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To prepare for the Microsoft AI-102 Exam, candidates should have a solid understanding of Azure services, as well as experience in designing and implementing AI solutions. They should also be familiar with data science concepts, machine learning algorithms, and programming languages such as Python. Microsoft provides various resources for exam preparation, including online training courses, practice tests, and study guides. Candidates can also take advantage of the Microsoft Azure community to connect with other professionals and learn from their experiences.
Microsoft AI-102 Certification Exam is ideal for AI developers, data scientists, and solution architects who want to demonstrate their expertise in developing AI solutions on Azure. Candidates who pass this certification exam will be able to design and implement AI solutions that can process natural language, recognize images and sounds, and make predictions based on data. The AI-102 certification exam also covers topics such as data preparation, feature engineering, model selection, and deployment.
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Microsoft AI-102 Exam measures the candidate's ability to design and implement AI solutions that meet business requirements. It covers a wide range of topics, such as data preprocessing, feature engineering, model training, model deployment, and monitoring. Candidates should have a good understanding of machine learning algorithms, programming languages such as Python and R, and Azure services such as Azure Storage, Azure Kubernetes Service, and Azure Functions.
NEW QUESTION # 223
You develop a custom question answering project in Azure Cognitive Service for Language. The project will be used by a chatbot. You need to configure the project to engage in multi-turn conversations. What should you do?
Answer: B
NEW QUESTION # 224
You need to measure the public perception of your brand on social media messages. Which Azure Cognitive Services service should you use?
Answer: A
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 # 225
You are building an app that will process incoming email and direct email messages to either French or English language support teams.
Which Azure Cognitive Services API should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The task is to process incoming emails and route them to French or English support teams. This means we need to detect the language of each email.
Let's break it down:
Which Cognitive Service is needed?
Azure Text Analytics (part of Azure AI Language) provides a Language Detection API.
The Translator service is used for translation, not just detecting the original language. Since the requirement is only to decide whether to send emails to French or English teams, we just need to detect the language.
Endpoint selection
Text Analytics uses regional endpoints such as:
https:// < region > .api.cognitive.microsoft.com/
For example: eastus.api.cognitive.microsoft.com is valid.
api.cognitivemicrosofttranslator.com # incorrect (this is for Translator service).
portal.azure.com # Azure portal, not an API endpoint.
API Path selection
To detect language, you call:
/text/analytics/v3.1/languages
/text/analytics/v3.1/entities/recognition/general # entity recognition, not language.
/translator/text/v3.0/... # translation, not language detection.
Correct Answer Combination:
eastus.api.cognitive.microsoft.com
/text/analytics/v3.1/languages
Microsoft References
Text Analytics Language Detection API
Text Analytics REST API v3.1
NEW QUESTION # 226
You have an Azure subscription that contains an Azure OpenAI resource named AH and an Azure Al Content Safety resource named CS1.
You build a chatbot that uses All to provide generative answers to specific questions and CS1 to check input and output for objectionable content.
You need to optimize the content filter configurations by running tests on sample questions.
Solution: From Content Safety Studio, you use the Protected material detection feature to run the tests.
Does this meet the requirement?
Answer: A
Explanation:
"Protected material detection" in Content Safety is designed to flag model outputs that match copyrighted text/code (e.g., lyrics, articles, recipes, GitHub code).
It is not used to tune or test content filter configurations for safety categories like hate/sexual/violence/self-harm.
Therefore, it does not meet the requirement to optimize content filters by running tests on sample questions.
NEW QUESTION # 227
You have an Azure subscription that contains an Azure Al Content Safety resource named Resource1.
You create the following cURL command.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth point.
Answer:
Explanation:
Explanation:
The text value must use JSON-formatted text. No
The command will analyze inputted text and identify whether the text contains published song lyrics. Yes The Ocp-Apim-Subscription-Key value must contain the ID of the Azure subscription that hosts Resource1.
No
Comprehensive Detailed Explanation
The cURL calls the Protected Material detection endpoint:
POST {endpoint}/contentsafety/text:detectProtectedMaterial?api-version=2024-09-01.
This API expects a JSON body with a text property whose value is a plain string (the content to check). The body is JSON, but the text value itself is not required to be "JSON-formatted text"; it's just ordinary text inside a JSON payload. Hence, statement 1 is No . Microsoft Learn The Protected Material (text) feature "flags any known text content ... such as song lyrics , articles, recipes, and selected web content." Therefore, this command will analyze the input and can identify whether it contains published song lyrics. Statement 2 is Yes .
Ocp-Apim-Subscription-Key is the API (resource) key used to authenticate requests to Azure AI services or APIs fronted by API Management. It is not the Azure subscription ID . Authentication guidance explicitly states the header carries a resource key or token; API Management documentation identifies Ocp-Apim- Subscription-Key as the subscription key header. Therefore, statement 3 is No .
Microsoft Azure AI References
Detect Text Protected Material - REST API (endpoint, request/response schema): Microsoft Learn Protected material detection (concepts; includes song lyrics examples): Microsoft Learn What's new in Azure AI Content Safety (mentions protected material detection for lyrics): Microsoft Learn Azure AI services authentication (resource key in headers): Microsoft Learn API Management subscriptions (meaning of Ocp-Apim-Subscription-Key): Microsoft Learn
NEW QUESTION # 228
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