One of their tasks is taking an interest in all periods of AI arrangement improvement—from prerequisites definition and plan to advancement, deployment, execution tuning, maintenance, and checking. They work with solution architects to convey their vision and construct total end-to-end AI solutions with analysts, designers, scientists, IoT experts, and AI engineers.
Candidates for this test ought to have the option to make system vision, natural language handling, information mining, and conversational AI solutions on Azure utilizing REST-based APIs and SDKs, as well as an understanding of all the components that help to make up the Azure AI portfolio, the available data storage options, and the ability to apply responsible AI principles. It has a $165 registration fee.
Designing and Implementing a Microsoft Azure AI Solution Practice Questions
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AI-102 FAQs
The AI-102 Exam centrally focuses on AI and machine learning concepts such as developing and deploying AI models using Azure Machine Learning, building solutions with Azure Cognitive Services, implementing natural language processing, computer vision, and understanding AI solution requirements and integration.
The exam evaluates skills in building AI solutions using Azure Cognitive Services by testing the ability to implement, customize, and integrate various cognitive services, such as language understanding, speech, and vision services, into applications to create intelligent, user-interactive solutions.
For the AI-102 Exam, a proficient level of expertise in Azure Bot Service is required. It involves understanding bot development, managing bot resources, integrating conversational AI capabilities, and deploying bots using Azure Bot Framework for effective user interactions and automation.
Yes, the exam includes questions on implementing computer vision solutions in Azure, focusing on utilizing Azure Cognitive Services for image and video analysis. It tests the ability to develop applications that can process visual data, recognize patterns, and extract actionable insights.
In the Azure AI Engineer AI-102 curriculum, IoT plays a significant role in demonstrating how AI integrates with IoT solutions. It covers implementing AI-driven analytics and processing on IoT data, and leveraging Azure services to build intelligent, interconnected IoT systems.
The AI-102 exam tests the integration of AI models into Azure cloud solutions by assessing skills in deploying and managing AI models using Azure Machine Learning, incorporating models into Azure services, and ensuring seamless interaction between AI components and cloud infrastructure.
The Microsoft AI-102 exam, known as Designing and Implementing a Microsoft Azure AI Solution, tests candidates' ability to build, manage, and deploy AI solutions that use Azure AI services like Cognitive Services, Cognitive Search, and Microsoft Bot Framework?.
With a Microsoft AI-102 certification, you can pursue roles such as Azure AI Engineer, AI Solutions Architect, Data Scientist, and AI Developer. These roles involve designing and implementing AI solutions using Azure AI services.
Certified Azure AI Engineers typically earn between $90,000 and $130,000 annually, depending on experience, location, and specific job roles.
Earning the AI-102 certification validates your expertise in Azure AI solutions, enhancing your professional credibility and making you more competitive in the job market. It can lead to higher earning potential and better job opportunities.
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Designing and Implementing a Microsoft Azure AI Solution Questions and Answers
You plan to use a Language Understanding application named app1 that is deployed to a container.
App1 was developed by using a Language Understanding authoring resource named lu1.
App1 has the versions shown in the following table.
You need to create a container that uses the latest deployable version of app1.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose three.)
You deploy a web app that is used as a management portal for indexing in Azure Cognitive Search. The app is configured to use the primary admin key.
During a security review, you discover unauthorized changes to the search index. You suspect that the primary access key is compromised.
You need to prevent unauthorized access to the index management endpoint. The solution must minimize downtime.
What should you do next?
You are developing an internet-based training solution for remote learners.
Your company identifies that during the training, some learners leave their desk for long periods or become distracted.
You need to use a video and audio feed from each learner’s computer to detect whether the learner is present and paying attention. The solution must minimize development effort and identify each learner.
Which Azure Cognitive Services service should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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