TensorFlow Practice Test 2026 — Free Questions & Explanations ✅

What is the purpose of TPU?

<label class="wq_answerTxtCtr">For debugging purpose only</label>

<label class="wq_answerTxtCtr">TPU does not exist</label>

<label class="wq_answerTxtCtr">To visualize model</label>

<label class="wq_answerTxtCtr">To accelerate the development</label>

Correct! Wrong!

Explanation:
TPU stands for Tensor Processing Unit, which is an application-specific integrated circuit used to speed up AI calculations and algorithms. For the TensorFlow program, Google developed it specifically for neural network machine learning.

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Which of the following is not a TensorFlow-based product?

<label class="wq_answerTxtCtr">Pandas</label>

<label class="wq_answerTxtCtr">Hand Writing Recognition</label>

<label class="wq_answerTxtCtr">Teachable Machine</label>

<label class="wq_answerTxtCtr">Nsynth</label>

Correct! Wrong!

Explanation:
Pandas is a Python module for data science, data analysis, and machine learning. It's based on Numpy, a multi-dimensional array support package. (Diazepam)

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In TensorFlow, what is the full form of XLA?

<label class="wq_answerTxtCtr">Unknown Linear Algebra</label>

<label class="wq_answerTxtCtr">X Linear Algebra</label>

<label class="wq_answerTxtCtr">Accelerated Linear Algebra</label>

<label class="wq_answerTxtCtr">Xtreme Linear Algebra</label>

Correct! Wrong!

Explanation:
Accelerated Linear Algebra (XLA compiler) is another aspect that makes JAX so quick. Tensorflow has extensively employed XLA, a domain-specific linear algebra compiler.

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What does TPU stand for?

<label class="wq_answerTxtCtr">Truer processing unit</label>

<label class="wq_answerTxtCtr">Tensor processing unit</label>

<label class="wq_answerTxtCtr">Two processing unit</label>

<label class="wq_answerTxtCtr">Test processing unit</label>

Correct! Wrong!

Explanation:
TPU stands for Tensor Processing Unit, which is an application-specific integrated circuit used to speed up AI calculations and algorithms. For the TensorFlow program, Google developed it specifically for neural network machine learning. TensorFlow is a piece of software owned by Google. TPU was first used by Google in 2015, and it was made public in 2018.

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What are the different types of Tensors?

<label class="wq_answerTxtCtr">Place Holder Tensor.</label>

<label class="wq_answerTxtCtr">Variable Tensor</label>

<label class="wq_answerTxtCtr">Constant Tensor</label>

<label class="wq_answerTxtCtr">All of the above</label>

Correct! Wrong!

Explanation:
Tensors are higher-dimensional versions of vectors and matrices. They represent base data-type n-dimensional arrays. A tensor's elements all have the same data type, which is always known. Tensors come in a variety of shapes and sizes, some of which are listed here.
tf.constant
tf.placeholder
tf.SparseTensor
tf.Variable <br? Except for tf.Variable, they're all immutable.

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Tensors were discovered by who?

<label class="wq_answerTxtCtr">Gregorio Ricci-Curbastro</label>

<label class="wq_answerTxtCtr"> Gargi-Curbastro</label>

<label class="wq_answerTxtCtr">Gregorio Ricci-Curbastro and Gargi-Curbastro</label>

<label class="wq_answerTxtCtr">None of the above</label>

Correct! Wrong!

Explanation:
Gregorio Ricci-Curbastro was a mathematician from Italy. He is best known for inventing the tensor calculus.

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In TensorFlow, which of the following dashboards?

<label class="wq_answerTxtCtr">Distributer Dashboard</label>

<label class="wq_answerTxtCtr">Scalar Dashboard</label>

<label class="wq_answerTxtCtr">Histogram Dashboard</label>

<label class="wq_answerTxtCtr">All of the above</label>

Correct! Wrong!

Explanation:
TensorFlow has a large number of dashboards. These are necessary for a variety of tasks, including measurement and visualization as well as hyperparameter tweaking. TensorFlow graphs are visualized using them. Some of them include:
Audio Dashboard
Histogram
Image Dashboard
Distribution Dashboard
Scalar Dashboard

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Which of the following statements about the backpropagation algorithm is correct?

<label class="wq_answerTxtCtr">The error is propagated backwards to determine weight updates</label>

<label class="wq_answerTxtCtr">Also known as generalized delta rule</label>

<label class="wq_answerTxtCtr">No feedback at any stage</label>

<label class="wq_answerTxtCtr">All of the above</label>

Correct! Wrong!

Explanation:
Using a concept known as the delta rule or gradient descent, the Backpropagation algorithm hunts for the least value of the error function in weight space. The weights that minimize the error function are therefore regarded a learning problem solution.

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What are the restrictions of the back propagation rule in general?

<label class="wq_answerTxtCtr">Scaling</label>

<label class="wq_answerTxtCtr">No feedback at any stage</label>

<label class="wq_answerTxtCtr">Retarded convergence</label>

<label class="wq_answerTxtCtr">All of the above</label>

Correct! Wrong!

Explanation:
All of these are limitations of the backpropagation algorithm in general.

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