H13-611 practice question 20 of 35

Most of the data generated by the Internet industry is structured data, which accounts for about 80% of the total data.

Full set: 489 questions
Answer options
A: TRUE
B: FALSE
Correct Answer:
FALSE
Explanation

The statement is factually incorrect. The reality is the opposite: the vast majority of data generated, particularly by the Internet industry, is unstructured data. Unstructured data—such as videos, images, audio files, social media posts, and documents—does not have a predefined data model. Industry analysis, as reflected in the HCIA-Storage curriculum, consistently indicates that unstructured data accounts for over 80% of the total data volume and is growing at a significantly faster rate than structured data. Structured data, which is highly organized and fits neatly into relational databases, constitutes a much smaller fraction of today's data landscape.

Why Incorrect

The statement is false because it incorrectly attributes the 80% majority to structured data when this figure actually represents the approximate proportion of unstructured data.

References

1. Huawei HCIA-Storage V5.0 Training Material. In the courseware covering big data fundamentals, it is explicitly stated that data can be classified as structured, semi-structured, and unstructured. The material emphasizes that unstructured data, such as office documents, text, pictures, and videos, accounts for more than 80% of the total data volume. (Reference: HCIA-Storage V5.0 Training Material, Chapter 1: Big Data Technology and Application, Section 1.1.2 Data Types).

2. University Courseware. Reputable university courses on data science and big data corroborate this fact. For instance, materials often cite industry reports (like those from IDC) to illustrate the data landscape. A common teaching point is the "data deluge," which is primarily driven by the exponential growth of unstructured data from sources like IoT, social media, and mobile devices. (Reference: Stanford University, CS246: Mining Massive Data Sets, Lecture notes on Data Models and Data Types).

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