PMLE Exam Questions

Which of the following statements is true of TensorFlow?

A. TensorFlow is a scalable and single-platform programming interface for implementing and running machine learning algorithms, including convenience wrappers for deep learning.

B. Although able to run on other processing platforms, TensorFlow 2.0 is not yet able to run on Graphical Processing Units (or GPU's).

C. Although able to run on other processing platforms, TensorFlow 2.0 is not yet able to run on Tensor Processing Units (or TPU's).

D. TensorFlow is a scalable and multi-platform programming interface for implementing and running machine learning algorithms, including convenience wrappers for deep learning.

How does TensorFlow represent numeric computations?

A. Using a Directed Acyclic Graph (or DAG)

B. Flow chart

C. Both Using a Directed Acyclic Graph (or DAG) and Flow chart

D. None of the options are correct

Which are useful components when building custom Neural Network models?

A. tf.losses

B. tf.metrics

C. tf.optimizers

D. All of the options are correct.

Which API is used to build performant, complex input pipelines from simple, re-usable pieces that will feed your model's training or evaluation loops.

A. tf. Tensor

B. tf.data.Dataset

C. tf.device

D. All of the options are correct.

What operations can be performed on tensors?

A. They can be reshaped

B. They can be sliced

C. They can be both reshaped and sliced

D. None of the options are correct.