You need to implement a model development strategy to determine a user's tendency to respond to an ad.
Which technique should you use?

• A.Use a Relative Expression Split module to partition the data based on centroid distance.
• B.Use a Relative Expression Split module to partition the data based on distance travelled to the event.
• C.Use a Split Rows module to partition the data based on distance travelled to the event.
• D.Use a Split Rows module to partition the data based on centroid distance.

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You need to define a process for penalty event detection.
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.

Correct Answer:

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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.
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You have a Python script named train.py in a local folder named scripts. The script trains a regression model by using scikit-learn. The script includes code to load a training data file which is also located in the scripts folder.
You must run the script as an Azure ML experiment on a compute cluster named aml-compute.
You need to configure the run to ensure that the environment includes the required packages for model training. You have instantiated a variable named aml-compute that references the target compute cluster.
Solution: Run the following code:

Does the solution meet the goal?

• A.Yes
• B.No

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You are building a machine learning model for translating English language textual content into French language textual content.
You need to build and train the machine learning model to learn the sequence of the textual content.
Which type of neural network should you use?

• A.Multilayer Perceptions (MLPs)
• B.Convolutional Neural Networks (CNNs)
• C.Recurrent Neural Networks (RNNs)
• D.Generative Adversarial Networks (GANs)

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You are a data scientist working for a hotel booking website company. You use the Azure Machine Learning service to train a model that identifies fraudulent transactions.
You must deploy the model as an Azure Machine Learning real-time web service using the Model.deploy method in the Azure Machine Learning SDK. The deployed web service must return real-time predictions of fraud based on transaction data input.
You need to create the script that is specified as the entry_script parameter for the InferenceConfig class used to deploy the model.
What should the entry script do?

• A.Start a node on the inference cluster where the web service is deployed.
• B.Create a Conda environment for the web service compute and install the necessary Python packages.
• C.Register the model with appropriate tags and properties.
• D.Load the model and use it to predict labels from input data.
• E.Specify the number of cores and the amount of memory required for the inference compute.

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