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Online Technical Test

Quiz by Asheesh Sharma

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81 questions
Show answers
  • Q1
    What is the primary purpose of TensorFlow?
    To manage databases
    To facilitate machine learning and deep learning development
    To create mobile applications
    To develop web applications
    30s
  • Q2
    Which of the following components is used for building neural networks in TensorFlow?
    Matplotlib
    NumPy
    Pandas
    Keras
    30s
  • Q3
    What is a tensor in TensorFlow?
    A multi-dimensional array
    A type of neural network
    A machine learning algorithm
    A function for data analysis
    30s
  • Q4
    What function is commonly used to optimize the learning process in TensorFlow models?
    Feature Scaling
    Gradient Descent
    Cross-Validation
    Data Augmentation
    30s
  • Q5
    Which method is used to convert a TensorFlow model to a TensorFlow Lite model for mobile devices?
    tf.save_model
    tflite_convert
    tf.export
    tf.keras.models.save_model
    30s
  • Q6
    What does the TensorFlow function 'tf.data' primarily assist with?
    Data input pipeline creation
    Model deployment
    Model serialization
    Hyperparameter tuning
    30s
  • Q7
    What is the purpose of TensorFlow's 'tf.serve'?
    To visualize model architecture
    To preprocess data before training
    To serve machine learning models in production
    To train models offline
    30s
  • Q8
    What type of learning does TensorFlow primarily support through its various functionalities?
    Reinforcement learning only
    Only unsupervised learning
    Only supervised learning
    Supervised and unsupervised learning
    30s
  • Q9
    What is the role of the 'tf.function' decorator in TensorFlow?
    To initialize variables
    To load datasets
    To create a TensorFlow graph from a Python function
    To save models
    30s
  • Q10
    Which function is used to load a saved model back into a TensorFlow program?
    tf.load
    tf.model.load
    tf.keras.model.restore
    tf.keras.models.load_model
    30s
  • Q11
    What is the primary purpose of TensorFlow?
    To design graphics and animations
    To create mobile applications
    To manage databases
    To facilitate machine learning and deep learning
    30s
  • Q12
    Which of the following is a core component of TensorFlow for building neural networks?
    Matrices
    Graphs
    Arrays
    Tensors
    30s
  • Q13
    What does the TensorFlow function 'tf.keras.models.Sequential' create?
    A complex branching architecture
    A custom loss function
    A linear stack of layers
    A data preprocessing pipeline
    30s
  • Q14
    Which command is used to compile a Keras model in TensorFlow?
    model.train()
    model.fit()
    model.evaluate()
    model.compile()
    30s
  • Q15
    What is the purpose of the TensorFlow 'tf.data' API?
    To build efficient input pipelines
    To manage TensorFlow sessions
    To optimize hyperparameters
    To visualize model performance
    30s

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