Online Technical Test
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60 questions
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- Q1Which of the following is a primary function of TensorFlow?To run SQL queries on large databasesTo design user interfaces for web applicationsTo facilitate the creation and training of neural networksTo manage cloud storage services30s
- Q2What is the purpose of TensorFlow's 'tf.data' API?To deploy models to productionTo visualize model architectureTo efficiently load and preprocess data for trainingTo manage user authentication30s
- Q3Which of the following is a benefit of using TensorFlow over other deep learning frameworks?TensorFlow requires no prior knowledge of machine learningTensorFlow provides robust support for distributed computingTensorFlow is only compatible with PythonTensorFlow has a simpler syntax than all other frameworks30s
- Q4What is a Tensor in TensorFlow?A specific type of algorithm for linear regressionAn optimization function for training modelsA multi-dimensional array used to store dataA graphical representation of neural networks30s
- Q5What does the TensorFlow 'Keras' API provide?An environment for compiling Java applicationsA solution for managing databasesA user-friendly interface for building and training modelsA framework for web development30s
- Q6In TensorFlow, what is the purpose of a 'tf.Session'?To execute operations and evaluate tensors in a computation graphTo manage user inputs during model trainingTo visualize training progressTo store model weights and biases30s
- Q7Which of the following functionalities does TensorFlow's 'tf.estimator' API provide?A tool for graphical user interface designA framework for developing mobile applicationsA high-level API for training and evaluating machine learning modelsA method for data encryption30s
- Q8What is the role of the 'tf.keras.layers' module in TensorFlow?To generate user interfacesTo manage data storage efficientlyTo provide various building blocks for constructing neural network architecturesTo optimize training algorithms30s
- Q9What is TensorFlow's 'tf.function' used for?To visualize training dataTo compile Python into C++ codeTo create a callable TensorFlow graph from a Python functionTo handle memory management in TensorFlow30s
- Q10What is the purpose of the 'tf.train' module in TensorFlow?To provide utilities for training machine learning modelsTo interface with external databasesTo manage user authenticationTo handle model visualization30s
- Q11What is the primary purpose of the TensorFlow framework?To create web applicationsTo provide a database management systemTo perform basic data analysisTo facilitate machine learning and deep learning applications30s
- Q12Which of the following is a key feature of TensorFlow?Only compatible with Windows operating systemExclusively used for image processingRequires a proprietary licenseSupport for distributed computing30s
- Q13What is the purpose of a Tensor in TensorFlow?To represent multi-dimensional arraysTo handle network connectionsTo build user interfacesTo create databases30s
- Q14Which component of TensorFlow is primarily used for defining and executing computational graphs?TensorFlow MonitorTensorFlow LoaderTensorFlow GraphsTensorFlow Server30s
- Q15What does the 'tf.keras' module in TensorFlow provide?A library for image editing and manipulationTools for web scraping and data collectionA command-line interface for database managementHigh-level API for building and training neural networks30s