Less time but more efficient

When it comes to the time and efficiency, we get that data that the average time spent by former customers are 20 to 30 hours. The advantage is that you do not need to queue up but to get AI-102 exam study material within 10 minutes. Besides, we provide new updates of the Microsoft AI-102 exam study material lasting for one year after you place your order, which means you can master the new test points based on real test. Even if we postulate that you fail the test, do not worry about it. We will return your full refund once you send your failed transcript to us. We wish you unaffected pass the test luckily.

Valid contents of AI-102 exam study material

As you know, we always act as a supporting role. The AI-102 exam study material have sizable quantity of the contents for your practice compiled over past years by professional experts including essential points of the test and give you a real test environmental experiences. There are ubiquitous study materials in the market, but what made us unique and gain the excellent reputation is the accuracy of the AI-102 exam study material. Many former customers who appreciated us that they have cleared their barriers on the road and difficulties, and passed the test with the help of our Azure AI Engineer Associate AI-102 exam study material. The passing rate has reached up to 95 to 100 percent.

So the test is not a hard nut to crack as long as you choose our AI-102 exam study material. We will help you and conquer your difficulties during your preparation. To the new exam candidates, it is the best way for you to hold more information.

Harmonious relationship with former customers

We have so many customers covering many countries around the world. We build close relationships with them for they trust us even more after using the effective AI-102 exam study material than before. And the numbers are still expanding. We provide preferential treatment to your second purchase. All contents are with great proximity to AI-102 actual test to satisfy your eagerness to success.

Microsoft AI-102 braindumps Instant Download: Our system will send you the AI-102 braindumps file you purchase in mailbox in a minute after payment. (If not received within 12 hours, please contact us. Note: don't forget to check your spam.)

Nowadays, a widespread phenomenon appears that the quantity of talents is growing dramatically, but many companies are facing the situation of workforce shortage. It is because that we do not have enough outstanding and superior workers to handle the business and make contributions to the company. Actually, being qualified by AI-102 certification of area is an effective way to help you stand out. So we suggest that you should hold the opportunity by using our AI-102 exam study material of great use. Let us take a succinct look of the features of the AI-102 exam study material.

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

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

Map security requirements to tools, technologies, and processes

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

2. Design AI solutions (40-45%)

Design solutions that include one or more pipelines

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

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

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

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
• Implement data logging processes
• Define and construct interfaces for custom AI services
• Develop streaming solutions

Integrate AI services with solution components

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

Monitor and evaluate the AI environment

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

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

Representative types of AI-102 study material

There are three versions for your convenience and to satisfy the needs of modern internet users: PDF & Software & APP version. AI-102 pdf practice material is legible to read and remember. AI-102 soft practice material can provide simulation test system and numerous times of setup with no restriction. AI-102 online test engine is suitable to all kinds of equipment or digital devices. But if you prefer paper version or you are not accustomed to use digital devices to practice examination questions, AI-102 pdf study material are supportive to printing requests. As long as you practice with our exam study material regularly, which will enable you to get the certificate as your wish.

Prerequisites

Before enrolling in the process of taking the AI-102 exams, candidates should be skilled in implementing Python and C#, using APIs and SDKs based on REST to create natural language processing solutions, computer vision solutions, and knowledge mining and communicative AI solutions based on Azure. In addition, such specialists should be knowledgeable of the elements that create the Azure AI portfolio as well as the data storage options. To add more, they should be able to implement AI principles appropriately.

Microsoft AI-102 Exam Syllabus Topics: