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The DP-100 exam covers a wide range of topics, including data exploration, data preparation, modeling, and deployment. You will need to understand key Azure technologies such as Azure Machine Learning, Azure Databricks, and Azure Cosmos DB, as well as programming languages like Python and R. You will also need to be familiar with data storage and processing, data visualization, and machine learning techniques.

The Microsoft DP-100 Exam comprises of multiple-choice questions and performance-based tasks that measure the candidate's ability to implement data solutions, analyze data, and create machine learning models using Azure technologies. DP-100 exam is designed to evaluate the candidate's skills in various areas such as data preprocessing, model selection, data visualization, and deployment.

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Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q246-Q251):

NEW QUESTION # 246
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 # 247
You create an Azure Machine learning workspace and load a Python training script named tram.py in the src subfolder. The dataset used to train your model is available locally. You run the following script to tram the model:

instructions: 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 # 248
You create an Azure Machine Learning workspace and an Azure Synapse Analytics workspace with a Spark pool. The workspaces are contained within the same Azure subscription.
You must manage the Synapse Spark pool from the Azure Machine Learning workspace.
You need to attach the Synapse Spark pool in Azure Machine Learning by usinq the Python SDK v2.
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 an instance of the azure...
2 - Define Spark pool configuration..
3 - Attach the Synapase Spark pool with the...

NEW QUESTION # 249
You create an Azure Machine Learning dataset. You use the Azure Machine Learning designer to transform the dataset by using an Execute Python Script component and custom code.
You must upload the script and associated libraries as a script bundle.
You need to configure the Execute Python Script component.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 250
You use Azure Machine Learning to train a machine learning model.
You use the following training script in Python to perform logging:

You must use a Python script to define a sweep job.
You need to provide the primary metric and goal you want hyperparameter tuning to optimize.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 251
......

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Latest DP-100 Dumps Pdf & Reliable DP-100 Dumps Free

DP-100 guide torrent & DP-100 study guide & DP-100 actual exam

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q246-Q251):

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