DP-100T01: Designing and Implementing a Data Science Solution on Azure Quiz Questions and Answers

You plan to use a Deep Learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA)computations. You need to configure the DLVM to support CUDA. What should you implement?

Answer :
  • Graphic Processing Unit

You are developing a data science workspace that uses an Azure Machine Learning service. You need to select a compute target to deploy the workspace. What should you use?

Answer :
  • Azure Container Service

You are solving a classification task. The dataset is imbalanced. You need to select an Azure Machine Learning Studio module to improve the classification accuracy. Which module should you use?

Answer :
  • Synthetic Minority Oversampling Technique (SMOTE)

This scaling strategy is the Microsoft Cognitive Toolkit version of how to evaluate the Population Mean and Variance of Batch Normalization which could be used in inference Original Paper.

Answer :
  • Batch

This Sampling mode is used to increase the number of underrepresented cases in a dataset used for Machine Learning.

Answer :
  • SMOTE (Synthetic Minority Oversampling Technique)

You are creating a large Machine Learning model. Which two visualizations can be used to identify outliers in data?

Answer :
  • Box Plot
  • Scatter Plot

Which method requires you to select the column you want to predict and the columns that you want to group into bins in Azure Machine Learning Studio?

Answer :
  • Entropy Minimum Description Length (MDL) binning mode

It is an estimator that measures the average error squares, i.e. the average squared difference between the estimated values and the true value in Python.

Answer :
  • Mean Squared Deviation

Which models do we use to normalize values to produce a feature column grouped into bins?

Answer :
  • Entropy Minimum Description Length (MDL) binning mode

Which index is used in Python to index a list, string, or any other container class in reverse order (from the end)?

Answer :
  • Negative Index