Pass Designing and Implementing a Data Science Solution on Azure with our exact exam questions answers and practices your Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure exam online with practice test engine.
| Exam Code | DP-100 |
| Exam Name | Designing and Implementing a Data Science Solution on Azure |
| Update Date | 27 Jul, 2024 |
| Total Questions | 407 Questions Answers With Explanation |
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You are creating a machine learning model.You need to identify outliers in the data.Which two visualizations can you use? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.NOTE: Each correct selection is worth one point.
A. box plot
B. scatter
C. random forest diagram
D. Venn diagram
E. ROC curve
Note: This question is part of a series of questions that present the same scenario. Eachquestion in the series contains a unique solution that might meet the stated goals. Somequestion 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 are a data scientist using Azure Machine Learning Studio.You need to normalize values to produce an output column into bins to predict a target column.Solution: Apply an Equal Width with Custom Start and Stop binning mode.Does the solution meet the goal?
A. Yes
B. No
You create a binary classification model.You need to evaluate the model performance.Which two metrics can you use? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.
A. relative absolute error
B. precision
C. accuracy
D. mean absolute error
E. coefficient of determination
You plan to use a Data Science Virtual Machine (DSVM) with the open source deeplearning frameworks Caffe2 and Theano. You need to select a pre configured DSVM tosupport the framework.What should you create?
A. Data Science Virtual Machine for Linux (CentOS)
B. Data Science Virtual Machine for Windows 2012
C. Data Science Virtual Machine for Windows 2016
D. Geo AI Data Science Virtual Machine with ArcGIS
E. Data Science Virtual Machine for Linux (Ubuntu)
You plan to build a team data science environment. Data for training models in machinelearning pipelines willbe over 20 GB in size.You have the following requirements:Models must be built using Caffe2 or Chainer frameworks.Data scientists must be able to use a data science environment to build themachine learning pipelines and train models on their personal devices in bothconnected and disconnected network environments.Personal devices must support updating machine learning pipelines whenconnected to a network.You need to select a data science environment.Which environment should you use?
A. Azure Machine Learning Service
B. Azure Machine Learning Studio
C. Azure Databricks
D. Azure Kubernetes Service (AKS)
You plan to deliver a hands-on workshop to several students. The workshop will focus on creating datavisualizations using Python. Each student will use a device that has internet access.Student devices are not configured for Python development. Students do not haveadministrator access toinstall software on their devices. Azure subscriptions are not available for students.You need to ensure that students can run Python-based data visualization code.Which Azure tool should you use?
A. Anaconda Data Science Platform
B. Azure BatchAl
C. Azure Notebooks
D. Azure Machine Learning Service
You are creating a new experiment in Azure Machine Learning Studio. You have a smalldataset that has missing values in many columns. The data does not require theapplication of predictors for each column. You plan to use the Clean Missing Data moduleto handle the missing data.You need to select a data cleaning method.Which method should you use?
A. Synthetic Minority Oversampling Technique (SMOTE)
B. Replace using MICE
C. Replace using; Probabilistic PCA
D. Normalization
You are developing deep learning models to analyze semi-structured, unstructured, andstructured data types.You have the following data available for model building:Video recordings of sporting eventsTranscripts of radio commentary about eventsLogs from related social media feeds captured during sporting eventsYou need to select an environment for creating the model.Which environment should you use?
A. Azure Cognitive Services
B. Azure Data Lake Analytics
C. Azure HDInsight with Spark MLib
D. Azure Machine Learning Studio
You use Azure Machine Learning Studio to build a machine learning experiment.You need to divide data into two distinct datasets.Which module should you use?
A. Split Data
B. Load Trained Model
C. Assign Data to Clusters
D. Group Data into Bins
You are evaluating a completed binary classification machine learning model.You need to use the precision as the valuation metric.Which visualization should you use?
A. Binary classification confusion matrix
B. box plot
C. Gradient descent
D. coefficient of determination
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