Free Microsoft AI-901 Korean Practice Test & Real Exam Questions

Explanation:

Statement 1: To process prompts that contain images, you must deploy a multimodal generative AI model. = Yes Image prompts require a vision-enabled or multimodal model. A text-only model cannot interpret image content.
Statement 2: In the Foundry playground, you can provide an image by uploading a local file or by specifying a publicly accessible URL. = Yes The Foundry playground for vision-capable models supports adding image input to a prompt, including local uploads and image URLs.
Statement 3: A multimodal model can interpret multiple images included in a single prompt. = Yes Vision-enabled multimodal models can accept image content items in a prompt, and multiple images can be included for the model to analyze together.

Explanation:

The completed code is:
poller = client.begin_analyze(
analyzer_id= " invoice " ,
input_url=url
)
result = poller.result()
Azure Content Understanding analysis uses a long-running operation pattern. The Python SDK returns a poller from begin_analyze(), and Microsoft documentation states that the SDK poller handles polling automatically when you call .result() .
Therefore, to retrieve the analysis results after processing completes, the correct option is:
result
The other options are incorrect because status checks operation state, wait waits without returning the final analysis object, and get_results is not the method shown for retrieving the begin_analyze() result in this code pattern.

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Explanation:
To develop an application that analyzes text by using Azure Language in Foundry Tools, use the Azure Text Analytics client library package.
Azure Language text analysis workloads include capabilities such as sentiment analysis, key phrase extraction, named entity recognition, language detection, and other text analytics features. In application code, these text analysis capabilities are accessed by using the Azure Text Analytics client library .
The other options are incorrect:
Azure AI Projects client library is used for Foundry project and agent-related development.
Azure OpenAI client library is used to call Azure OpenAI model deployments.
Azure Speech SDK is used for speech recognition, speech synthesis, and other speech workloads.

Explanation:

Counting the number of animals in an area based on a video feed is an example of computer vision .
Computer vision is the AI workload used to analyze visual content such as images and video. Counting animals in a video feed requires detecting visual objects in video frames and analyzing them, which is a computer vision task.
Forecasting predicts future values or trends from historical data.
Knowledge mining extracts insights from large document or data collections.
Therefore, the correct answer is computer vision .

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Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).