Solution:Step 1: Understand element-wise product and sqrtFirst multiply elements of a and b, then apply square root on the result.Step 2: Check each optionnp.sqrt(np.multiply(a, b)) does np.multiply(a, b) then np.sqrt(), which is correct. Options B and C apply sqrt before multiply, which is differen

[Solved] You have two arrays:a = np.array([1, 2, 3]) b = np.array([4, 5, 6])Which code correctly computes the element-wise product and then applies the square root to each product? | NumPy

NumPy - Array Operations

You have two arrays:

a = np.array([1, 2, 3])
b = np.array([4, 5, 6])

Which code correctly computes the element-wise product and then applies the square root to each product?

Anp.multiply(a, b) + np.sqrt(a)

Bnp.multiply(np.sqrt(a), np.sqrt(b))

Cnp.sqrt(a) * np.sqrt(b)

Dnp.sqrt(np.multiply(a, b))

Step-by-Step Solution

Solution:

Step 1: Understand element-wise product and sqrt
First multiply elements of a and b, then apply square root on the result.
Step 2: Check each option
np.sqrt(np.multiply(a, b)) does np.multiply(a, b) then np.sqrt(), which is correct. Options B and C apply sqrt before multiply, which is different. np.multiply(a, b) + np.sqrt(a) adds sqrt(a), which is incorrect.
Final Answer:
np.sqrt(np.multiply(a, b)) -> Option D
Quick Check:
Multiply then sqrt = np.sqrt(np.multiply(a,b)) [OK]

Quick Trick: Multiply first, then sqrt for correct order [OK]

Common Mistakes:

Applying sqrt before multiplication
Adding instead of multiplying
Mixing order of operations

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You have two arrays:

Step 1: Understand element-wise product and sqrt

Step 2: Check each option

Final Answer:

Quick Check:

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