What key considerations should be addressed while selecting data sources for retrieval in a collection system? (Select all that apply)

Question

Options

• AData redundancy elimination
• BData retrieval speed
• CData format compatibility
• DData consistency across sources

• A
  8% (2)
• B
  92% (24)

Explanation

When selecting data sources for retrieval in a collection system, retrieval speed (B) directly impacts system throughput and latency - a slow source becomes a bottleneck regardless of its content quality. Format compatibility (C) is essential because incompatible formats require costly transformation or parsing that can break ingestion pipelines or distort data. Data consistency (D) ensures that values across sources don't contradict each other, which is critical for producing reliable, trustworthy collected datasets.

Option A (data redundancy elimination) is a distractor because redundancy elimination is a post-collection data processing concern - you remove duplicates after ingesting from sources, not as a criterion for which sources to select. Conflating selection with cleanup is a common trap on this topic.

Memory tip: Think "Speed, Shape, Sync" - Can you get it fast enough? Does it fit your format? Does it agree with other sources? If yes to all three, the source is a good candidate.

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