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NEW QUESTION # 48
You need to compare the costs of large language models (LLMs) for a generative AI solution.
What should you use in the Microsoft Foundry portal?
Answer: B
Explanation:
To compare the costs of large language models in Microsoft Foundry portal, use the Model leaderboard.
Microsoft documentation states that the model leaderboard helps compare models across quality, safety, estimated cost, and throughput. It also supports trade-off charts and side-by-side model comparison for features, performance, and estimated cost.
Why the other options are incorrect:
A . Evaluator catalog is for selecting evaluators to measure model or application outputs, not comparing LLM costs.
C . Compliance relates to governance and compliance, not model cost comparison.
D . Tools provides Foundry tools, not benchmarked cost comparison across models.
NEW QUESTION # 49
You are developing an application that summarizes customer comments by using Azure Language in Foundry Tools.
You need to install the Azure Language SDK.
Which Python package should you install?
Answer: B
NEW QUESTION # 50
You have a Microsoft Foundry project that contains a model deployment.
You are developing an application that sends an image and a user question to the model.
You need to send both text and image content in the same request so the model can return an answer.
How should you complete the Python code? 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.
Answer:
Explanation:
Explanation:
input=[
{
" role " : " user " ,
" content " : [
{ " type " : " input_text " , " text " : " What is in this image? Provide 3 bullet points. " },
{ " type " : " input_image " , " image_url " : image_url},
],
}
]
print(response.output_text)
For a multimodal request that sends both text and an image to an Azure OpenAI model, the input content array uses separate content item types. Text content is sent with type: " input_text " , and image content is sent with type: " input_image " . Microsoft's Azure OpenAI Responses API documentation shows the Responses API supports multimodal inputs and uses structured input content items in the request.
The options output_text and output_image are not used inside the user input content array. In the shown code, response.output_text is used after the response is returned to print the model's text answer.
NEW QUESTION # 51
You use natural language processing to process text from a Microsoft news story. You receive the output shown in the following table.
Which type of natural language processing was performed?
Answer: D
Explanation:
The output identifies text values and labels them with entity categories, such as:
now [DateTime]
students [PersonType]
Microsoft [Organization]
175 [Quantity-Number]
Today [DateTime-Date]
This is entity recognition, also known as Named Entity Recognition (NER). NER identifies and categorizes entities in unstructured text, such as people, organizations, locations, dates, quantities, numbers, and other named or structured values.
Why the other options are incorrect:
B). translation would convert text from one language to another.
C). key phrase extraction would return important phrases or main topics, not categorized entity labels.
D). sentiment analysis would return sentiment such as positive, negative, neutral, or mixed.
NEW QUESTION # 52
You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments. This is an example of which Microsoft guiding principle for responsible AI?
Answer: C
Explanation:
An AI system designed to empower everyone, including people with hearing, visual, and other impairments, is a direct example of the inclusiveness guiding principle for responsible AI.
Accessibility: It ensures technology adapts to human needs rather than forcing humans to adapt to technology.
Equal Opportunity: It provides users of all abilities with the same access to information, tools, and digital experiences.
Diverse Design: It reflects a development process that intentionally considers and incorporates the needs of historically underserved populations.
Reference:
https://uitop.design/blog/design/inclusive-design/
NEW QUESTION # 53
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