The TensorFlow Developer Certificate validates the ability to build and train deep-learning models with TensorFlow and Keras. The real exam is a hands-on coding test taken in a PyCharm-based plugin; these practice items focus on the underlying concepts.
References you may use
TensorFlow Core and Keras API documentation (tensorflow.org)
DeepLearning.AI TensorFlow Developer Professional Certificate (Coursera)
Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow (Geron)
Topics covered
TensorFlow FundamentalsNeural Networks & Keras APIConvolutional Neural NetworksNatural Language ProcessingSequences & Time SeriesData Pipelines & Preprocessing
⚠️ These are original practice questions modeled on the topics and difficulty of the TensorFlow Developer Certificate, not reproductions of real exam items. The certificate program, tooling, and requirements change over time, so verify current details with TensorFlow / Google before testing.
The timer starts when you begin. You can flag questions and revisit them before submitting.