Bright future

After you use AI-102日本語 exam materials: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) and pass the exam successfully, you will receive an internationally certified certificate. After that, you will get a lot of promotion opportunities. You must be very clear about what this social opportunity means! In other words, AI-102日本語 study materials can help you gain a higher status and salary. With a higher status, your circle of friends will expand. You will become friends with better people. With higher salary, you can improve your quality of life. The future is really beautiful, but now, taking a crucial step is even more important! Buy AI-102日本語 exam prep and stick with it. You can get what you want! You must believe that no matter what you do, as long as you work hard, there is no unsuccessful. AI-102日本語 study materials are here waiting for you!

Schedule exam

Languages: English, Japanese, Chinese (Simplified), Korean

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.

For candidates that are aiming to develop their skills in building, operating, and deploying AI solutions with the help of such services as Azure Applied AI services and Azure Cognitive Services, the best variant is to pass the Microsoft AI-102 exam. This exam is all about designing and applying a Microsoft Azure AI Solution, and leads to getting the Microsoft Certified: Azure AI Engineer Associate certification.

Passing this exam implies that certified candidates are able to participate in all stages of AI solutions development from defining requirements to performance tuning and monitoring. These professionals cooperate with solution architects, as well as with data engineers and scientists, AI developers to show their vision and create comprehensive AI solutions.

If you are not aware of your problem, please take a good look at the friends around you! Now getting an international certificate has become a trend. If you do not hurry to seize the opportunity, you will be far behind others! Now the time cost is so high, choosing AI-102日本語 exam prep will be your most efficient choice. You can pass the exam in the shortest possible time to improve your strength. You want these, AI-102日本語 exam materials: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) can help you get. Go against the water and retreat if you fail to enter. The pressure of competition is so great now. If you are not working hard, you will lose a lot of opportunities! There is no time, quickly purchase AI-102日本語 study materials, pass the exam! Come on!

Very high passing rate

You know, the time is very tight now. You must choose a guaranteed product. AI-102日本語 study materials have a 99% pass rate. This will definitely give you more peace of mind when choosing our products. In today's society, everyone is working very hard. If you want to walk in front of others, you must be more efficient. After 20 to 30 hours of studying AI-102日本語 exam materials: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版), you can take the exam. You hardly have to worry about whether or not you can pass. Many users of AI-102日本語 exam prep can use your own achievements to prove to you that under the guidance of AI-102日本語, you must pass the exam. Don't hesitate anymore. What you should treasure now is time!

How to book the AI-102: Designing and Implementing an Azure AI Solution Exam

These are following steps for registering the AI-102: Designing and Implementing an Azure AI Solution exam.

• Step 1: Visit to Microsoft Learning and search for AI-102: Developing Solutions for Microsoft Azure.
• Step 2: Sign up/Login to Pearson VUE account
• Step 3: Select local centre based on your country, date, time and confirm with a payment method.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102

Early trial

If you are now determined to go to research, there is still a little hesitation in product selection. AI-102日本語 exam prep offers you a free trial version! You can choose one or more versions that you are most interested in, and then use your own judgment. AI-102日本語 exam materials: Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) really hope that every user can pick the right product for them. If you really lack experience, you do not know which one to choose. You can consult our professional staff. Combined with your specific situation and the characteristics of our products, they will recommend the most suitable version of AI-102日本語 study materials for you. We introduce a free trial version because we want users to see our sincerity. AI-102日本語 exam prep sincerely hopes that you can achieve your goals and realize your dreams.

Topics of AI-102: Designing and Implementing an Azure AI Solution Exam

Candidates should apprehend the examination topics before they begin of preparation. because it'll extremely facilitate them in touch the core. Our AI-102 exam dumps will include the following topics:

1. Analyze solution requirements (25-30%)

Recommend Cognitive Services APIs to meet business requirements

• Select the appropriate data processing technologies
• Identify components and technologies required to connect service endpoints
• Select the appropriate AI models and services
• Select the processing architecture for a solution
• Identify automation requirements

Map security requirements to tools, technologies, and processes

• Identify appropriate tools for a solution
• Identify auditing requirements
• Identify which users and groups have access to information and interfaces
• Identify processes and regulations needed to conform with data privacy, protection, and regulatory requirements

Select the software, services, and storage required to support a solution

• Identify integration points with other Microsoft services
• Identify storage required to store logging, bot state data, and Cognitive Services output
• Identify appropriate services and tools for a solution

2. Design AI solutions (40-45%)

Design solutions that include one or more pipelines

• Design pipelines that use AI apps
• Design a strategy for ingest and egress data
• Design pipelines that call Azure Machine Learning models
• Select an AI solution that meet cost constraints
• Define an AI application workflow process
• Design the integration point between multiple workflows and pipelines

Design solutions that uses Cognitive Services

• Design solutions that use vision, speech, language, knowledge, search, and anomaly detection APIs

Design solutions that implement the Bot Framework

• Design bots that integrate with channels
• Integrate bots and AI solutions
• Design bot services that use Language Understanding (LUIS)
• Integrate bots with Azure app services and Azure Application Insights

Design the compute infrastructure to support a solution

• Select a compute solution that meets cost constraints
• Identify whether to create a GPU, FPGA, or CPU-based solution
• Identify whether to use a cloud-based, on-premises, or hybrid compute infrastructure

Design for data governance, compliance, integrity, and security

• Define how users and applications will authenticate to AI services
• Design a content moderation strategy for data usage within an AI solution
• Ensure appropriate governance of data
• Ensure that data adheres to compliance requirements defined by your organization
• Design strategies to ensure that the solution meets data privacy regulations and industry standards

3. Implement and monitor AI solutions (25-30%)

Implement an AI workflow

• Develop AI pipelines
• Create solution endpoints
• Manage the flow of data through the solution components
• Develop streaming solutions
• Define and construct interfaces for custom AI services
• Implement data logging processes

Integrate AI services with solution components

• Configure prerequisite components and input datasets to allow the consumption of Cognitive Services APIs
• Configure integration with Cognitive Services
• Implement Azure Search in a solution
• Configure prerequisite components to allow connectivity to the Bot Framework

Monitor and evaluate the AI environment

• Recommend changes to an AI solution based on performance data
• Identify the differences between KPIs, reported metrics, and root causes of the differences
• Identify the differences between expected and actual workflow throughput
• Monitor AI components for availability
• Maintain an AI solution for continuous improvement