PyTorch Certified Associate Practice Questions - PyTorch Certified Associate (PTCA) Exam - PyTorch Certified Associate Practice Questions

Question 1

In PyTorch, which function creates a tensor filled with zeros of shape (2, 3)?

torch.empty(2, 3) torch.ones(2, 3) torch.zeros(2, 3) torch.rand(2, 3)

Correct Answer:

torch.zeros(2, 3)

Question 2

What attribute must a tensor have set to True for autograd to track operations and compute its gradient during backpropagation?

is_leaf requires_grad is_cuda retain_grad

Correct Answer:

requires_grad

Question 3

Which method moves a tensor x onto a CUDA GPU device in a device-agnostic way that also works on CPU-only machines?

x.cuda(force=True) x.gpu() x.device('cuda') x.to(device) where device is set from torch.cuda.is_available()

Correct Answer:

x.to(device) where device is set from torch.cuda.is_available()

Question 4

What does calling .backward() on a scalar loss tensor do?

It updates the model weights using the optimizer It computes the gradients of the loss with respect to all leaf tensors that have requires_grad=True It zeroes out all previously accumulated gradients It performs the forward pass through the network

Correct Answer:

It computes the gradients of the loss with respect to all leaf tensors that have requires_grad=True

Question 5

Which statement about torch.Tensor.view() versus torch.Tensor.reshape() is correct?

view() always copies data while reshape() never copies view() requires the tensor to be contiguous in memory and returns a view sharing storage, while reshape() may return a view or a copy Both always return a copy with independent storage reshape() only works on 1-D tensors

Correct Answer:

view() requires the tensor to be contiguous in memory and returns a view sharing storage, while reshape() may return a view or a copy

Question 1

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Prepare with the PyTorch Certified Associate Practice Questions - PyTorch Certified Associate (PTCA) Exam practice quiz. This question bank includes 100 questions covering tensor, torch, model, shape, and pytorch. Use it to review important concepts, identify knowledge gaps, and build confidence for the related exam, course, or assessment.

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PyTorch Certified Associate Practice Questions - PyTorch Certified Associate (PTCA) Exam

This practice set contains 100 questions from the matching question bank and focuses on tensor, torch, model, shape, and pytorch. Work through each question carefully, review the provided solutions, and revisit topics that need more study before your next attempt.

This is an independent study resource intended for practice and review; it is not an official examination or an endorsement by any organization named in the title.

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PyTorch Certified Associate Practice Questions - PyTorch Certified Associate (PTCA) Exam

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