Designing and Implementing a Microsoft Azure AI Solution
- Product Code: ai-102
- Exam Questions: 172
- Vendor: microsoft
$9.99
$12.99- Updated At: Nov 14, 2024
Designing and Implementing a Microsoft Azure AI Solution
Demonstrate your ability to design, implement, and manage artificial intelligence (AI) solutions on Microsoft Azure.
Focus
The Designing and Implementing a Microsoft Azure AI Solution certification focuses on AI, Azure, Microsoft Azure Machine Learning, Azure AI
Exam Duration
The Designing and Implementing a Microsoft Azure AI Solution exam duration is 130 minutes
Num of Question
The exam contains a total of 40-60 questions
Exam Fee
The exam fee is $165 USD.
Exam Validity
The CCRN-Pediatric certification is valid for 2 years.
Prior Certification
- Microsoft Certified: Azure AI Engineer Associate
Exam Format
The Designing and Implementing a Microsoft Azure AI Solution exam is a Multiple-choice, drag-and-drop, and case study questions
Passing Conditions
To pass Designing and Implementing a Microsoft Azure AI Solution exam, applicants must achieve a minimum score of Pass the exam by achieving a score of 700 (out of 1000)
Who Should Take
Cloud engineers, data scientists, AI engineers, and developers interested in designing and implementing AI solutions on Azure.
- Cloud Engineer
- Data Scientist
- AI Engineer
- Developer
Prerequisites
2+ years of experience in a specific technical area, with a focus on AI, machine learning, and cloud computing.
Or can substitute with certifications:
- Microsoft Certified: Azure AI Engineer Associate (certification not specified)
- Microsoft Certified: Azure Developer Associate (certification not specified)
Certification Process
- Register for the exam on the Microsoft website or through a testing center.
- Prepare for the exam by studying the required materials, such as the exam guide and related courses.
- Take the exam, and demonstrate your ability to design, implement, and manage AI solutions on Azure.
Domains with Weights
- Design and Implement AI Solutions on Azure (40%): Design and implement AI solutions on Azure, including Azure Machine Learning, Azure AI, and Azure Cognitive Services.
- Implement and Deploy AI Models (30%): Implement and deploy AI models, including Azure Machine Learning, Azure Databricks, and Azure Kubernetes Service.
- Monitor and Maintain AI Solutions (30%): Monitor and maintain AI solutions, including Azure Monitor, Azure Log Analytics, and Azure Policy.
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