Are you ready to pass the Microsoft DP-100: Designing and Implementing Data Science Solution on Azure certification exam ?

The Azure Data Scientist applies their knowledge of data science and machine learning to implement and run machine learning workloads on Azure in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production.

You will get full explanation with answer and you will achieve best score in your Microsoft DP-100 Exam

Microsoft DP-100 Exam Sample Questions :-

Q-1 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 mean

B. Remove entire column

C. Remove entire row

D. Hot Deck

Q-2 You use Azure Machine Learning Studio to build a machine learning experiment.You need to divide data into two distinct datasets.Which module should you use?

A. Assign Data to Clusters

B. Load Trained Model

C. Partition and Sample

D. Tune Model-Hyperparameters

Q-3 You are a data scientist using Azure Machine Learning Studio.

You need to normalize values to produce an output column into bins to predict a target column.

Solution: Apply a Quantiles normalization with a QuantileIndex normalization. Does the solution meet the goal?

A. Yes

B. No

Q-4 You are evaluating a completed binary classification machine learning model. You need to use the precision as the evaluation metric. Which visualization should you use?

A. Violin plot

B. Gradient descent

C. Box plot

D. Binary classification confusion matrix

This practice test exams will give you full confidence to pass the Microsoft DP-100 Exam.