Consider the following SQL code snippet intended to insert data into a Snowflake table named 'employees'. However, the execution results in a data type mismatch error. Analyze the code and identify th

Question

Options

• AThe 'insert' statement is missing the column names explicitly.
• BThe date format 'YYYY-MM-DD' is incorrect for the 'hire date' column.
• CThe string 'Five Thousand' cannot be implicitly converted to a NUMBER(10,2) for the 'salary'
• DThe 'dept_id' is not a valid integer value.
• EThe semi-colon (;) at the end of the VALUES clause is causing a syntax error.

• A
  5% (2)
• B
  17% (7)
• C
  67% (28)
• D
  2% (1)
• E
  10% (4)

Explanation

Option C is correct because SQL databases, including Snowflake, require that values inserted into a column match (or be implicitly convertible to) the column's defined data type. The string literal 'Five Thousand' is textual data that Snowflake cannot automatically convert to NUMBER(10,2) - the numeric value 5000.00 must be provided instead.

Why the distractors are wrong:

• A - Omitting column names is valid SQL as long as values are provided in the correct order; it does not cause a type mismatch.
• B - YYYY-MM-DD is a standard and accepted date format in Snowflake, so it would not cause an error.
• D - dept_id would only be an issue if its value were non-numeric and the column required an integer; nothing in the question establishes this.
• E - A semicolon terminating a statement is correct SQL syntax and does not cause errors.

Memory tip: Think of it as trying to deposit "Five Thousand dollars" as words into a bank account that only accepts numbers - the system doesn't know what to do with text where a numeric value is expected. Whenever you see a quoted word representing a number in an INSERT statement, flag it as a type mismatch risk.

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