VALID AI-102 TEST BLUEPRINT | AI-102 VALID TEST SIMULATOR

Valid AI-102 Test Blueprint | AI-102 Valid Test Simulator

Valid AI-102 Test Blueprint | AI-102 Valid Test Simulator

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With vast experience in this field, ExamCost always comes forward to provide its valued customers with authentic, actual, and genuine AI-102 exam dumps at an affordable cost. All the AI-102 questions given in the product are based on actual examination topics. ExamCost regularly updates AI-102 Practice Exam material to ensure that it keeps in line with the test. In the same way, ExamCost provides a free demo before you purchase so that you may know the quality of the AI-102 dumps.

Microsoft AI-102 certification exam is an excellent way for professionals to demonstrate their knowledge and skills in designing and implementing Microsoft Azure AI solutions. AI-102 exam covers a wide range of topics related to AI and requires candidates to have experience in developing and deploying AI solutions on the Azure platform. Designing and Implementing a Microsoft Azure AI Solution certification is an essential step for professionals who want to advance their careers in the field of AI and stay up-to-date with the latest trends and technologies.

In order to prepare for the AI-102 Certification Exam, candidates can take advantage of a number of resources provided by Microsoft. This includes online courses, practice exams, and study guides. Additionally, candidates can gain hands-on experience by working on real-world AI projects on the Azure platform. By combining theoretical knowledge with practical experience, candidates can ensure they are fully prepared to pass the exam and demonstrate their skills in designing and implementing AI solutions on Azure.

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AI-102 Valid Test Simulator | AI-102 Valid Real Exam

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q118-Q123):

NEW QUESTION # 118
You are reviewing the design of a chatbot. The chatbot includes a language generation file that contains the following fragment.
# Greet(user)
- ${Greeting()}, ${user.name}
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

Box 1: No
Example: Greet a user whose name is stored in `user.name`
- ${ welcomeUser(user.name) }
Example: Greet a user whose name you don't know:
- ${ welcomeUser() }
Box 2: No
Greet(User) is a Send a response action.
Box 3: Yes
Reference:
https://docs.microsoft.com/en-us/composer/how-to-ask-for-user-input


NEW QUESTION # 119
You have an Azure subscription that contains an Azure Al service resource named CSAccount1 and a virtual network named VNet1 CSAaccount1 is connected to VNet1 You need to ensure that only specific resources can access CSAccount1. The solution must meet the following requirements:
* Prevent external access to CSAccount1
* Minimize administrative effort
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct answer is worth one point.

  • A. In VNet1, create a virtual subnet.
  • B. In VNet1, modify the virtual network settings.
  • C. In CSAccount1, modify the virtual network settings.
  • D. In VNet1. enable a service endpoint for CSAccount1
  • E. In CSAccount1, configure the Access control (1AM) settings.

Answer: A,D


NEW QUESTION # 120
You build a custom Form Recognizer model.
You receive sample files to use for training the model as shown in the following table.

Which three files can you use to train the model? Each correct answer presents a complete solution. (Choose three.) NOTE: Each correct selection is worth one point.

  • A. File4
  • B. File3
  • C. File5
  • D. File6
  • E. File1
  • F. File2

Answer: B,D,E

Explanation:
Input requirements
Form Recognizer works on input documents that meet these requirements:
Format must be JPG, PNG, PDF (text or scanned), or TIFF. Text-embedded PDFs are best because there's no possibility of error in character extraction and location.
File size must be less than 50 MB.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/form-recognizer/overview


NEW QUESTION # 121
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:


NEW QUESTION # 122
You are creating an enrichment pipeline that will use Azure Cognitive Search. The knowledge store contains unstructured JSON data and scanned PDF documents that contain text.
Which projection type should you use for each data type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview


NEW QUESTION # 123
......

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