Associate Certification: Data Engineer, AI Engineer (exams required: DP-900, AI-900)

Intermediate Certification: Data Scientist, AI Engineer (exams required: DP-100, AI-102)

AI-900 can be used to prepare DP-100 and AI-102, but is not a prerequisite.

DP-900: Microsoft Azure Data Fundamentals

Exam DP-900: Microsoft Azure Data Fundamentals - Learn | Microsoft Docs

Candidates taking this exam should have Basic knowledge of core data concepts and how to implement them using Microsoft Azure Data Services. This exam is for candidates who are starting to work with data in the cloud. Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads, such as transactional or analytical. Azure Data Fundamentals can be used to prepare for other Azure role-based certifications, such as Azure Database Administrator Associate or Azure Data Engineer Associate, but it is not a prerequisite for any of them.

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

Exam DP-100: Designing and Implementing a Data Science Solution on Azure - Learn | Microsoft Docs

Students for this exam should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Microsoft Azure. Responsibilities for this role include planning and creating a suitable work environment for data science workloads on Azure. They run data experiments and prepare predictive models. Additionally, they manage, optimize, and deploy machine learning models into production. Candidates for this certification should have data science knowledge and experience with Azure Machine Learning and Azure Databricks.

AI-900: Microsoft Azure AI Fundamentals

Exam AI-900: Microsoft Azure AI Fundamentals - Learn | Microsoft Docs

Candidates taking this exam should have Fundamentals of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. This exam is for candidates with technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience will be beneficial. Azure AI Fundamentals can be used to prepare for other Azure role-based certifications, such as Azure Data Scientist Associate or Azure AI Engineer Associate, but it is not a prerequisite for any of them.

AI-102: Designing and Implementing a Microsoft Azure AI Solution

Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution - Learn | Microsoft Docs

AI-102 Exam Candidates: Designing and Implementing a Microsoft Azure AI Solution Build, manage, and deploy AI solutions with Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. Their responsibilities include participation in all stages of AI solution development—from requirements definition and design to development, deployment, maintenance, execution tuning, and management. They use solution architecture to translate their releases and work with data scientists, data engineers, IoT experts, and AI developers to build complete end-to-end AI solutions. Candidates for this exam should be proficient in C# or Python and be able to use REST-based APIs and SDKs to create Azure-based computer versions, natural language processing, knowledge mining, and conversational AI. They should also understand the components that make up the Azure AI portfolio and the data storage options available. Additionally, candidates must understand and be able to apply AI principles.

Microsoft-70-741-Dumps

The process of becoming a networker isn’t considered for the faint-hearted. It requires lots of hard work and nice and trustworthy Microsoft 70 741 Dumps, like that offered at the ITCertDumps, to clear this grueling exam.

Comments

Leave a comment