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AI-102T00: Designing and Implementing a Microsoft Azure AI Solution Quiz Questions and Answers

Answer :
  • Probabilistic values based on correlations found in training data

Explanation :

Machine learning models are trained using historic data, and rely on algorithms that find statistical relationships in the data. Predictions are generally based on probability; and while models are often extremely accurate, predictions are based on a confidence score that indicates a level of probability.
Answer :
  • The predominant language with a confidence score less than 1

Explanation :

Mixed language content within the same document returns the language with the largest representation in the content, but with a lower positive rating, reflecting the marginal strength of that assessment.
Answer :
  • An audio configuration parameter

Explanation :

Synthesis to an audio output requires just a speech configuration parameter but when saving to a file, you also must pass in a file name, which is done using the audio configuration parameter.
Answer :
  • After a pause in the audio

Explanation :

It uses silence detection to determine the end of an utterance, then, after a pause in voice activity, the service will stream back a final result for the completed utterance.
Answer :
  • Azure Machine Learning

Explanation :

Azure Machine Learning provides a comprehensive environment for deploying, managing, and scaling AI models, including those developed with Azure OpenAI Service.
Answer :
  • Negative

Explanation :

The API returns a sentiment score between 0 and 1 for each document, where 1 is the most positive. The score of 0.03 is close to 0 and, therefore, negative.
Answer :
  • <p>Implement algorithmic transparency and regular audits.</p>

Explanation :

Regular audits and ensuring algorithmic transparency help ensure models adhere to ethical guidelines by avoiding bias and improving accountability.
Answer :
  • To transform analytical insights into relational representations

Explanation :

A knowledge store transforms insights gained through knowledge mining into structured, relational formats suitable for analysis and visualization.
Answer :
  • Access to large-scale pre-trained models

Explanation :

Azure OpenAI Service provides access to large-scale pre-trained models, greatly reducing the time and resources needed for model development.