AI-102 Microsoft Azure AI Solution Practice Exam & Solution.

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AI-102: Microsoft Azure AI Solution, the cutting-edge technology that is revolutionizing the world of artificial intelligence. This innovative solution is designed to provide businesses with the tools they need to harness the power of AI and transform their operations. With its advanced features and capabilities, the AI-102 is the perfect solution for businesses looking to stay ahead of the curve and gain a competitive edge in today’s fast-paced digital landscape. AI-102 is built on the Microsoft Azure platform, which is known for its reliability, scalability, and security. This ensures that businesses can trust the AI-102 to deliver consistent and accurate results, even in the most demanding environments. The solution is also designed to be easy to use, with a user-friendly interface that makes it simple for businesses to get started with AI. One of the key features of the AI-102 is its ability to analyze large amounts of data quickly and accurately. This makes it ideal for businesses that need to process large volumes of data in real-time, such as those in the finance, healthcare, and retail industries. The solution also includes advanced machine learning algorithms that can learn from data and improve over time, making it even more powerful and effective. In addition to its advanced features, the AI-102 also comes with comprehensive support and training resources. This ensures that businesses can get the most out of the solution and achieve their goals quickly and efficiently. Whether you’re looking to improve customer service, optimize operations, or gain insights into your business, the AI-102 is the perfect solution for businesses of all sizes and industries. AI-102: Microsoft Azure AI Solution is a game-changing technology that is transforming the world of artificial intelligence. With its advanced features, reliability, and ease of use, the AI-102 is the perfect solution for businesses looking to stay ahead of the curve and gain a competitive edge. So why wait? Get started with the AI-102 today and take your business to the next level! Microsoft Azure AI Solution Exam Summary: Exam Name: Microsoft Azure AI Solution Exam Code: AI-102Exam Price: 165 (USD)Number of Questions: Maximum of 40-60 questions, Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based, Length of Test: 130 Minutes. The exam is available in English and Japanese languages. Passing Score: 700 / 1000Languages: English at launch. Japanese Schedule Exam: Pearson VUEMicrosoft AI-102 Exam Syllabus Topics: Plan and manage an Azure AI solution (25-30%)Select the appropriate Azure AI service Select the appropriate service for a vision solution Select the appropriate service for a language analysis solution Select the appropriate service for a decision support solution Select the appropriate service for a speech solution Select the appropriate Applied AI services Plan and configure security for Azure AI services Manage account keys Manage authentication for a resource Secure services by using Azure Virtual Networks Plan for a solution that meets Responsible AI principles Create and manage an Azure AI service Create an Azure AI resource Configure diagnostic logging Manage costs for Azure AI services Monitor an Azure AI resource Deploy Azure AI services Determine a default endpoint for a service Create a resource by using the Azure portal Integrate Azure AI services into a continuous integration/continuous deployment (CI/CD) pipeline Plan a container deployment Implement prebuilt containers in a connected environment Create solutions to detect anomalies and improve content Create a solution that uses Anomaly Detector, part of Cognitive Services Create a solution that uses Azure Content Moderator, part of Cognitive Services Create a solution that uses Personalizer, part of Cognitive Services Create a solution that uses Azure Metrics Advisor, part of Azure Applied AI Services Create a solution that uses Azure Immersive Reader, part of Azure Applied AI Services Implement image and video processing solutions (15-20%)Analyze images Select appropriate visual features to meet image processing requirements Create an image processing request to include appropriate image analysis features Interpret image processing responses Extract text from images Extract text from images or PDFs by using the Computer Vision service Convert handwritten text by using the Computer Vision service Extract information using prebuilt models in Azure Form Recognizer Build and optimize a custom model for Azure Form Recognizer Implement image classification and object detection by using the Custom Vision service, part of Azure Cognitive Services Choose between image classification and object detection models Specify model configuration options, including category, version, and compact Label images Train custom image models, including classifiers and detectors Manage training iterations Evaluate model metrics Publish a trained iteration of a model