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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.
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Microsoft AI-102 is a certification exam that is designed to test the skills of professionals in designing and implementing AI solutions on the Microsoft Azure platform. AI-102 exam is targeted towards developers, data scientists, and AI engineers who have experience working with Azure technologies and want to validate their expertise in designing and implementing AI solutions.
NEW QUESTION # 25
You have a factory that produces cardboard packaging for food products. The factory has intermittent internet connectivity.
The packages are required to include four samples of each product.
You need to build a Custom Vision model that will identify defects in packaging and provide the location of the defects to an operator. The model must ensure that each package contains the four products.
Which project type and domain should you use? To answer, drag the appropriate options to the correct targets.
Each option 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:
Explanation
NEW QUESTION # 26
Hotspot Question
You have a chatbot that uses the Azure AI Language custom question answering service.
You need to test the chatbot. The solution must ensure that the chatbot responds only when an answer has a confidence score of at least 95 percent.
How should you complete the cURL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Reference:
https://learn.microsoft.com/en-sg/answers/questions/1404996/pva-chabot-with-azure-language- studio
NEW QUESTION # 27
You are building a retail kiosk system that will use a custom neural voice. You acquire audio samples and consent from the voice talent. You need to create a voice talent profile. What should you upload to the profile?
Answer: A
NEW QUESTION # 28
You are developing an application that will use the Computer Vision client library. The application has the following code.
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:
The code will perform face recognition # No
The code will list tags and their associated confidence # Yes
The code will read a file from the local file system # Yes
The given method uses the Computer Vision client library:
* It specifies the features:
* List < VisualFeatureTypes > features = new List < VisualFeatureTypes > ()
* {
* VisualFeatureTypes.Description,
* VisualFeatureTypes.Tags,
* };
That means it will return descriptions (captions) and tags from the image.
* The image is opened from the local file system:
* using (Stream imageStream = File.OpenRead(localImage))
* The analysis call:
* ImageAnalysis results = await client.AnalyzeImageInStreamAsync(imageStream, features);
* It prints captions and tags with their confidence values.
* "The code will perform face recognition."
* No.
* The requested features are Description and Tags , not Faces .
* Face recognition would require VisualFeatureTypes.Faces .
* "The code will list tags and their associated confidence."
* Yes.
* The foreach (var tag in results.Tags) loop outputs tag name and confidence.
* "The code will read a file from the local file system."
* Yes.
* It uses File.OpenRead(localImage) which reads from disk.
Statement Analysis
* The code will perform face recognition # No
* The code will list tags and their associated confidence # Yes
* The code will read a file from the local file system # Yes
Final Answer
* Analyze an image with the Computer Vision API
* VisualFeatureTypes enum reference
Microsoft References
NEW QUESTION # 29
You are using a Language Understanding service to handle natural language input from the users of a web-based customer agent.
The users report that the agent frequently responds with the following generic response: "Sorry, I don't understand that." You need to improve the ability of the agent to respond to requests.
Which three 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. (Choose three.)
Answer:
Explanation:
Step 1: Add prebuilt domain models as required.
Prebuilt models provide domains, intents, utterances, and entities. You can start your app with a prebuilt model or add a relevant model to your app later.
Note: Language Understanding (LUIS) provides prebuilt domains, which are pre-trained models of intents and entities that work together for domains or common categories of client applications.
The prebuilt domains are trained and ready to add to your LUIS app. The intents and entities of a prebuilt domain are fully customizable once you've added them to your app.
Step 2: Enable active learning
To enable active learning, you must log user queries. This is accomplished by calling the endpoint query with the log=true querystring parameter and value.
Step 3: Train and republish the Language Understanding model
The process of reviewing endpoint utterances for correct predictions is called Active learning. Active learning captures endpoint queries and selects user's endpoint utterances that it is unsure of. You review these utterances to select the intent and mark entities for these real-world utterances. Accept these changes into your example utterances then train and publish. LUIS then identifies utterances more accurately.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-review-endpoint-utterances#log-user-
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-prebuilt-model
NEW QUESTION # 30
......
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