Fast2test 為 Microsoft Designing and Implementing a Data Science Solution on Azure 考生準備了三種產品形式：可列印的 PDF、模擬真實考場的 Desktop Test Engine，以及跨裝置使用的 Online Test Engine。無論你偏好哪種讀書方式，DP-100 的 528 道題目都能陪你練到考前一天。

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最新的 Microsoft Azure DP-100 免費考試真題：

問題 #1

You use Azure Machine Learning to deploy a model as a real-time web service.
You need to create an entry script for the service that ensures that the model is loaded when the service starts and is used to score new data as it is received.
Which functions should you include in the script? To answer, drag the appropriate functions to the correct actions. Each function 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.

問題 #2

You use Azure Machine Learning designer to create a real-time service endpoint. You have a single Azure Machine Learning service compute resource. You train the model and prepare the real-time pipeline for deployment You need to publish the inference pipeline as a web service. Which compute type should you use?

A. HDInsight
B. a new Machine Learning Compute resource
C. Azure Databricks
D. Azure Kubernetes Services
E. the existing Machine Learning Compute resource

問題 #3

You are a data scientist building a deep convolutional neural network (CNN) for image classification.
The CNN model you built shows signs of overfitting.
You need to reduce overfitting and converge the model to an optimal fit.
Which two actions should you perform? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Add an additional dense layer with 64 input units
B. Add an additional dense layer with 512 input units.
C. Add L1/L2 regularization.
D. Reduce the amount of training data.
E. Use training data augmentation

問題 #4

You plan to implement an Azure Machine Learning solution. You have the following requirements:
* Run a Jupyter notebook to interactively tram a machine learning model.
* Deploy assets and workflows for machine learning proof of concept by using scripting rather than custom programming.
You need to select a development technique for each requirement
Which development technique should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

問題 #5

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.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You create a model to forecast weather conditions based on historical data.
You need to create a pipeline that runs a processing script to load data from a datastore and pass the processed data to a machine learning model training script.
Solution: Run the following code:

Does the solution meet the goal?

A. No
B. Yes

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