Azure Data Solutions Exams Prep Courses

OVERVIEW

Datapao’s two Azure courses give you hands-on introduction to the Azure Data Platform and to Machine Learning solutions on Azure.

The courses also serve as prep courses for the following exams:

 

Our instructors will make sure you understand how to Design and Implement Azure Data Platform and Data Science Solutions and prepare you to pass the Microsoft Certifications.

 

Modules

You can select any number of modules from the following list:

An Azure Data Scientist applies his/her knowledge of data science and machine learning to implement and run machine learning workloads on Azure; in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production.

WHAT YOU WILL LEARN

Set up an Azure Machine Learning workspace
  • Create an Azure Machine Learning workspace
  • Manage data objects in an Azure Machine Learning workspace
  • Manage, experiment, compute contexts

 

Run experiments and train models
  • Create models using Azure Machine Learning Designer
  • Run training scripts in an Azure Machine Learning workspace
  • Generate metrics from an experiment run
  • Automate the model training process

 

Optimize and manage models
  • Use Automated ML to create optimal models
  • Use Hyperdrive to rune hyperparameters
  • Use model explainers to interpret models
  • Manage models

 

Deploy and consume models
  • Create production, compute targets
  • Deploy a model as a service
  • Create a pipeline for batch inferencing
  • Publish a Designer pipeline as a web service

 

For a detailed list of the exam requirements covered in this course consult the Skills Measured Section of the Microsoft DP-100 Exam Page.

REQUIREMENTS

  • Python knowledge

Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet data requirements to implement data solutions using Azure data services.

Azure data engineers are responsible for data-related implementation tasks, which include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.

WHAT YOU WILL LEARN

Implement Data Storage Solutions
  • Implement non-relational data stores
  • Implement relational data stores
  • Manage data security

 

Manage and Develop Data Processing
  • Develop batch processing solutions
  • Develop streaming solutions

 

Monitor and Optimize Data Solutions
  • Monitor data storage
  • Monitor data processing
  • Optimize Azure data solutions

 

For a detailed list of the exam requirements covered in this course consult the Skills Measured Section of the Microsoft DP-200 Exam Page.

REQUIREMENTS

  • Python knowledge