Microsoft DP-100최신핫덤프 - DP-100시험대비인증공부자료

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Microsoft DP-100 인증 시험은 Azure에서 데이터 과학 솔루션을 설계하고 구현하는 능력을 보여 주려는 데이터 과학자 및 기계 학습 엔지니어에게 귀중한 자격 증명입니다. 이 시험은 데이터 과학 및 기계 학습과 관련된 광범위한 주제를 다루고 있으며 후보자는 Azure Data Services를 깊이 이해해야합니다. 시험 준비를 위해 응시자는 온라인 교육 과정, 학습 가이드 및 실습 시험을 포함하여 Microsoft가 제공하는 다양한 리소스를 활용할 수 있습니다.

이 시험은 Azure에서 데이터 공개 및 준비, 모델링, 배포 및 데이터 과학 솔루션 관리 등 다양한 주제를 다룹니다. 또한 데이터 삽입, 기능 엔지니어링 및 기계 학습 알고리즘과 같은 주제도 다룹니다. 이 시험은 후보자의 이러한 주제에 대한 이해도와 실제 시나리오에 적용하는 능력을 검증하기 위해 설계되었습니다.

>> Microsoft DP-100최신핫덤프 <<

최신 Microsoft Azure DP-100 무료샘플문제 (Q466-Q471):

질문 # 466
You are analyzing a raw dataset that requires cleaning.
You must perform transformations and manipulations by using Azure Machine Learning Studio.
You need to identify the correct modules to perform the transformations.
Which modules should you choose? To answer, drag the appropriate modules to the correct scenarios. Each module 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.

정답：

설명：

Explanation:
Box 1: Clean Missing Data
Box 2: SMOTE
Use the SMOTE module in Azure Machine Learning Studio to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
Box 3: Convert to Indicator Values
Use the Convert to Indicator Values module in Azure Machine Learning Studio. The purpose of this module is to convert columns that contain categorical values into a series of binary indicator columns that can more easily be used as features in a machine learning model.
Box 4: Remove Duplicate Rows
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-indicator-values

질문 # 467
You plan to run a Python script as an Azure Machine Learning experiment.
The script must read files from a hierarchy of folders. The files will be passed to the script as a dataset argument.
You must specify an appropriate mode for the dataset argument.
Which two modes can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. as_download()
B. as mount ()
C. as_upload()
D. to_pandas_dataframe ()

정답：A

설명：
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.data.filedataset?view=azure-ml-py

질문 # 468
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. Binary classification confusion matrix
B. Gradient descent
C. Violin plot
D. Box plot

정답：A

설명：
Incorrect Answers:
A: A violin plot is a visual that traditionally combines a box plot and a kernel density plot.
B: Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the gradient (or approximate gradient) of the function at the current point.
C: A box plot lets you see basic distribution information about your data, such as median, mean, range and quartiles but doesn't show you how your data looks throughout its range.
References:
https://machinelearningknowledge.ai/confusion-matrix-and-performance-metrics-machine-learning/

질문 # 469
You register the following versions of a model.

You use the Azure ML Python SDK to run a training experiment. You use a variable named run to reference the experiment run.
After the run has been submitted and completed, you run 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.

정답：

설명：

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-and-where

질문 # 470
You manage an Azure Machine Learning workspace. You build a model for which you must configure a Responsible Al dashboard. Based on what you learn from the dashboard, you must perform the following activities:
* Determine what must be done to get a desirable outcome from the model.
* Identify the features that have the most direct effect on your outcome of interest.
You need to select the components to use for the Responsible Al dashboard configuration. Which two components should you add? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A. error analysis
B. counterfactuals
C. causal
D. explanation

정답：B,C

질문 # 471
......

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Microsoft DP-100최신핫덤프 - DP-100시험대비인증공부자료

최신 DP-100최신핫덤프 인증시험 인기 덤프문제 다운

최신 Microsoft Azure DP-100 무료샘플문제 (Q466-Q471):