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The preparation process for the exam is a vital step on your way of passing the test, that’s why you need to find the most actual and reliable resources. Microsoft offers two options for you to choose from online free training or instructor-led, which is a paid one. For example, the free training represents a collection of learning paths each of which contains the different number of modules, from one to five. Thus, you can choose which ones to follow: Prepare for AI engineering (1 module), Process and Translate Speech with Azure Cognitive Speech Services (2 modules), Create computer vision solutions with Azure Cognitive Services (3 modules), to name a few. The paid course is known to be Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution and lasts for 4 days. It is intended for software developers interested in developing skills to build AI infused apps that use Azure Cognitive Search and Services, and Microsoft Bot Framework.
In addition, you can check the Amazon website to find the books on the topics included in the exam to ace it from the first attempt. Only after the successful passing the AI-102 Exam you will earn the Microsoft Certified: Azure AI Engineer Associate certification. So, good luck!
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The AI-102 Certification Exam is a great way for individuals to demonstrate their expertise in designing and implementing AI solutions on the Microsoft Azure platform. AI-102 exam consists of several topics, including the fundamentals of AI and machine learning, data preparation, model development and deployment, and monitoring and optimization. Candidates are required to have a deep understanding of each of these topics to pass the exam.
NEW QUESTION # 33
You have the following C# method for creating Azure Cognitive Services resources programmatically.
You need to call the method to create a free Azure resource in the West US Azure region. The resource will be used to generate captions of images automatically.
Which code should you use?
Answer: C
Explanation:
https://azure.microsoft.com/en-us/pricing/details/cognitive-services/computer-vision/
NEW QUESTION # 34
You are building a customer support chatbot.
You need to configure the bot to identify the following:
* Code names for internal product development
* Messages that include credit card numbers
The solution must minimize development effort.
Which Azure Cognitive Service for Language feature should you use for each requirement? To answer, drag the appropriate features to the correct requirements. Each feature may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 35
You have a computer that contains the files shown in the following table.
Which files can you upload and analyze by using Azure Al Video Indexer?
Answer: E
Explanation:
Azure AI Video Indexer (VI) imposes limits on both file duration and file size:
Duration: Up to 6 hours for all presets; Basic Audio preset supports up to 12 hours.
Size: When uploading from your device, the limit is 2 GB (uploading by URL allows up to 30 GB).
Formats: MP4, AVI (video) and MP3 (audio codec/file) are supported.
Evaluating each file:
File1 - MP4, 34 mins, 1,500 MB: Within 6-hour duration and under 2 GB # Supported.
File2 - AVI, 500 mins (#8h20m), 1,700 MB: Exceeds the 6-hour limit # Not supported.
File3 - MP3, 300 mins (5h), 980 MB: Under 6 hours (and also under the 12-hour Basic Audio limit) and under 2 GB # Supported.
File4 - MP4, 350 mins (#5h50m), 2,800 MB: Duration is under 6 hours but size exceeds 2 GB for device uploads # Not supported (unless uploaded by URL, which the question doesn't state).
Therefore, the files you can upload and analyze (under standard device upload constraints) are File1 and File3 only.
Microsoft References
Support matrix & limits - file duration (6h for all presets; 12h for Basic Audio), device upload size limit 2 GB; supported formats (MP4, AVI, WAV, etc.) and audio codecs including MP3. Microsoft Learn Release notes - increase of duration limit from 4h to 6h (and 12h for Basic Audio). Microsoft Learn Upload guidance - device upload 2 GB vs 30 GB via URL.
NEW QUESTION # 36
You have a chatbot that uses a QnA Maker application.
You enable active learning for the knowledge base used by the QnA Maker application.
You need to integrate user input into the model.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
1 - For the knowledge base, select Show active learning suggestions.
2 - Approve and reject suggestions.
3 - Save and train the knowledge base.
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/improve-knowledge-base
NEW QUESTION # 37
You are building a chatbot by using the Microsoft Bot Framework SDK.
You use an object named UserProfile to store user profile information and an object named ConversationData to store information related to a conversation.
You create the following state accessors to store both objects in state.
var userStateAccessors = _userState.CreateProperty<UserProfile>(nameof(UserProfile)); var conversationStateAccessors =
_conversationState.CreateProperty<ConversationData>(nameof(ConversationData)); The state storage mechanism is set to Memory Storage.
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: Yes
You create property accessors using the CreateProperty method that provides a handle to the BotState object.
Each state property accessor allows you to get or set the value of the associated state property.
Box 2: Yes
Box 3: No
Before you exit the turn handler, you use the state management objects' SaveChangesAsync() method to write all state changes back to storage.
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-v4-state
NEW QUESTION # 38
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