DA0-002 Data Concepts and Environments Practice Question
Exhibit
2023-08-15 14:23:45, ERROR: Invalid JSON: {"user": "John", "age": 30 "country": "USA"}Refer to the exhibit. A data pipeline is failing to parse this log entry. What is the most likely cause of the error?
⚠ Common exam trap
Candidates often assume that missing or inconsistent delimiters cause parsing failures, but in this case, the delimiter is consistent (space). The trap is that they may overlook the need to quote fields containing the delimiter character itself.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Unquoted string for country
The log entry uses space as a delimiter. The country field 'United States' contains a space but is not enclosed in quotes. When parsing, the space within the value is misinterpreted as a delimiter, causing the parser to split the field incorrectly. This results in a parsing failure. The unquoted string containing a space is the most direct cause of the error.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Missing comma between fields
Why it's wrong here
There is no missing comma because the format uses space as delimiter, not comma. The fields are separated by spaces, so a comma is not required.
- ✗
Incorrect data type for age
Why it's wrong here
The data type for age (30) is an integer, which is expected. There is no type mismatch.
- ✗
Extra whitespace
Why it's wrong here
Extra whitespace is not the primary issue; the fundamental problem is the unquoted string with an internal space.
- ✓
Unquoted string for country
Why this is correct
The country value 'United States' contains a space and is not quoted. In a space-delimited file, such values must be quoted to prevent the space from being interpreted as a delimiter. This causes the parser to fail.
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Written by Johnson Ajibi, MSc IT Security
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