach with a subsequent cyber intrusion?
Select an answer first
94application · medium
A security team wants to collect and correlate log data from various systems to detect anomalies. They have access to application logs, database logs, and authentication logs. Which approach would best support the detection of unauthorized access?
Select an answer first
95foundation · easy
What is the primary focus of signals intelligence (SIGINT)?
Select an answer first

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