Professional-Machine-Learning-Engineer 문제 21
You trained a text classification model. You have the following SignatureDefs:
What is the correct way to write the predict request?
What is the correct way to write the predict request?
Professional-Machine-Learning-Engineer 문제 22
Your data science team needs to rapidly experiment with various features, model architectures, and hyperparameters. They need to track the accuracy metrics for various experiments and use an API to query the metrics over time. What should they use to track and report their experiments while minimizing manual effort?
Professional-Machine-Learning-Engineer 문제 23
You are building a model to predict daily temperatures. You split the data randomly and then transformed the training and test datasets. Temperature data for model training is uploaded hourly. During testing, your model performed with 97% accuracy; however, after deploying to production, the model's accuracy dropped to 66%. How can you make your production model more accurate?
Professional-Machine-Learning-Engineer 문제 24
You are an ML engineer at a global car manufacturer. You need to build an ML model to predict car sales in different cities around the world. Which features or feature crosses should you use to train city-specific relationships between car type and number of sales?
Professional-Machine-Learning-Engineer 문제 25
A Data Engineer needs to build a model using a dataset containing customer credit card information How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?