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The Microsoft DP-100 Exam measures the candidate's ability to design and implement data ingestion and processing solutions, design and implement machine learning models, and design and implement solutions for real-time and batch data processing. The candidates are also evaluated on their skills to design and implement monitoring and optimization solutions, as well as designing and implementing solutions for data storage and management.

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Microsoft DP-100 Dumps PDF Format

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The DP-100 exam is designed to test candidates' knowledge and skills in various areas related to data science, such as data exploration and preparation, modeling, feature engineering, and machine learning. To pass the exam, candidates must demonstrate their ability to design and implement data science solutions using Azure services such as Azure Machine Learning, Azure Databricks, and Azure HDInsight, among others.

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Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q160-Q165):

NEW QUESTION # 160
You need to correct the model fit 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 order.

Answer:

Explanation:

Explanation

Step 1: Augment the data
Scenario: Columns in each dataset contain missing and null values. The datasets also contain many outliers.
Step 2: Add the Bayesian Linear Regression module.
Scenario: You produce a regression model to predict property prices by using the Linear Regression and Bayesian Linear Regression modules.
Step 3: Configure the regularization weight.
Regularization typically is used to avoid overfitting. For example, in L2 regularization weight, type the value to use as the weight for L2 regularization. We recommend that you use a non-zero value to avoid overfitting.
Scenario:
Model fit: The model shows signs of overfitting. You need to produce a more refined regression model that reduces the overfitting.


NEW QUESTION # 161
You have an Azure Machine Learning workspace that contains a training cluster and an inference cluster.
You plan to create a classification model by using the Azure Machine Learning designer.
You need to ensure that client applications can submit data as HTTP requests and receive predictions as responses.
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 order.

Answer:

Explanation:

1 - Create a pipeline that trains a classification model and run the pipeline on the compute cluster.
2 - Create a batch inference pipeline and run the pipeline on the compute cluster.
3 - Deploy a service to the inference cluster.


NEW QUESTION # 162
You are developing a machine learning, experiment by using Azure.
The following images show the input and output of a machine learning experiment:

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

Answer:

Explanation:


NEW QUESTION # 163
You are analyzing a dataset containing historical data from a local taxi company. You arc developing a regression a regression model.
You must predict the fare of a taxi trip.
You need to select performance metrics to correctly evaluate the- regression model.
Which two metrics can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

Answer: E,F

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model


NEW QUESTION # 164
Your Azure Machine Learning workspace has a dataset named real_estate_dat a. A sample of the data in the dataset follows.

You want to use automated machine learning to find the best regression model for predicting the price column.
You need to configure an automated machine learning experiment using the Azure Machine Learning SDK.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.automlconfig?view=azure-ml-py


NEW QUESTION # 165
......

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