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Question 1
Which Keras API is the simplest way to build a plain feedforward neural network with a linear stack of layers?
Correct Answer:
tf.keras.Sequential
Question 2
Which layer flattens a multi-dimensional input (e.g., 28x28 image) into a 1D vector before a Dense layer?
Correct Answer:
tf.keras.layers.Flatten
Question 3
Which Keras method trains a model on training data?
Correct Answer:
model.fit()
Question 4
Which loss function is appropriate for multi-class classification with integer labels (e.g., y=3)?
Correct Answer:
sparse_categorical_crossentropy
Question 5
What does this code configure? model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
Correct Answer:
A binary classification model using Adam optimizer tracking accuracy
Question 1
Exam overview

About this Exam

Prepare with the TensorFlow Developer Practice Questions - Google TensorFlow Developer Certificate Exam practice quiz. This question bank includes 100 questions covering model, layer, keras, data, and dense. Use it to review important concepts, identify knowledge gaps, and build confidence for the related exam, course, or assessment.

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TensorFlow Developer Practice Questions - Google TensorFlow Developer Certificate Exam

This practice set contains 100 questions from the matching question bank and focuses on model, layer, keras, data, and dense. 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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