Question:
Match List - I with List - II.
List - I List - II A. Structured data I. tweet, text documents, videos B. Unstructured data II. sensor reading, temperature logs C. Semi-structured data III. JSON, XML, web log files D. Time-series data IV. Tabular data with defined schema
Choose the correct answer from the options given below:
Match List - I with List - II.
| List - I | List - II | ||
|---|---|---|---|
| A. | Structured data | I. | tweet, text documents, videos |
| B. | Unstructured data | II. | sensor reading, temperature logs |
| C. | Semi-structured data | III. | JSON, XML, web log files |
| D. | Time-series data | IV. | Tabular data with defined schema |
Choose the correct answer from the options given below:
Show Hint
Think of Structured data as a neat spreadsheet, Unstructured as a pile of loose papers, and Semi-structured as documents with sticky notes (tags) helping you find things!
Updated On: Aug 16, 2026
- A-IV, B-I, C-III, D-II
- A-IV, B-III, C-I, D-II
- A-IV, B-II, C-I, D-III
- A-I, B-IV, C-III, D-II
Show Solution
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The Correct Option is A
Solution and Explanation
Concept:
• Data Science classifies data based on its internal organization and the presence of metadata or schemas.
Step 1: Match A (Structured data)
Structured data follows a strict, predefined model and is typically organized into rows and columns in a relational database. This is "Tabular data with defined schema." This matches with IV.
Step 2: Match B (Unstructured data)
Unstructured data has no predefined internal structure. It includes media files and free-form text where information is not easily mapped to tables. Examples: "tweet, text documents, videos." This matches with I.
Step 3: Match C (Semi-structured data)
Semi-structured data contains tags or markers to separate semantic elements but does not follow a strict tabular schema. Examples: "JSON, XML, web log files." This matches with III.
Step 4: Match D (Time-series data)
Time-series data is a sequence of data points indexed in time order, capturing how a variable changes. Examples: "sensor reading, temperature logs." This matches with II.
• Data Science classifies data based on its internal organization and the presence of metadata or schemas.
Step 1: Match A (Structured data)
Structured data follows a strict, predefined model and is typically organized into rows and columns in a relational database. This is "Tabular data with defined schema." This matches with IV.
Step 2: Match B (Unstructured data)
Unstructured data has no predefined internal structure. It includes media files and free-form text where information is not easily mapped to tables. Examples: "tweet, text documents, videos." This matches with I.
Step 3: Match C (Semi-structured data)
Semi-structured data contains tags or markers to separate semantic elements but does not follow a strict tabular schema. Examples: "JSON, XML, web log files." This matches with III.
Step 4: Match D (Time-series data)
Time-series data is a sequence of data points indexed in time order, capturing how a variable changes. Examples: "sensor reading, temperature logs." This matches with II.
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