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Microsoft 070-774 exam is designed for professionals who want to demonstrate their expertise in cloud data science with Azure Machine Learning. Perform Cloud Data Science with Azure Machine Learning certification exam is intended for individuals who have a strong understanding of data science concepts, programming languages such as Python and R, and the ability to design and implement machine learning models on Azure. 070-774 exam is ideal for data scientists, data analysts, and other IT professionals who want to validate their skills in the rapidly growing field of cloud-based machine learning.
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Microsoft 070-774 exam is a certification exam for professionals who work in the field of cloud data science. 070-774 exam is designed for those who use Microsoft Azure Machine Learning to perform data analysis, build predictive models, and deploy data solutions. Candidates for 070-774 exam should have experience in data science, programming languages, and machine learning algorithms.
Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx
Microsoft 070-774 certification exam consists of 40-60 multiple choice questions that must be answered within two hours. Additionally, candidates must also complete a hands-on lab exercise that requires them to develop and deploy a machine learning model using Azure Machine Learning Studio.
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The Microsoft 070-774 exam consists of multiple-choice questions and performance-based tasks that require you to apply your knowledge and skills to real-world scenarios. You will need to demonstrate your ability to create and configure Azure Machine Learning workspaces, data stores, and compute resources, as well as your ability to use Azure Machine Learning Studio to create and deploy machine learning models. You will also be tested on your knowledge of Azure Machine Learning packages and APIs, as well as your ability to use Python and R programming languages to create and evaluate machine learning models.
| Section | Weight | Objectives |
|---|---|---|
| Operationalize and Manage Azure Machine Learning Services | 25% | - Manage workspaces and experiments
|
| Prepare Data for Analysis in Azure Machine Learning | 30% | - Import and export data
|
| Use Other Services for Machine Learning | 10% | - Work with Microsoft Cognitive Toolkit - Integrate with HDInsight - Use SQL Server R Services - Leverage Cortana Intelligence Gallery |
| Develop Machine Learning Models | 35% | - Select appropriate algorithms
|
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