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

You are creating a new experiment in Azure Machine Learning Studio. You have a small dataset that has missing values in many columns. The data does not require the application of predictors for each column. You plan to use the Clean Missing Data module to handle the missing data.You need to select a data cleaning method.Which method should you use?

• Synthetic Minority Oversampling Technique (SMOTE)
• Replace using MICE
• Replace using; Probabilistic PCA
• Normalization

You create a multi-class image classification model with automated machine learning in Azure Machine Learning.You need to prepare labeled image data as input for model training in the form of an Azure Machine Learning tabular dataset.Which data format should you use?

• COCO
• JSONL
• JSON
• Pascal VOC

You plan to use the Hyperdrive feature of Azure Machine Learning to determine the optimal hyperparameter values when training a model.You must use Hyperdrive to try combinations of the following hyperparameter values. You must not apply an early termination policy.learning_rate: any value between 0.001 and 0.1* batch_size: 16, 32, or 64You need to configure the sampling method for the Hyperdrive experimentWhich two sampling methods can you use? Each correct answer is a complete solution.NOTE: Each correct selection is worth one point.

• Grid sampling
• No sampling
• Bayesian sampling
• Random sampling

You have an Azure Machine Learning workspace named WS1.You plan to use the Responsible Al dashboard to assess MLflow models that you will register in WS1.You need to identify the library you should use to register the MLflow models.Which library should you use?

• PyTorch
• mlpy
• TensorFlow
• scikit-learn

You train and register an Azure Machine Learning modelYou plan to deploy the model to an online endpointYou need to ensure that applications will be able to use the authentication method with a non-expiring artifact to access the model.Solution:Create a managed online endpoint with the default authentication settings. Deploy the model to the online endpoint.Does the solution meet the goal?

• Yes
• No

You have an Azure Machine Learning workspace.You plan to use the workspace to set up automated machine learning training for an image classification model.You need to choose the primary metric to optimize the model training.Which primary metric should you choose?

• r2_score
• mean_absolute_error
• accuracy
• root_mean_squared_log_error

You have an Azure Machine Learning workspace.You plan to tune a model hyperparameter when you train the model.You need to define a search space that returns a normally distributed value.Which parameter should you use?

• QUniform
• LogUniform
• Uniform
• LogNormal

You need to select a feature extraction method.Which method should you use?

• Spearman correlation
• Mutual information
• Mann-Whitney test
• Pearson's correlation

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, thesequestions will not appear in the review screen.You are creating a model to predict the price of a student's artwork depending on the following variables: the student's length of education, degree type, and art form.You start by creating a linear regression model.You need to evaluate the linear regression model.Solution: Use the following metrics: Relative Squared Error, Coefficient of Determination, Accuracy, Precision, Recall, F1 score, and AUC.Does the solution meet the goal?

• Yes
• No

You have a dataset that includes confidential data. You use the dataset to train a model.You must use a differential privacy parameter to keep the data of individuals safe and private.You need to reduce the effect of user data on aggregated results.What should you do?

• Decrease the value of the epsilon parameter to reduce the amount of noise added to the data
• Increase the value of the epsilon parameter to decrease privacy and increase accuracy
• Decrease the value of the epsilon parameter to increase privacy and reduce accuracy
• Set the value of the epsilon parameter to 1 to ensure maximum privacy