Test AI-102 Lab Questions - Reliable AI-102 Test Practice

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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.

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

Preparation of certification exams could be covered with two resource types . The first one are the study guides, reference books and study forums that are elaborated and appropriate for building information from ground up. Apart from them video tutorials and lectures are a good option to ease the pain of through study and are relatively make the study process more interesting nonetheless these demand time and concentration from the learner. Smart candidates who wish to create a solid foundation altogether examination topics and connected technologies typically mix video lectures with study guides to reap the advantages of each but practice exams or practice exam engines is one important study tool which goes typically unnoted by most candidates. Practice exams are designed with our experts to make exam prospects test their knowledge on skills attained in course, as well as prospects become comfortable and familiar with the real exam environment. Statistics have indicated exam anxiety plays much bigger role of students failure in exam than the fear of the unknown. ITCertMagic expert team recommends preparing some notes on these topics along with it don't forget to practice AI-102 exam dumps which had been written by our expert team, each of these can assist you loads to clear this exam with excellent marks.

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100% Pass 2026 Microsoft AI-102: Designing and Implementing a Microsoft Azure AI Solution Useful Test Lab Questions

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q381-Q386):

NEW QUESTION # 381
You are developing a new sales system that will process the video and text from a public-facing website.
You plan to notify users that their data has been processed by the sales system.
Which responsible AI principle does this help meet?

Answer: B

Explanation:
"When an AI application relies on personal data, such as a facial recognition system that takes images of people to recognize them; you should make it clear to the user how their data is used and retained, and who has access to it." from: https://docs.microsoft.com/en-us/learn/paths/prepare-for-ai-engineering/


NEW QUESTION # 382
You are developing a solution for the Management-Bookkeepers group to meet the document processing requirements. The solution must contain the following components:
* A form Recognizer resource
* An Azure web app that hosts the Form Recognizer sample labeling tool
The Management-Bookkeepers group needs to create a custom table extractor by using the sample labeling tool.
Which three actions should the Management-Bookkeepers group perform in sequence? To answer, move the appropriate cmdlets from the list of cmdlets to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:
Step 1: Create a new project and load sample documents
Create a new project. Projects store your configurations and settings.
Step 2: Label the sample documents
When you create or open a project, the main tag editor window opens.
Step 3: Train a custom model.
Finally, train a custom model.
Reference:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/label-tool


NEW QUESTION # 383
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:
Data Analyst.
When dealing with data roles in an organization, responsibilities are divided among data analysts, data engineers, and data scientists. Let's review them:
* Data Analyst
* Focuses on understanding business requirements and ensuring that the right rules and logic are applied to data so it becomes meaningful for decision-making.
* They work closely with stakeholders to define business rules such as data validation rules, aggregation logic, and reporting metrics.
* This makes them responsible for identifying which business rules must be applied to data.
* Data Engineer
* Responsible for designing, building, and maintaining the infrastructure and pipelines that move and process data.
* They ensure data availability, reliability, and scalability, but do not usually define business rules.
* Data Scientist
* Focuses on advanced analytics, predictive modeling, and machine learning.
* They use data prepared by engineers and analysts but are not typically the ones who define the business rules that govern how raw data should be interpreted.
Therefore, the correct answer is Data Analyst.
A data analyst
* Data roles and responsibilities in Azure
* What is a Data Analyst?
* Responsibilities of Data Engineers vs Data Scientists vs Data Analysts Microsoft References


NEW QUESTION # 384
You have an Azure subscription. The subscription contains an Azure OpenAI resource that hosts a GPT-3.5 Turbo model named Model1.
You configure Model1 to use the following system message: "You are an Al assistant that helps people solve mathematical puzzles. Explain your answers as if the request is by a 4-year-old." Which type of prompt engineering technique is this an example of?

Answer: C


NEW QUESTION # 385
You have a Language service resource that performs the following:
* Sentiment analysis
* Named Entity Recognition (NER)
* Personally Identifiable Information (Pll) identification
You need to prevent the resource from persisting input data once the data is analyzed. Which query parameter in the Language service API should you configure?

Answer: B


NEW QUESTION # 386
......

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