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Free Microsoft AI-900 Exam Braindumps (page: 11)

Page 11 of 70
PDF with 273 Questions

DRAG DROP (Drag and Drop is not supported)
Match the Azure OpenAI large language model (LLM) process to the appropriate task.
To answer, drag the appropriate process from the column on the left to its task on the right. Each process may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box 1: Classifying
Box 2: Summarizing
Text summarisation is the process of creating a short and coherent version of a longer document . It is useful for helping people to discover and consume relevant information faster.
Box 3: Generating


Reference:

https://medium.com/@nfmoore/prompt-engineering-experiments-with-llms-on-azure-openai-2e5daf75fa08



HOTSPOT (Drag and Drop is not supported)
Select the answer that correctly completes the sentence.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box: reliability and safety
Correctly handling unusual or missing values is an example of the application of the         principle for responsible AI.
Reliability and safety
For AI systems to be trusted, they need to be reliable and safe. It's important for a system to perform as it was originally designed and to respond safely to new situations. Its inherent resilience should resist intended or unintended manipulation.
An organization should establish rigorous testing and validation for operating conditions to ensure that the system responds safely to edge cases. It should integrate A/B testing and champion/challenger methods into the evaluation process.
An AI system's performance can degrade over time. An organization needs to establish a robust monitoring and model-tracking process to reactively and proactively measure the model's performance (and retrain it for modernization, as necessary).
Incorrect:
* Inclusiveness
Inclusiveness mandates that AI should consider all human races and experiences. Inclusive design practices can help developers understand and address potential barriers that could unintentionally exclude people.
Where possible, organizations should use speech-to-text, text-to-speech, and visual recognition technology to empower people who have hearing, visual, and other impairments.


Reference:

https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai



DRAG DROP (Drag and Drop is not supported)
Match the types of AI workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box 1: Knowledge mining
You can use Azure Cognitive Search's knowledge mining results and populate your knowledge base of your chatbot.
Box 2: Computer vision
Box 3: Natural language processing
Natural language processing (NLP) is used for tasks such as sentiment analysis.


Reference:

https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language- processing



You have the process shown in the following exhibit.


Which type of AI solution is shown in the diagram?

  1. a chatbot
  2. a computer vision application
  3. a machine learning model
  4. a sentiment analysis solution

Answer(s): A

Explanation:

Azure AI Bot Service provides an integrated development environment for bot building. Its integration with Power Virtual Agents, a fully hosted low-code platform, enables developers of all technical abilities build conversational AI bots—no code needed.


Reference:

https://azure.microsoft.com/en-us/products/ai-services/ai-bot-service



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Viewing questions 41 - 44 out of 273 questions



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