IPA IP 2021 Question 19
A question IPA Japan published in 令和3年度 ITパスポート試験 公開問題 問19, translated into English. ITPEC is based on the same exams.
Same question on ITPEC: Oct 2024 Q94
Which of the following is the most appropriate description concerning the analysis of big data?
Explanation
Machine learning, in addition to statistical analysis, is effective for forecasting — the only statement that does not wrongly restrict what big data analysis can use.
Big data is characterized by huge volume, a wide variety of forms and high speed of generation. Statistical analysis finds relationships and trends in it, and machine learning learns patterns from large data sets to predict unknown cases; combining the two is a normal approach to forecasting.
Answer (a)
Why not others:
- •(b) — video, images and audio are part of big data's variety and are analyzed with image and speech recognition
- •(c) — human actions are also analyzed from machine-generated data such as sensor, location, IC card and purchase logs, not only from what people post or search
- •(d) — data not created for analysis, such as blog entries, is often analyzed (for example by text mining for customer opinion); what counts is the purpose of the analysis, not why the data was written
Key rule: Big data spans structured and unstructured data from any source; a statement that rules out a data type or source outright is usually wrong.
System Strategy · AI-written, may contain errors
This question comes from the past questions IPA Japan publishes, translated into English by ITPEC Practice. ITPEC Practice is an independent study tool and is not affiliated with IPA or ITPEC. See the original paper (PDF) or Report an issue.