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EC-CouncilThreat Intelligence Essentials

Domain 4Objective 3

Bulk Data Collection Methods and Considerations TIE Practice Questions (Page 1)

Part of the Data Collection and Sources domain, which makes up ~13% of our current practice bank.

47questions here
10free pages
7concepts

Questions 1–5

  1. 1application · medium

    A team is building a bulk data collection system that ingests data from multiple sources in different formats (JSON, CSV, XML). They need to combine this data for analysis. What is the primary challenge they must address?

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  2. 2application · medium

    A multinational company is planning to collect threat intelligence from social media platforms and dark web forums to monitor mentions of its brand. The legal team warns that privacy regulations in some operating regions restrict the collection of personal data. Which approach best complies with privacy laws while still gathering useful intelligence?

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  3. 3application · medium

    An analyst needs to collect threat intelligence from a public API that provides a daily dump of malicious IP addresses. The API has a rate limit of 100 requests per minute, and the analyst needs to download millions of records. Which method is most appropriate to collect the data efficiently while respecting the rate limit?

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  4. 4application · medium

    A threat intelligence team collects indicators from a public blocklist that is known to have a high false-positive rate. The team also collects from a commercial feed that is highly accurate but has limited coverage. The team wants to create a combined indicator list for blocking. Which approach best balances false positives and coverage?

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  5. 5application · medium

    A threat intelligence team is integrating bulk data collection into their intelligence lifecycle. They have collected a large dataset of indicators from various sources. According to the intelligence lifecycle, what should they do after processing and analysis?

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