Microsoft Designing and Implementing a Data Science Solution on Azure Exam Syllabus

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The Microsoft Designing and Implementing a Data Science Solution on Azure certification is mainly targeted to those candidates who want to build their career in Microsoft Azure domain. The Microsoft Certified - Azure Data Scientist Associate exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Microsoft Designing and Implementing a Data Science Solution on Azure.

Microsoft Designing and Implementing a Data Science Solution on Azure Exam Summary:

Exam Name Microsoft Certified - Azure Data Scientist Associate
Exam Code DP-100
Exam Price $165 (USD)
Duration 120 mins
Number of Questions 40-60
Passing Score 700 / 1000
Books / Training DP-100T01-A: Designing and Implementing a Data Science Solution on Azure
Schedule Exam Pearson VUE
Sample Questions Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions
Practice Exam Microsoft DP-100 Certification Practice Exam

Microsoft DP-100 Exam Syllabus Topics:

Topic Details

Set up an Azure Machine Learning Workspace (30-35%)

Create an Azure Machine Learning workspace - create an Azure Machine Learning workspace
- configure workspace settings
- manage a workspace by using Azure Machine Learning studio
Manage data objects in an Azure Machine Learning workspace - register and maintain datastores
- create and manage datasets
Manage experiment compute contexts - create a compute instance
- determine appropriate compute specifications for a training workload
- create compute targets for experiments and training

Run Experiments and Train Models (25-30%)

Create models by using Azure Machine Learning Designer - create a training pipeline by using Azure Machine Learning designer
- ingest data in a designer pipeline
- use designer modules to define a pipeline data flow
- use custom code modules in designer
Run training scripts in an Azure Machine Learning workspace - create and run an experiment by using the Azure Machine Learning SDK
- configure run settings for a script
- consume data from a dataset in an experiment by using the Azure Machine Learning SDK
Generate metrics from an experiment run - log metrics from an experiment run
- retrieve and view experiment outputs
- use logs to troubleshoot experiment run errors
Automate the model training process - create a pipeline by using the SDK
- pass data between steps in a pipeline
- run a pipeline
- monitor pipeline runs

Optimize and Manage Models (20-25%)

Use Automated ML to create optimal models - use the Automated ML interface in Azure Machine Learning studio
- use Automated ML from the Azure Machine Learning SDK
- select pre-processing options
- determine algorithms to be searched
- define a primary metric
- get data for an Automated ML run
- retrieve the best model
Use Hyperdrive to tune hyperparameters - select a sampling method
- define the search space
- define the primary metric
- define early termination options
- find the model that has optimal hyperparameter values
Use model explainers to interpret models - select a model interpreter
- generate feature importance data
Manage models - register a trained model
- monitor model usage
- monitor data drift

Deploy and Consume Models (20-25%)

Create production compute targets - consider security for deployed services
- evaluate compute options for deployment
Deploy a model as a service - configure deployment settings
- consume a deployed service
- troubleshoot deployment container issues
Create a pipeline for batch inferencing - publish a batch inferencing pipeline
- run a batch inferencing pipeline and obtain outputs
Publish a designer pipeline as a web service - create a target compute resource
- configure an Inference pipeline
- consume a deployed endpoint

To ensure success in Microsoft Designing and Implementing a Data Science Solution on Azure certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Designing and Implementing a Data Science Solution on Microsoft Azure (DP-100) exam.

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