DP-100 exam

Topic 1, Case Study 1 Overview You are a data scientist in a company that provides data science for professional sporting events. Models will be global and local market data to meet the following business goals: • Understand sentiment of mobile device users at sporting events based on audio from...

HOTSPOT You have a Python data frame named salesData in the following format: The data frame must be unpivoted to a long data format as follows: You need to use the pandas.melt() function in Python to perform the transformation. How should you complete the code segment? To answer, select the...

DRAG DROP You need to modify the inputs for the global penalty event model to address the bias and variance issue. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct...

HOTSPOT You arc I mating a deep learning model to identify cats and dogs. You have 25,000 color images. You must meet the following requirements: • Reduce the number of training epochs. • Reduce the size of the neural network. • Reduce over-fitting of the neural network. You need to...

You are creating a machine learning model. You have a dataset that contains null rows. You need to use the Clean Missing Data module in Azure Machine Learning Studio to identify and resolve the null and missing data in the dataset. Which parameter should you use?A . Replace with meanB...

DRAG DROP You are building an intelligent solution using machine learning models. The environment must support the following requirements: ✑ Data scientists must build notebooks in a cloud environment ✑ Data scientists must use automatic feature engineering and model building in machine learning pipelines. ✑ Notebooks must be deployed to...

You need to implement a feature engineering strategy for the crowd sentiment local models. What should you do?A . Apply an analysis of variance (ANOVA).B . Apply a Pearson correlation coefficient.C . Apply a Spearman correlation coefficient.D . Apply a linear discriminant analysis.View AnswerAnswer: D Explanation: The linear discriminant analysis...

DRAG DROP You are creating an experiment by using Azure Machine Learning Studio. You must divide the data into four subsets for evaluation. There is a high degree of missing values in the data. You must prepare the data for analysis. You need to select appropriate methods for producing the...

You are conducting feature engineering to prepuce data for further analysis. The data includes seasonal patterns on inventory requirements. You need to select the appropriate method to conduct feature engineering on the data. Which method should you use?A . Exponential Smoothing (ETS) function.B . One Class Support Vector Machine moduleC...

DRAG DROP You configure a Deep Learning Virtual Machine for Windows. You need to recommend tools and frameworks to perform the following: ✑ Build deep neural network (DNN) models ✑ Perform interactive data exploration and visualization Which tools and frameworks should you recommend? To answer, drag the appropriate tools to...