DP-100 Reliable Study Notes, Latest DP-100 Questions

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DP-100 Reliable Study Notes,Latest DP-100 Questions,DP-100 Exam Syllabus,DP-100 Exam PDF,DP-100 Free Practice, DP-100 Reliable Study Notes, Latest DP-100 Questions

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The software keeps track of the previous DP-100 Designing and Implementing a Data Science Solution on Azure practice exam attempts and shows the changes of each attempt. You don't need to wait days or weeks to get your performance report. The software displays the result of the Microsoft DP-100 Practice Test immediately, which is an excellent way to understand which area needs more attention.

Microsoft DP-100: Exam Details

Microsoft doesn’t provide detailed information regarding its exams, including the DP-100 certification test. The total number of questions in exam is not published on the official website, but the candidates can expect to encounter about 40-60 items in their delivery of their test. There is also a high probability that they will face scenario-based questions with single-answer and multiple-answer options. The duration is all about 120 minutes. The exam is available in several languages, including Japanese, English, Simplified Chinese, and Korean.

The Microsoft DP-100 exam can be taken at any nearest Pearson VUE testing center or online as a proctored option. The cost for the exam is $165 in the United States but the price is usually different in other countries due to taxation. To find out the actual pricing for your country, simply check the official webpage.

Microsoft Designing and Implementing a Data Science Solution on Azure Exam Certification Details:

Exam Price	$165 (USD)
Sample Questions	Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions
Number of Questions	40-60
Exam Name	Microsoft Certified - Azure Data Scientist Associate
Schedule Exam	Pearson VUE
Passing Score	700 / 1000
Exam Code	DP-100

>> DP-100 Reliable Study Notes <<

Latest Microsoft DP-100 Questions - DP-100 Exam Syllabus

Taking the Microsoft DP-100 practice test is very beneficial to clear the Designing and Implementing a Data Science Solution on Azure DP-100 exam on the first try. You get awareness about the Microsoft DP-100 real exam environment because the DP-100 Practice Exam has an actual exam-like pattern. Furthermore, the Microsoft DP-100 practice test tracks and reports your performance.

Certification Path

The Microsoft Certified Azure Data Scientist Associate Certification includes only one DP-100 Exam.

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q153-Q158):

NEW QUESTION # 153
You are a data scientist creating a linear regression model.
You need to determine how closely the data fits the regression line.
Which metric should you review?

A. Mean absolute error
B. Precision
C. Root Mean Square Error
D. Coefficient of determination
E. Recall

Answer: D

Explanation:
Coefficient of determination, often referred to as R2, represents the predictive power of the model as a value between 0 and 1. Zero means the model is random (explains nothing); 1 means there is a perfect fit. However, caution should be used in interpreting R2 values, as low values can be entirely normal and high values can be suspect.
Incorrect Answers:
A: Root mean squared error (RMSE) creates a single value that summarizes the error in the model. By squaring the difference, the metric disregards the difference between over-prediction and under-prediction.
C: Recall is the fraction of all correct results returned by the model.
D: Precision is the proportion of true results over all positive results.
E: Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model

NEW QUESTION # 154
You plan to run a script as an experiment using a Script Run Configuration. The script uses modules from the scipy library as well as several Python packages that are not typically installed in a default conda environment You plan to run the experiment on your local workstation for small datasets and scale out the experiment by running it on more powerful remote compute clusters for larger datasets.
You need to ensure that the experiment runs successfully on local and remote compute with the least administrative effort.
What should you do?

A. Do not specify an environment in the run configuration for the experiment. Run the experiment by using the default environment.
B. Create a config.yaml file defining the conda packages that are required and save the file in the experiment folder.
C. Create a virtual machine (VM) with the required Python configuration and attach the VM as a compute target. Use this compute target for all experiment runs.
D. Always run the experiment with an Estimator by using the default packages.
E. Create and register an Environment that includes the required packages. Use this Environment for all experiment runs.

Answer: C

NEW QUESTION # 155
You are performing sentiment analysis using a CSV file that includes 12,000 customer reviews written in a short sentence format. You add the CSV file to Azure Machine Learning Studio and configure it as the starting point dataset of an experiment. You add the Extract N-Gram Features from Text module to the experiment to extract key phrases from the customer review column in the dataset.
You must create a new n-gram dictionary from the customer review text and set the maximum n-gram size to trigrams.
What should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/extract-n-gram-features-from-text

NEW QUESTION # 156
You are developing a linear regression model in Azure Machine Learning Studio. You run an experiment to compare different algorithms.
The following image displays the results dataset output:

Use the drop-down menus to select the answer choice that answers each question based on the information presented in the image.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: Boosted Decision Tree Regression
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Box 2:
Online Gradient Descent: If you want the algorithm to find the best parameters for you, set Create trainer mode option to Parameter Range. You can then specify multiple values for the algorithm to try.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression

NEW QUESTION # 157
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are analyzing a numerical dataset which contains missing values in several columns.
You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set.
You need to analyze a full dataset to include all values.
Solution: Remove the entire column that contains the missing data point.
Does the solution meet the goal?

A. No
B. Yes

Answer: A

Explanation:
Use the Multiple Imputation by Chained Equations (MICE) method.
References:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074241/
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data

NEW QUESTION # 158
......

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