Google Professional Machine Learning Engineer Dumps Questions

More documents

Recommendations

Info

Professional Machine Learning Engineer Dumps3. You are developing an ML model using a dataset with categorical input variables.You have randomly split half of the data into training and test sets. After applyingone-hot encoding on the categorical variables in the training set, you discover thatone categorical variable is missing from the test set.What should you do?A. Randomly redistribute the data, with 70% for the training set and 30% for the testsetB. Use sparse representation in the test setC. Apply one-hot encoding on the categorical variables in the test data.D. Collect more data representing all categoriesAnswer: C
Professional Machine Learning Engineer Dumps4. You are developing an ML model that uses sliced frames from video feed andcreates bounding boxes around specific objects. You want to automate the followingsteps in your training pipeline: ingestion and preprocessing of data in Cloud Storage,followed by training and hyperparameter tuning of the object model using Vertex AIjobs, and finally deploying the model to an endpoint. You want to orchestrate theentire pipeline with minimal cluster management.What approach should you use?A. Use Kubeflow Pipelines on Google Kubernetes Engine.B. Use Vertex AI Pipelines with TensorFlow Extended (TFX) SDK.C. Use Vertex AI Pipelines with Kubeflow Pipelines SDK.D. Use Cloud Composer for the orchestration.Answer: A
Page 1 and 2: Professional MachineLearning Engine
Page 3: Professional Machine Learning Engin
Page 7 and 8: Professional Machine Learning Engin
Page 9 and 10: Professional Machine Learning Engin
Page 11: Professional Machine Learning Engin

Google Professional Machine Learning Engineer Dumps Questions

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?