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The passing score for AI-102 is typically 700 out of 1000. Microsoft uses a scaled scoring method that considers question difficulty.
AI-102 includes around 40-60 questions. The duration is approximately 180 minutes, and question types vary, including multiple-choice, drag-and-drop, and scenario-based questions.
Candidates should be proficient in Azure Machine Learning, Azure Cognitive Services, and knowledge of AI development using Azure tools.
Yes, AI-102 includes real-world scenario-based questions. To prepare, candidates should practice designing and implementing AI solutions on Azure.
Candidates should be familiar with Azure services like Azure Data Factory, Azure Databricks, and Azure IoT Hub, as they are relevant to AI solution design.
AI-102 certification opens doors to roles like Azure AI Solution Architect or AI Engineer, with opportunities to design and implement AI solutions on Azure, offering career growth in Azure-based AI design.
Job roles benefiting from the Microsoft AI-102 certification include AI engineers, data scientists, machine learning specialists, software developers, and IT professionals focused on designing and implementing AI solutions using Microsoft Azure AI services.
The average salary for professionals with an AI-102 certification ranges from $100,000 to $140,000 annually, depending on experience, job role, and location.
Career paths after obtaining the AI-102 certification include AI engineer, machine learning specialist, data scientist, AI solutions architect, and roles in AI project management and AI application development.
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