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Last Update: Nov 13, 2021

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Microsoft DP-100 Premium Bundle
Microsoft DP-100 Premium Bundle

Premium File 277 Questions & Answers

Last Update: Nov 13, 2021

Training Course 80 Lectures

$74.99

DP-100 Bundle gives you unlimited access to "DP-100" files. However, this does not replace the need for a .vce exam simulator. To download your .vce exam simulator click here

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DP-100 Exam Facts

Microsoft DP-100 is an associate-level exam. It checks the competence of the applicants in deploying and operationalizing machine learning solutions as well as running experiments and training models. Besides that, the test focuses on implementing responsible machine learning and managing Azure resources for machine learning. This exam leads to obtaining the related certificate, which is Microsoft Certified: Azure Data Scientist Associate.

Requirements

The DP-100: Designing and Implementing a Data Science Solution on Azure exam does not have formal prerequisites. On the other hand, it is recommended that the applicants have proficiency in applying machine learning and data science to implement and run machine learning workloads on Azure. Furthermore, they should possess the ability to plan and create suitable working environments for data science workloads on Azure. Moreover, it is important to have experience in training the predictive models and running data experiments as well as managing, optimizing, and deploying the machine learning models into production. In addition, the professionals need to have a comprehension of data science and the relevant skills in utilizing Azure Databricks and Azure Machine Learning. The target audience for the test is those individuals who want to develop in the domain of data science.

Exam Overview

Microsoft DP-100 has from 40 to 60 questions, and the test takers will be given 2 hours to answer them. The ‘pass’ status is given to those applicants who manage to get at least 700 points out of 1000. The exam comes in Korean, Chinese (Simplified), Japanese, and English. To register for this test, you need to pay $165.

The exam consists of several subject areas. It is pretty important to get conversant with them beforehand. The highlights of these topics are enumerated below:

  • Managing Azure Resources for Machine Learning

    When it comes to the first part, the professionals need to show their competence in creating, setting, and working with Azure Machine Learning workspaces. Moreover, it focuses on selecting Azure storage resources as well as creating and sharing compute instances. Furthermore, this domain evaluates the skills of the individuals in creating targets for training and experiments.

  • Running Experiments and Training Models

    The next section is scattered around creating training pipelines by utilizing Azure Machine Learning designer, ingesting data in designer pipelines, configuring run settings for a script, and running training scripts on Azure Databricks compute. Besides that, the test takers need to possess expertise in utilizing designer modules for defining pipelines data flow as well as creating and running experiments by utilizing the Azure Machine Learning Software Development Kit. In addition, they should have the relevant skills in running code to train a model in an Azure Databricks notebook, using logs to troubleshoot the experiment run errors, and using MLflow to track experiments.

  • Deploying and Operationalizing Machine Learning Solutions

    This subject area checks the proficiency of the specialists in configuring deployment settings, deploying registered models, and troubleshooting deployment container issues. Furthermore, this part concentrates on monitoring model usage and data drift as well as creating and running pipelines. In addition, the examinees need to demonstrate their competence in creating a target compute resource, refactoring notebooks into scripts, and implementing source control for scripts.

  • Implementing Responsible Machine Learning

    Regarding the last topic, it requires that the students possess expertise in selecting model interpreters as well as evaluating model fairness based on prediction disparity and mitigating model unfairness. In addition, this module assesses their knowledge of principles of differential privacy and acceptable levels of noise in data.

Preparation Options

To start the preparation process for Microsoft DP-100, the individuals can explore the exam skills outline. This document includes an overview of the skills that you should develop to get ready for the test. Apart from going through this outline, you can check other materials. The following are some of them:

  • DP-100T01: Designing and Implementing a Data Science Solution on Azure Course

    It is a special 3-day instructor-led training course. It concentrates on operating machine learning solutions at a Cloud scale utilizing Azure Machine Learning. The course can help the students develop the skills in using their knowledge of machine learning and Python to manage data preparation and ingestion, model deployment and training, and machine learning solutions monitoring in Microsoft Azure. The applicants who want to take this course need to possess a comprehension of Cloud computing concepts and expertise in general data science and machine learning techniques and tools. The individuals should have the abilities to train and validate machine learning models utilizing common frameworks, such as TensorFlow, Scikit-Learn, and PyTorch, create Cloud resources in Microsoft Azure, work with containers, and use Python to explore and visualize data. This training is available in English, Korean, Chinese (Simplified), and Japanese.

  • DP-090T00: Implementing a Machine Learning Solution with Microsoft Azure Databricks Course

    This course, in its turn, lasts 1 day and can be taken only in English. It covers using Azure Databricks to train machine learning models and using MLflow to track experiments and manage machine learning models. In addition, it focuses on provisioning an Azure Databricks workspace and cluster as well as integrating Azure Databricks with Azure Machine Learning. As for the prerequisites of this course, the professionals need to have experience in utilizing Python to work with data. Moreover, it is important to possess some knowledge of machine learning concepts. More information about this course as well as the training option described earlier can be found on the official webpage.

Career Opportunities

When the specialists nail Microsoft DP-100, they will earn the Microsoft Certified: Azure Data Scientist Associate certification. The individuals with this certificate can explore various job roles in the area of data science. Some of the positions that they can think about include a Research Scientist, a Data Scientist, a Data Science Manager, and a Machine Learning Engineer among others. The median salary outlook for these titles is $107,000 per year. At the same time, it is important to note that the actual salary will depend on various factors (experience, place of work, country of living, etc.).

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