FREE PDF MICROSOFT - THE BEST DP-100 - RELIABLE DESIGNING AND IMPLEMENTING A DATA SCIENCE SOLUTION ON AZURE EXAM QUESTION

Free PDF Microsoft - The Best DP-100 - Reliable Designing and Implementing a Data Science Solution on Azure Exam Question

Free PDF Microsoft - The Best DP-100 - Reliable Designing and Implementing a Data Science Solution on Azure Exam Question

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Microsoft DP-100 exam is focused on designing and implementing a data science solution on Azure. Designing and Implementing a Data Science Solution on Azure certification test is aimed at data professionals who are interested in the design and implementation of data solutions using Microsoft Azure. DP-100 exam validates the skills of the candidate in various areas related to data science, such as data engineering, data analysis, machine learning, and data visualization.

The DP-100 Certification Exam is part of Microsoft's Data and AI Certification track and is a crucial step for data scientists who wish to advance their careers. It covers a range of topics, including data preparation, model training and deployment, and machine learning algorithms. It also requires candidates to have hands-on experience with Azure services such as Azure Machine Learning, Azure Databricks, and Azure SQL Database.

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Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q171-Q176):

NEW QUESTION # 171
You need to implement a feature engineering strategy for the crowd sentiment local models.
What should you do?

  • A. Apply a Pearson correlation coefficient.
  • B. Apply a Spearman correlation coefficient.
  • C. Apply a linear discriminant analysis.
  • D. Apply an analysis of variance (ANOVA).

Answer: C

Explanation:
The linear discriminant analysis method works only on continuous variables, not categorical or ordinal variables.
Linear discriminant analysis is similar to analysis of variance (ANOVA) in that it works by comparing the means of the variables.
Scenario:
Data scientists must build notebooks in a local environment using automatic feature engineering and model building in machine learning pipelines.
Experiments for local crowd sentiment models must combine local penalty detection data.
All shared features for local models are continuous variables.
Incorrect Answers:
B: The Pearson correlation coefficient, sometimes called Pearson's R test, is a statistical value that measures the linear relationship between two variables. By examining the coefficient values, you can infer something about the strength of the relationship between the two variables, and whether they are positively correlated or negatively correlated.
C: Spearman's correlation coefficient is designed for use with non-parametric and non-normally distributed data. Spearman's coefficient is a nonparametric measure of statistical dependence between two variables, and is sometimes denoted by the Greek letter rho. The Spearman's coefficient expresses the degree to which two variables are monotonically related. It is also called Spearman rank correlation, because it can be used with ordinal variables.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/fisher-linear-discriminant-analysis
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/compute-linear-correlation


NEW QUESTION # 172
You create a script for training a machine learning model in Azure Machine Learning service.
You create an estimator by running the following code:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 173
You plan to explore demographic data for home ownership in various cities. The data is in a CSV file with the following format:
age,city,income,home_owner
21,Chicago,50000,0
35,Seattle,120000,1
23,Seattle,65000,0
45,Seattle,130000,1
18,Chicago,48000,0
You need to run an experiment in your Azure Machine Learning workspace to explore the data and log the results. The experiment must log the following information:
the number of observations in the dataset
a box plot of income by home_owner
a dictionary containing the city names and the average income for each city You need to use the appropriate logging methods of the experiment's run object to log the required information.
How should you complete the code? To answer, drag the appropriate code segments to the correct locations. Each code segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 174
You need to configure the Edit Metadata module so that the structure of the datasets match.
Which configuration options should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 175
You are hired as a data scientist at a winery. The previous data scientist used Azure Machine Learning.
You need to review the models and explain how each model makes decisions.
Which explainer modules should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://medium.com/microsoftazure/automated-and-interpretable-machine-learning-d07975741298


NEW QUESTION # 176
......

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