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Microsoft AI-102 Certification Exam requires the candidate to have a strong background in programming languages such as Python and R. AI-102 exam also requires the candidate to have experience in developing and deploying AI models using Azure services. AI-102 exam is conducted online and consists of multiple-choice questions and case studies. The candidate must pass the exam to receive the certification.
Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) Certification Exam is a highly recognized and sought-after certification for professionals who are interested in AI and want to work with Azure AI solutions. Designing and Implementing a Microsoft Azure AI Solution certification exam is designed to test the knowledge and skills required to design and implement AI solutions using Azure services. It is an advanced level exam that requires the candidate to have a deep understanding of AI and Azure services.
NEW QUESTION # 179
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 # 180
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 181
You need to measure the public perception of your brand on social media messages. Which Azure Cognitive Services service should you use?
Answer: D
Explanation:
Text Analytics Cognitive Service could be used to quickly determine the public perception for a specific topic, event or brand.
Example: A NodeJS app which pulls Tweets from Twitter using the Twitter API based on a specified search term. Then pass these onto Text Analytics for sentiment scoring before storing the data and building a visualisation in PowerBI. The Architecture looked something like this:
Reference:
https://www.linkedin.com/pulse/measuring-public-perception-azure-cognitive-services-steve-dalai
NEW QUESTION # 182
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are building a chatbot that will use question answering in Azure Cognitive Service for Language.
You have a PDF named Doc1.pdf that contains a product catalogue and a price list You upload Doc1.pdf and train the model.
During testing, users report that the chatbot responds correctly to the following question: What is the price of
< product > ?
The chatbot fails to respond to the following question: How much does < product > cost?
You need to ensure that the chatbot responds correctly to both questions.
Solution: From Language Studio, you add alternative phrasing to the question and answer pair, and then retrain and republish the model.
Does this meet the goal?
Answer: B
Explanation:
In Question Answering (Custom question answering in Azure AI Language), you improve coverage for different user phrasings by adding alternative questions to the same answer. For example, adding "How much does < product > cost?" as an alternate question to the existing Q/A about "What is the price of < product > ?" enables the service to match both user queries to the same answer. After adding alternates, you must retrain and republish the project for changes to take effect. This directly addresses the gap and meets the goal.
References
Add and manage alternative questions in custom question answering; retrain/republish for updates.
https://learn.microsoft.com/azure/ai-services/language-service/question-answering/how-to/contribute-to-project
Custom question answering concepts and authoring workflow.
https://learn.microsoft.com/azure/ai-services/language-service/question-answering/overview
NEW QUESTION # 183
Your company needs to implement a relational database in Azure. The solution must minimize ongoing maintenance.
Which Azure service should you use?
Answer: B
NEW QUESTION # 184
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