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NEW QUESTION # 90
Hotspot Question
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:
NEW QUESTION # 91
Drag and Drop Question
Match the principles of responsible AI to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle 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:
Box 1: Fairness
Fairness (or non-discrimination/equity) is the responsible AI principle that applies when a system must not discriminate based on gender, race, or age. This principle ensures the AI treats all people fairly and does not create or copy unfair bias.
Box 2: Privacy and security
Privacy and security is the responsible AI principle that best fits when personal data must be visible only to approved users.
Data Protection: It requires safeguarding user data from unauthorized access.
Access Control: It ensures only authenticated and authorized users view sensitive information.
Trust Safeguards: It prevents data leaks and maintains user confidentiality.
Box 3: Transparency
The Transparency responsible AI principle requires that artificial intelligence systems and their operations are open, understandable, and properly disclosed so that users and stakeholders know when they are interacting with AI, how decisions are made, and what the system's limitations are.
Reference:
https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai?view=azureml-api-2
NEW QUESTION # 92
You are developing an application that converts text into spoken audio and saves the synthesized audio to a file by using Azure Speech in Foundry Tools.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
AudioOutputConfig(filename= " output.wav " )
The question specifically states the application must save the synthesized audio to a file . In the Azure Speech SDK for Python, speechsdk.audio.AudioOutputConfig(filename= " output.wav " ) directs the synthesizer to write the generated speech output directly to a WAV file on disk - which is exactly the requirement.
Why the other options are wrong:
* AudioOutputConfig(stream) - This routes audio output to an in-memory audio stream object, not a file. It is used when you want to process or play the audio programmatically without saving it to disk.
* AudioStreamFormat(wave_stream_format=AudioStreamWaveFormat.PCM) - This class defines the format of an audio stream (e.g., PCM encoding, sample rate). It is used when configuring custom audio streams, not when specifying a file output destination. It is not a valid argument for speechsdk.audio. in this context.
The correct and complete line is:
audio_config = speechsdk.audio.AudioOutputConfig(filename= " output.wav " )
NEW QUESTION # 93
Hotspot Question
Select the answer that correctly complete the sentence.
Answer:
Explanation:
NEW QUESTION # 94
You have a Microsoft Foundry project that contains a vision-enabled model deployment.
You need to create a prompt that ensures the model produces a relevant and useful response.
What should you include in the prompt?
Answer: C
Explanation:
A description of the task must be included in the prompt to ensure the model produces a relevant and useful response.
A prompt's core purpose is to tell the model exactly what it needs to accomplish. To get a useful and relevant output, you must explicitly provide instructions, context, rules, or the objective of the task (such as "extract the total price from this receipt" or "describe the objects in this photo").
Reference:
https://learn.microsoft.com/en-us/azure/foundry/foundry-models/how-to/deploy-foundry-models
NEW QUESTION # 95
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