The screenshot below shows all customers whose name begins with B. Complete the missing SQL necessary to product this output. [Fill in the blank]
[Fill in the blank]

Question

The screenshot below shows all customers whose name begins with B. Complete the missing SQL necessary to product this output. [Fill in the blank]
 [Fill in the blank]

BlackTom AI · Accepted Answer

The SELECT list shows all columns from the customers table, so the filter must appear on a WHERE clause using SQL pattern matching to get names that begin with B.

Relevant concepts:
- WHERE: used to filter rows returned by a SELECT.
- LIKE and the % wildcard: LIKE 'B%' matches any string that starts with the letter B followed by zero or more characters. % is a wildcard for any sequence of characters.
- Alternative operators (e.g., =) perform exact matches and won’t match prefixes; other LIKE patterns (e.g., '%B') match suffixes instead of prefixes.

Step-by-step reasoning and SQL:
1) Start with the base query shown: SELECT * FROM customers
2) Add a row filter for customer names beginning with B using WHERE.
3) Use LIKE with a leading literal 'B' and trailing % wildcard to match any characters after the B.

Complete SQL:
SELECT * 
FROM customers 
WHERE customerName LIKE 'B%';

Intermediate explanation: WHERE tells the database to return only rows where the condition is true. customerName LIKE 'B%' evaluates to true for strings such as "Baane Mini Imports", "Blauer See Auto, Co.", "Boards & Toys Co.", etc., because each begins with 'B' and may have any characters after it (the % wildcard).

Why the correct choices are correct:
- WHERE is required to apply the row filter.
- LIKE 'B%' is the correct pattern to match names starting with B.

Why other possibilities would be wrong:
- Using = 'B' would only match names exactly equal to "B".
- LIKE '%B' would match names ending with B, not beginning with B.
- LIKE 'B' (without %) would again require an exact match to "B".
- Using other functions (e.g., substring comparisons) could work but are unnecessarily complex compared to WHERE ... LIKE 'B%'.

Conclusion: The correct blanks are WHERE and LIKE 'B%', which matches the provided answer.

The screenshot below shows all customers whose name begins with B. Complete the missing SQL necessary to product this output. [Fill in the blank] [Fill in the blank] Multiple fill-in-the-blank

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