Why is data relevance a critical factor when collecting threat intelligence data?

Relevant data is always collected from open-source intelligence (OSINT) sources.

Relevant data ensures that the intelligence aligns with the organization's industry, infrastructure, and threat profile.

Relevant data reduces the storage capacity required for the intelligence repository.

Relevant data eliminates the need for human analysis.

What is the purpose of capturing network traffic for threat intelligence?

To identify malicious patterns and extract indicators of compromise

To provide a backup of all organizational data

To replace the need for endpoint security solutions

To ensure compliance with data retention regulations

During the data collection phase of threat intelligence, an analyst receives a suspicious binary file from a sandbox. Which action best describes the purpose of computing a cryptographic hash of this file?

To decompress the file and extract embedded indicators of compromise

To uniquely identify the file and correlate it with known threat indicators

To determine the file's origin by comparing its hash with the vendor's digital signature

To encrypt the file so it can be safely stored in a public repository

Which of the following is an example of an external threat intelligence source?

Your organization's firewall logs

A commercial threat intelligence platform subscription

An incident report from your own CSIRT

Which scenario BEST illustrates the application of data quality principles during threat intelligence collection?

An analyst stores all collected data in a single database to simplify access.

An analyst collects data from multiple sources without verifying the source credibility.

An analyst prioritizes data that is current, accurate, and directly related to the organization's industry.

An analyst uses only automated tools to collect data to reduce manual effort.

EC-CouncilCertified Threat Intelligence Analyst (CTIA)

Domain 4Objective 1

Threat Intelligence Data Collection CTIA Practice Questions (Page 26)

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 126–130

126foundation · easy
Why is data relevance a critical factor when collecting threat intelligence data?
Select an answer first
127foundation · easy
What is the purpose of capturing network traffic for threat intelligence?
Select an answer first
128foundation · easy
During the data collection phase of threat intelligence, an analyst receives a suspicious binary file from a sandbox. Which action best describes the purpose of computing a cryptographic hash of this file?
Select an answer first
129foundation · easy
Which of the following is an example of an external threat intelligence source?
Select an answer first
130foundation · easy
Which scenario BEST illustrates the application of data quality principles during threat intelligence collection?
Select an answer first

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