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Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate
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Master the Art of Data Science with DP-100! Dive into the world of Azure and equip yourself with the skills to design and implement data science solutions. Whether you’re a data enthusiast or a seasoned professional, this course is your gateway to harnessing the full potential of data on Azure. Get ready to embark on a journey of innovation and intelligence!

Microsoft Azure DP-100 Course Highlights

  • Course Duration – 32 hours
  • Learn from Industry Experts
  • Hands-on Data Science Projects
  • Certification Preparation
  • Practical Data Solution Design
  • Access to Azure Data Services

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Microsoft Azure DP-100 Course Description

Overview

Welcome to DP-100: Design & Implement Data Science Solution on Azure! This immersive course takes you deep into the world of data science on Azure, providing you with the skills and insights needed to design, implement, and optimize data science solutions. Explore the extensive capabilities of Microsoft Azure’s data services, learn to build and deploy machine learning models, and discover the art of data solution integration. Whether you’re a data science enthusiast looking to dive into the cloud or an experienced professional aiming to bolster your skills, this program caters to your aspirations. Delivered by industry experts, this course combines theoretical knowledge with practical experience through hands-on data projects, all aimed at preparing you for success in the world of data science and Azure.

Why DP-100: Design & Implement Data Science Solution on Azure?
  • Azure data services empower you to create intelligent data solutions at scale.
  • Unlock career opportunities with Microsoft Azure data science certification.
  • Learn from industry experts and gain hands-on experience.
  • Become proficient in designing and implementing data science solutions.
  • Boost your skills and expertise in data science on Azure.

Target Audience

Designed for data enthusiasts, data scientists, developers, and professionals seeking to enhance their data science and Azure capabilities. This course is suitable for both beginners and experienced individuals.

Pre-requisites

A basic understanding of data science concepts is recommended but not mandatory.

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Microsoft Azure DP-100 Course Objectives

  • Gain expertise in designing and implementing data science solutions on Microsoft Azure.
  • Understand the full spectrum of Azure data services and tools.
  • Create, train, and deploy machine learning models tailored to your specific needs.
  • Integrate data science solutions seamlessly into your existing applications.
  • Optimize data models and solutions for maximum performance.
  • Prepare for Microsoft’s DP-100 certification exam.

Microsoft Azure DP-100 Course Content

Module 1: Getting Started With Azure Machine Learning

  • Introduction to Azure Machine Learning
  • Working with Azure Machine Learning

Module 2: Visual Tools For Machine Learning

  • Automated Machine Learning
  • Azure Machine Learning Designer

Module 3: Running Experiments and Training Models

  • Introduction to Experiments
  • Training and Registering Models

Module 4: Working with Data

  • Working with Datastores
  • Working with Datasets

Module 5: Working with Compute 

  • Environments
  • Compute Targets

Module 6: Orchestrating Machine Learning Workflows

  • Introduction to Pipelines
  • Publishing and Running Pipelines

Module 7: Deploying and Consuming Models

  • Real-time Inferencing
  • Batch Inferencing
  • Continuous Integration and Delivery

Module 8: Training Optimal Models 

  • Hyperparameter Tuning
  • Automated Machine Learning

Module 9: Responsible Machine Learning

  • Differential Privacy 
  • Model Interpretability 
  • Fairness

Module 10: Monitoring Models

  • Monitoring Models with Application Insights
  • Monitoring Data Drift

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Microsoft Azure DP-100 FAQs

1. What is designing and implementing a data science solution on Azure?
This course guides you in utilizing your Python and machine learning expertise to effectively handle tasks such as data ingestion, preparation, model training, deployment, and monitoring within the Azure environment. It focuses on leveraging Azure Machine Learning and MLflow for a comprehensive data science solution.
2. What is the difficulty level of Azure DP 100?
The DP-100 exam is relatively manageable in comparison to other machine learning assessments. Proficiency in creating machine learning models using the pandas and Scikit-learn libraries significantly facilitates success in the exam. Now, let’s delve into the essential topics for the DP-100 exam, starting with exploring and analyzing data using pandas.
3. What is the objective of the DP 100 exam?

The DP-100 exam, titled “Designing and Implementing a Data Science Solution on Azure,” evaluates your proficiency in various technical tasks. These tasks include designing and preparing a machine learning solution, exploring data and training models, preparing a model for deployment, and deploying and retraining a model.

4. Who can take the DP 100 exam?
As an exam candidate, it is expected that you possess expertise in applying data science and machine learning to implement and manage machine learning workloads on Azure. Your role responsibilities encompass the design and establishment of an appropriate working environment for data science workloads.
5. How to crack the DP 100 exam?

To successfully pass the DP-100 exam, a thorough understanding of the Azure Machine Learning SDK for Python is crucial. The most effective approach to achieve this is to review the Azure Machine Learning Labs offered through Microsoft Learn.

6. What is the passing score for DP 100 certification?

A passing score for the exam is set at 700 or above. It’s important to note that this score is scaled, and as such, it may not directly correspond to 70% of the total points. The passing score takes into consideration both the requisite knowledge and skills necessary to demonstrate competence, along with the difficulty level of the questions.

7. How many questions are there in the DP 100 exam?

You will be allotted 120 minutes to respond to 40 to 60 questions in the DP-100 exam. The question formats vary and include multiple-choice questions (both single and multiple answers), sequence reordering, scenario-based questions, and fill-in-the-blank questions requiring code completion.

8. Is the DP 100 exam difficult?

In contrast to other machine learning exams, the DP-100 exam is relatively approachable. Proficiency in constructing machine learning models with the pandas and Scikit-learn libraries ensures a smooth passage. Let’s now examine the key topics for this exam, beginning with exploring and analyzing data using pandas.

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