An analyst wants to extract data from an invoice file of unique invoice IDs with an invoice amount greater than $1,000. Which combination of Structured Query Language (SQL) statements will perform this task?

Rationale

DISTINCT and WHERE statements

To extract unique invoice IDs with an invoice amount greater than $1,000, the analyst needs to use the WHERE clause to filter the results based on the specified condition and the DISTINCT keyword to ensure that only unique invoice IDs are returned.

A (TRIM and COALESCE statements) YOUR ANSWER

The TRIM function is used to remove whitespace from the beginning and end of strings, while COALESCE returns the first non-null value in a list of arguments. Neither of these functions is suitable for filtering or selecting unique records based on a specified amount condition, making this combination ineffective for the task at hand.

B (LENGTH and TRIM statements) YOUR ANSWER

The LENGTH function measures the length of a string, and TRIM removes whitespace. While these functions can manipulate string data, they do not provide any mechanism for filtering invoices based on amount or for selecting unique IDs. Thus, they are not appropriate for extracting the needed data from the invoice file.

C (DISTINCT and WHERE statements) CORRECT

To achieve the goal of extracting unique invoice IDs with amounts greater than $1,000, the WHERE clause effectively filters the results based on the invoice amount condition, while the DISTINCT keyword ensures that only unique IDs are returned. This combination directly addresses the requirements of the analyst's task.

D (ORDER BY and CONCAT statements) YOUR ANSWER

ORDER BY is used to sort the results of a query, and CONCAT combines multiple strings into one. However, neither function addresses filtering or ensuring uniqueness of the invoice IDs. Therefore, this combination does not fulfill the necessary criteria for the data extraction task.

Conclusion

To successfully extract unique invoice IDs for amounts exceeding $1,000, the appropriate SQL statements are DISTINCT and WHERE. These statements work together to filter and select the required data accurately, while the other options fail to provide the necessary functions for the task. Understanding the correct application of SQL statements is crucial for effective data extraction and manipulation.

An analyst wants to extract data from an invoice file of unique invoice IDs with an invoice amount greater than $1,000. Which combination of Structured Query Language (SQL) statements will perform this task?

DISTINCT and WHERE statements

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