Bulk Data Collection Methods and Considerations TIE Practice Questions (Page 7)

Questions 31–35

1. 31application · medium

   A security team is setting up a bulk data collection pipeline that ingests millions of DNS records daily. They need to store and process this data efficiently to support real-time threat detection. Which storage solution is most appropriate for this workload?

   • AAn in-memory cache that stores all DNS records temporarily.
   • BA relational database with strict schema and normalization.
   • CA single on-premises file server storing flat files.
   • DA distributed NoSQL database designed for high-velocity, semi-structured data.
   Reveal Solution Discussion Select an answer first
2. 32foundation · easy

   Why is data quality important in bulk-collected threat intelligence data?

   • AData quality is only a concern for legal compliance, not analysis
   • BData quality only matters for data stored in the cloud
   • CData quality is irrelevant if the volume is large enough
   • DPoor-quality data can lead to inaccurate analysis and false conclusions
   Reveal Solution Discussion Select an answer first
4. 33foundation · easy

   In the threat intelligence lifecycle, where does bulk data collection typically occur?

   • ADuring the requirements phase, before any data is gathered
   • BDuring the dissemination phase, after analysis is complete
   • CDuring the feedback phase, after intelligence is consumed
   • DDuring the collection phase, before processing and analysis
   Reveal Solution Discussion Select an answer first
5. 34foundation · easy

   Which challenge is commonly associated with storing large volumes of bulk-collected data?

   • AAvoiding the use of cloud storage for any data
   • BReducing data volume by deleting all historical data
   • CScalability of storage infrastructure to handle growing data volumes
   • DEnsuring data is stored on floppy disks for security
   Reveal Solution Discussion Select an answer first
6. 35application · medium

   An analyst is collecting threat data from social media to identify emerging malware campaigns. They notice that the data is heavily skewed towards English-language posts. What is the primary concern regarding data quality?

   • AThe data may have a language bias, missing threats discussed in other languages.
   • BThe data is too large to process efficiently.
   • CThe data is not normalized to a common format.
   • DThe data is not from a reliable source.
   Reveal Solution Discussion Select an answer first