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Microsoft AI-900, also known as the Microsoft Azure AI Fundamentals Certification Exam, is an entry-level certification exam that is designed for individuals who are interested in understanding the basics of artificial intelligence (AI) and how it can be applied in the Microsoft Azure cloud platform. AI-900 Exam is ideal for individuals who are interested in pursuing a career in AI or data science, as well as professionals who are looking to broaden their knowledge of AI and its applications.
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Apart from the training endorsed by the certification vendor, itโs a good idea to exhaust the study guides from Amazon. Thus, hereโs what you need to know about the two must-have revision books for the Microsoft AI-900 certification exam prep:
This book is a collection of skills and knowledge from a team of AI and Azure specialists with countless years of experience in the field. It is written by Microsoft Azure MVPs including Leila Etaati, Anupama Natarajan, Ashraf Ghonaim, Cameron Vetter, David Rendon, etc. who used their cumulative years of experience to design a definitive study guide and a solution for all trainees preparing for AI-900 exam. The authors state it categorically that this book does not intend to cover everything thereโs to know about Microsoft AI. And that it is important to combine it with other study materials to have a better chance of passing the Microsoft AI-900 Exam. In a nutshell, this guide targets AI and ML developers, architects, data scientists, .net developers, and consultants who are already familiar with the foundational AI concepts. Remember it is not your best guide if you are starting from a zero, but an excellent choice if you are already familiar with most of the concepts in this field.
This guide by David Voss is based on the current test curriculum and targets trainees looking to gain foundational knowledge of the AI solutions and services on Azure. It comprises practice test questions and explanations that are consistent with Microsoftโs online learning tools. So, if you want to prepare with confidence and pass your exam easily, get your Kindle copy today from Amazon for only around $12.
NEW QUESTION # 182
You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers.
Which two AI service should you use to achieve the goal? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
Section: Describe features of conversational AI workloads on Azure
Explanation:
Bots are a popular way to provide support through multiple communication channels. You can use the QnA Maker service and Azure Bot Service to create a bot that answers user questions.
Reference:
https://docs.microsoft.com/en-us/learn/modules/build-faq-chatbot-qna-maker-azure-bot-service/
NEW QUESTION # 183
What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
Section: Describe features of computer vision workloads on Azure
Explanation:
B: Identify commercial brands in images or videos from a database of thousands of global logos. You can use this feature, for example, to discover which brands are most popular on social media or most prevalent in media product placement.
C: Analyze color usage within an image. Computer Vision can determine whether an image is black & white or color and, for color images, identify the dominant and accent colors.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview
NEW QUESTION # 184
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Explanation
To perform real-time inferencing, you must deploy a pipeline as a real-time endpoint.
Real-time endpoints must be deployed to an Azure Kubernetes Service cluster.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer#deploy
NEW QUESTION # 185
Which Azure OpenAI model should you use to summarize the text from a document?
Answer: D
Explanation:
According to the Microsoft Learn documentation and the Azure AI Fundamentals (AI-900) study guide, the GPT (Generative Pre-trained Transformer) family of models within Azure OpenAI Service is used for text- based natural language tasks, including summarization, content generation, and text completion.
When you need to summarize text from a document, GPT models (such as GPT-3.5 or GPT-4) can process large sections of text, extract the most relevant details, and generate concise summaries that retain the key meaning. The summarization task uses the model's natural language understanding capabilities to identify core concepts and generate human-like, coherent text.
Other options are incorrect:
* A. Whisper # Used for speech-to-text transcription, not text summarization.
* B. DALL-E # Generates images from text prompts, not text summaries.
* C. Codex # Specializes in code generation and completion, not document summarization.
NEW QUESTION # 186
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Graphical user interface, text, application Description automatically generated
Reference:
https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/conversational-bot
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-webchat-overview?view=azure-bot-service-4.0
NEW QUESTION # 187
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