You are working with data from several companies to analyze their AI adoption rates and financial performance using Python and NumPy. Here is the code that processes the data:

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Given the code snippet, np$.$argmax is used to identify the company with the highest AI adoption rate. What does np$.$argmax$($ai$\_$adoption$\_$rates$)$ return, and how is it utilized to determine the highest AI adoption company?

Group of answer choices

np$.$argmax$($ai$\_$adoption$\_$rates$)$ provides a Boolean array with True for the highest AI adoption rate and False for others. This Boolean array is used to index the companies array.

np$.$argmax$($ai$\_$adoption$\_$rates$)$ sorts the AI adoption rates in descending order. The index of the first element after sorting gives the company with the highest adoption rate.

np$.$argmax$($ai$\_$adoption$\_$rates$)$ returns the index of the highest AI adoption rate within the array. This index is then used to retrieve the corresponding company name from the companies array.

np$.$argmax$($ai$\_$adoption$\_$rates$)$ returns the maximum value of the AI adoption rates. It is directly used to index the companies array and retrieve the company name.