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You have an Azure loT hub that receives series data from machinery. You need to build an app that will perform the following actions:

• Perform anomaly detection across multiple correlated sensors

• Identify the root cause of process stops.

• Send incident alerts

The solution must minimize development time. Which Azure service should you use?

A.
Azure Metrics Advisor
A.
Azure Metrics Advisor
Answers
B.
Form Recognizer
B.
Form Recognizer
Answers
C.
Azure Machine teaming
C.
Azure Machine teaming
Answers
D.
Anomaly Detector
D.
Anomaly Detector
Answers
Suggested answer: D

You build a language model by using Conversational Language Understanding. The language model is used to search for information on a contact list by using an intent named Findcontact. A conversational expert provides you with the following list of phrases to use for training

• Find contacts in London.

• Who do I know in Seattle?

• Search for contacts m Ukraine.

You need to implement the phrase list in Conversational Language Understanding.

Solution: You create a new utterance for each phrase in the FindContact intent.

Does this meet the goal?

A.
Yes
A.
Yes
Answers
B.
No
B.
No
Answers
Suggested answer: B

You develop a Conversational Language Undemanding model by using Language Studio

During testing, users receive incorrect responses to requests that do NOT relate to the capabilities of the model. You need to ensure that the model identifies spurious requests.

What should you do?

A.
Enable active learning.
A.
Enable active learning.
Answers
B.
Add examples to the custom intents.
B.
Add examples to the custom intents.
Answers
C.
Add examples to the None intent
C.
Add examples to the None intent
Answers
D.
Add entities.
D.
Add entities.
Answers
Suggested answer: A

You have an Azure Cognitive Search instance that indexes purchase orders by using Form Recognizer

You need to analyze the extracted information by using Microsoft Power Bl. The solution must minimize development effort.

What should you add to the indexer?

A.
a table projection
A.
a table projection
Answers
B.
a projection group
B.
a projection group
Answers
C.
an object projection
C.
an object projection
Answers
D.
a file projection
D.
a file projection
Answers
Suggested answer: C

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?

A.
Add follow-up prompts.
A.
Add follow-up prompts.
Answers
B.
Enable active learning.
B.
Enable active learning.
Answers
C.
Add alternate questions.
C.
Add alternate questions.
Answers
D.
Enable chit-chat.
D.
Enable chit-chat.
Answers
Suggested answer: A

You need to measure the public perception of your brand on social media by using natural language processing. Which Azure service should you use?

A.
Content Moderator
A.
Content Moderator
Answers
B.
Form Recognizer
B.
Form Recognizer
Answers
C.
Computer Vision
C.
Computer Vision
Answers
D.
Language service
D.
Language service
Answers
Suggested answer: D

You need to measure the public perception of your brand on social media by using natural language processing. Which Azure service should you use?

A.
Content Moderator
A.
Content Moderator
Answers
B.
Form Recognizer
B.
Form Recognizer
Answers
C.
Computer Vision
C.
Computer Vision
Answers
D.
Language service
D.
Language service
Answers
Suggested answer: D

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.

Which Language service API is used 10 analyze the Text?

A.
Entity Linking
A.
Entity Linking
Answers
B.
Named Entity Recognition
B.
Named Entity Recognition
Answers
C.
Key Phrase Extraction
C.
Key Phrase Extraction
Answers
D.
Sentiment Analysis
D.
Sentiment Analysis
Answers
Suggested answer: B

You are building a Conversational Language Understanding model.

You need to ensure that the model will support the following sample utterances:

- Set all the lights to on.

- Turn off the lights in the living room.

- What is the current thermostat temperature?

- Lower the temperature of the thermostat by five degrees.

Which three elements should you add to the model?

Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A.
a location Intent
A.
a location Intent
Answers
B.
a change setting entity
B.
a change setting entity
Answers
C.
a device intent
C.
a device intent
Answers
D.
a change setting intent
D.
a change setting intent
Answers
E.
a query setting intent
E.
a query setting intent
Answers
F.
a device entity
F.
a device entity
Answers
Suggested answer: B, C, F

You are building a social media extension that will convert text to speech. The solution must meet the following requirements:

- Support messages of up to 400 characters.

- Provide users with multiple voice options.

- Minimize costs.

You create an Azure Cognitive Services resource.

Which Speech API endpoint provides users with the available voice options?

A.
https://uksouth.customvoice.apispeech.microsoft.eom/api/texttospeech/v3.0/longaudiosynthesis/voices
A.
https://uksouth.customvoice.apispeech.microsoft.eom/api/texttospeech/v3.0/longaudiosynthesis/voices
Answers
B.
https://uksouth.tts.speech.microsoft.conT/cognitiveservices/voices/list
B.
https://uksouth.tts.speech.microsoft.conT/cognitiveservices/voices/list
Answers
C.
https://uksouth.voice.speech.microsoft.com/cognitiveservices/v1?deploymentld={deploymentld>
C.
https://uksouth.voice.speech.microsoft.com/cognitiveservices/v1?deploymentld={deploymentld>
Answers
D.
https://uksouth.api.cognitive.microsoft.eom/speechtotext/v3.0/models/base
D.
https://uksouth.api.cognitive.microsoft.eom/speechtotext/v3.0/models/base
Answers
Suggested answer: C
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