Which query finds the ID, Job_Title, and Salary values of all employees in the Engineering Department?

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The correct approach to finding the ID, Job_Title, and Salary values of all employees in the Engineering Department is to use a query that retrieves rows based on their department classification. The third option provides a direct and effective solution to this requirement.

The query that correctly retrieves the desired information specifies the condition to only include employees whose Department matches "Engineering." This means that it directly filters the data from the staff table based on a specific criterion, ensuring that only the relevant employees are selected. By selecting ID, Job_Title, and Salary in this way, the query returns results tailored specifically to the Engineering Department.

In contrast, the other options introduce complexities or incorrect conditions. The first option, while it might seem plausible, utilizes a subquery that checks for IDs in a nested way, which is unnecessarily complicated for this task. Similarly, the second option suggests an approach that only works for a single ID, which would limit the results to one employee only. Lastly, the fourth option attempts to select all rows based on a Job_Title derived from a subquery, which doesn't filter for department-specific criteria but instead relies on job titles that may not be unique or applicable to all Engineering employees.

Therefore, the most efficient and accurate method to achieve the objective is to

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