Overview

DP-203 Certification detailsOverviewAs a candidate for this certification, you should have subject matter expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems into a suitable schema for building analytics solutions.As an Azure data engineer, you help stakeholders understand the data through exploration, and build and maintain secure and compliant data processing pipelines by using different tools and techniques. You use various Azure data services and frameworks to store and produce cleansed and enhanced datasets for analysis. This data store can be designed with different architecture patterns based on business requirements, including:Modern data warehouse (MDW)Big dataLakehouse architectureAs an Azure data engineer, you also help to ensure that the operationalization of data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. You help to identify and troubleshoot operational and data quality issues. You also design, implement, monitor, and optimize data platforms to meet the data pipelines.As a candidate for this certification, you must have solid knowledge of data processing languages, including:SQLPythonScalaYou need to understand parallel processing and data architecture patterns. You should be proficient in using the following to create data processing solutions:Azure Data FactoryAzure Synapse AnalyticsAzure Stream AnalyticsAzure Event HubsAzure Data Lake StorageAzure DatabricksSkills measuredDesign and implement data storageDevelop data processingSecure, monitor, and optimize data storage and data processingDP-100 Certification detailsOverviewAs a candidate for this certification, you should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure.Your responsibilities for this role include:Designing and creating a suitable working environment for data science workloads.Exploring data.Training machine learning models.Implementing pipelines.Running jobs to prepare for production.Managing, deploying, and monitoring scalable machine learning solutions.As a candidate for this certification, you should have knowledge and experience in data science by using:Azure Machine LearningMLflowSkills measuredDesign and prepare a machine learning solutionExplore data and train modelsPrepare a model for deploymentDeploy and retrain a model

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