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NEW QUESTION 22
You have a web app that uses Azure Cognitive Search.
When reviewing billing for the app, you discover much higher than expected charges. You suspect that the query key is compromised.
You need to prevent unauthorized access to the search endpoint and ensure that users only have read only access to the documents collection. The solution must minimize app downtime.
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.
AI-102-8bb8b98fe26d03f7db5bf4048e112686.jpg

Answer:
Explanation:
AI-102-7382ba937e75b2fb604ac9f3a1708a38.jpg

1 - Add a new query key.
2 - Chnage the app to use the new key.
3 - Delete the compromised key.
Reference:

NEW QUESTION 23
You are examining the Language service output of an application.
The text analyzed is: Our tour guide took us up the Space Needle during our trip to Seattle last week.
The response contains the data shown in the following table.
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Which Language service API is used 10 analyze the Text?
  • A. Named Entity Recognition
  • B. Entity Linking
  • C. Sentiment Analysis
  • D. Key Phrase Extraction
Answer: A

NEW QUESTION 24
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.)
AI-102-6d70a85d13f799abb39a31e61f05f832.jpg

Answer:
Explanation:
AI-102-94223f29a5fb8d06ca60036670b8bd3f.jpg

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:

NEW QUESTION 25
You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images.
How should you complete the body of the HTTP request? To answer, drag the appropriate values to the correct targets. Each value 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.
AI-102-cc05e7b9834f2d39c728c95f49045f89.jpg

Answer:
Explanation:
AI-102-d61d85c2c92d989aa6eacd0bb8f6eed4.jpg

Reference:

NEW QUESTION 26
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