Microsoft Designing and Implementing a Data Science Solution on Azure DP-100 Exam Practice Test

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Total 506 questions
Question 1

You have an Azure Machine Learning workspace.

You plan to use automated machine learning in the workspace to train a natural language processing model for multi-class classification. You need to provide a dataset for training the model. How should you format the data?



Answer : B


Question 2

You plan to provision an Azure Machine Learning Basic edition workspace for a data science project.

You need to identify the tasks you will be able to perform in the workspace.

Which three tasks will you be able to perform? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

D



Answer : A, B, D


https://azure.microsoft.com/en-us/pricing/details/machine-learning/

Question 3

You create an Azure Machine Learning pipeline named pipeline1 with two steps that contain Python scripts. Data processed by the first step is passed to the second step.

You must update the content of the downstream data source of pipeline1 and run the pipeline again

You need to ensure the new run of pipeline1 fully processes the updated content.

Solution: Set the allow_reuse parameter of the PythonScriptStep object of both steps to False

Does the solution meet the goal?



Answer : B


Question 4

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?



Answer : C

To translate a corpus of English text to French, we need to build a recurrent neural network (RNN).

Note: RNNs are designed to take sequences of text as inputs or return sequences of text as outputs, or both.

They're called recurrent because the network's hidden layers have a loop in which the output and cell state from each time step become inputs at the next time step. This recurrence serves as a form of memory. It allows contextual information to flow through the network so that relevant outputs from previous time steps can be applied to network operations at the current time step.


https://towardsdatascience.com/language-translation-with-rnns-d84d43b40571

Question 5

You use the Azure Machine Learning Python SDK to create a batch inference pipeline.

You must publish the batch inference pipeline so that business groups in your organization can use the pipeline. Each business group must be able to specify a different location for the data that the pipeline submits to the model for scoring.

You need to publish the pipeline.

What should you do?



Answer : C


Question 6

You have an Azure Machine Learning workspace. You connect to a terminal session from the Notebooks page in Azure Machine Learning studio. You plan to add a new Jupyter kernel that will be accessible from the same terminal session. You need to perform the task that must be completed before you can add the new kernel.

Solution: Create a compute instance.

Does the solution meet the goal?



Answer : B


Question 7

You need to select an environment that will meet the business and data requirements.

Which environment should you use?



Answer : D


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Total 506 questions