Export a model to run on a specific target Implement a Custom Vision model as a Docker container Interpret model responses Process videos Process a video by using Azure Video Indexer Extract insights from a video or live stream by using Azure Video Indexer Implement content moderation by using Azure Video Indexer Integrate a custom language model into Azure Video Indexer Implement natural language processing solutions (25-30%)Analyze text Retrieve and process key phrases Retrieve and process entities Retrieve and process sentiment Detect the language used in text Detect personally identifiable information (PII)Process speech Implement and customize text-to-speech Implement and customize speech-to-text Improve text-to-speech by using SSML and Custom Neural Voice Improve speech-to-text by using phrase lists and Custom Speech Implement intent recognition Implement keyword recognition Translate language Translate text and documents by using the Translator service Implement custom translation, including training, improving, and publishing a custom model Translate speech-to-speech by using the Speech service Translate speech-to-text by using the Speech service Translate to multiple languages simultaneously Build and manage a language understanding model Create intents and add utterances Create entities Train evaluate, deploy, and test a language understanding model Optimize a Language Understanding (LUIS) model Integrate multiple language service models by using Orchestrator Import and export language understanding models Create a question answering solution Create a question answering project Add question-and-answer pairs manually Import sources Train and test a knowledge base Publish a knowledge base Create a multi-turn conversation Add alternate phrasing Add chit-chat to a knowledge base Export a knowledge base Create a multi-language question answering solution Create a multi-domain question answering solution Use metadata for question-and-answer pairs Implement knowledge mining solutions (5-10%)Implement a Cognitive Search solution Provision a Cognitive Search resource Create data sources Define an index Create and run an indexer Query an index, including syntax, sorting, filtering, and wildcards Manage knowledge store projections, including file, object, and table projections Apply AI enrichment skills to an indexer pipeline Attach a Cognitive Services account to a skillset Select and include built-in skills for documents Implement custom skills and include them in a skillset Implement incremental enrichment Implement conversational AI solutions (15-20%)Design and implement conversation flow Design conversational logic for a bot Choose appropriate activity handlers, dialogs or topics, triggers, and state handling for a bot Build a conversational bot Create a bot from a template Create a bot from scratch Implement activity handlers, dialogs or topics, and triggers Implement channel-specific logic Implement Adaptive Cards Implement multi-language support in a bot Implement multi-step conversations Manage state for a bot Integrate Cognitive Services into a bot, including question answering, language understanding, and Speech service Test, publish, and maintain a conversational bot Test a bot using the Bot Framework Emulator or the Power Virtual Agents web app Test a bot in a channel-specific environment Troubleshoot a conversational bot Deploy bot logic AI-102: Microsoft Azure AI Solution Certification Practice Exam Benefits: AI-102 Microsoft Azure AI Solution Certification Practice Exam is a comprehensive and reliable tool designed to help individuals prepare for the Microsoft Azure AI Solution Certification exam. This practice exam offers a range of benefits to users, including the opportunity to assess their knowledge and skills in the field of AI, gain confidence in their abilities, and identify areas for improvement. With a focus on practical application and real-world scenarios, the AI-102 practice exam provides users with a realistic and challenging experience that closely mirrors the actual certification exam. This allows individuals to become familiar with the exam format, question types, and time constraints, enabling them to perform at their best on exam day. In addition to its practical benefits, the AI-102 practice exam is also an excellent resource for individuals seeking to enhance their professional credentials and advance their careers in the field of AI. By earning the Microsoft Azure AI Solution Certification, individuals can demonstrate their expertise and proficiency in designing and implementing AI solutions using Microsoft Azure technologies, opening up new opportunities for career growth and advancement. Overall, the AI-102 Microsoft Azure AI Solution Certification Practice Exam is an essential tool for anyone seeking to achieve certification in this rapidly growing field. With its comprehensive coverage, practical focus, and numerous benefits, this practice exam is an invaluable resource for individuals looking to take their AI skills and knowledge to the next level.