Question 1
Which AI service should you use to create a bot from a frequently asked questions (FAQ) document?
- A. QnA Maker
- B. Language Understanding (LUIS)
- C. Text Analytics
- D. Speech
Answer:
a
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Question 2
HOTSPOT To complete the sentence, select the appropriate option in the answer area.
Hot Area:
Answer:
Reliability and safety:
AI systems need to be reliable and safe in order to be trusted. It is important for a system to perform as it was originally designed and for it to respond safely to new situations. Its inherent resilience should resist intended or unintended manipulation. Rigorous testing and validation should be established for operating conditions to ensure that the system responds safely to edge cases, and A/B testing and champion/challenger methods should be integrated into the evaluation process.
An AI system's performance can degrade over time, so a robust monitoring and model tracking process needs to be established to reactively and proactively measure the model's performance and retrain it, as necessary, to modernize it.
Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
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Question 3
In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad
- B. generating live captions for a news broadcast
- C. extracting key phrases from the audio recording of a meeting
- D. an AI character in a computer game that speaks audibly to a player
Answer:
ad
Azure Text to Speech is a Speech service feature that converts text to lifelike speech.
Incorrect Answers:
C: Extracting key phrases is not speech synthesis.
Reference:
https://azure.microsoft.com/en-in/services/cognitive-services/text-to-speech/
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Question 4
Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. dataset
- B. compute
- C. pipeline
- D. module
Answer:
ad
You can drag-and-drop datasets and modules onto the canvas.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer
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Question 5
You need to predict the animal population of an area.
Which Azure Machine Learning type should you use?
- A. regression
- B. clustering
- C. classification
Answer:
a
Regression is a supervised machine learning technique used to predict numeric values.
Reference:
https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/1-introduction
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Question 6
DRAG DROP
Match the tool to the Azure Machine Learning task.
To answer, drag the appropriate tool from the column on the left to its tasks on the right. Each tool may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
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Question 7
HOTSPOT
Select the answer that correctly completes the sentence.
Answer:
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Question 8
HOTSPOT To complete the sentence, select the appropriate option in the answer area.
Hot Area:
Answer:
To perform real-time inferencing, you must deploy a pipeline as a real-time endpoint.
Real-time endpoints must be deployed to an Azure Kubernetes Service cluster.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer#deploy
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Question 9
An app that analyzes social media posts to identify their tone is an example of which type of natural language processing (NLP) workload?
- A. sentiment analysis
- B. speech recognition
- C. key phrase extraction
- D. entity recognition
Answer:
a
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Question 10
HOTSPOT To complete the sentence, select the appropriate option in the answer area.
Hot Area:
Answer:
Regression is a machine learning task that is used to predict the value of the label from a set of related features.
Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks
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