When working with determinants, always ensure you're familiar with key properties like \( |\text{adj} \, A| = |A|^{n-1} \) and \( |A^{-1}| = \frac{1}{|A|} \). These properties are very helpful when simplifying matrix expressions and solving determinant-related problems. Be cautious with misstatements, such as \( |A| \neq |\text{adj} \, A|^{n-1} \), as they can lead to confusion.
The determinant of the adjugate of a square matrix \( A_{n \times n} \) is \(|\text{adj} \, A| = |A|^{n-1}\).
This property validates option (A).
For the inverse of a matrix, the determinant is \(|A^{-1}| = \frac{1}{|A|}\).
This property validates option (D).
Option (C) is incorrect because the relation \( A (\text{adj} \, A) = |A| I \) is valid but not pertinent to the determinant properties being examined.
Option (B) is incorrect due to the misstatement \( |A| eq |\text{adj} \, A|^{n-1} \), which inverts the correct property.
Therefore, the correct options are (A) and (D).