Microsoft AI-300 Questions & Answers - in .pdf
- Vendor: Microsoft
- Exam Code: AI-300
- Exam Name: Operationalizing Machine Learning and Generative AI Solutions
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- Exact Microsoft AI-300 Exam Questions with Correct Answers, verified by Experts with years of Experience in IT Field.
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- Vendor: Microsoft
- Exam Code: AI-300
- Exam Name: Operationalizing Machine Learning and Generative AI Solutions
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.Microsoft Operationalizing Machine Learning and Generative AI Solutions Sample Questions:
1. You have a deployment of an Azure OpenAI Service base model.
You plan to fine-tune the model.
You need to prepare a file that contains training data for multi-turn chat.
Which file encoding method should you use?
A) UTF-8
B) UTF-16
C) ASCII
D) ISO-8859-1
2. A Retrieval-Augmented Generation (RAG) solution returns incomplete answers because relevant content is inconsistently retrieved from the knowledge source.
You need to improve RAG accuracy without changing the embedding model currently in use. You need to achieve this goal while minimizing operational costs.
Which two actions should you perform? Each correct answer presents part of the solution.
Choose two.
NOTE: Each correct selection is worth one point.
A) Optimize the length of embedding vectors.
B) Implement an optimized re-ranker.
C) Tune chunk size and overlap to match content structure.
D) Increase token limits for all requests.
3. A team deploys a model to a real-time endpoint in Azure Machine Learning. You deploy some updates to the endpoint.
The endpoint returns errors after the new deployment is released.
You need to restore the service as quickly as possible.
What should you do first?
A) Delete the endpoint and immediately redeploy it.
B) Change the authentication type to Azure Machine Learning token-based authentication.
C) Increase the compute size.
D) Roll back traffic to the previous deployment.
4. A financial services company is deploying Microsoft Foundry to host generative AI workloads that process regulated customer data. The Microsoft Foundry environment must prevent any public network exposure while still allowing services managed by Microsoft Foundry to communicate with dependent Azure resources.
Security auditors require that all traffic to and from the Microsoft Foundry resource remain on private networks, with no public endpoints available.
You need to configure the Microsoft Foundry environment so that network access is restricted while maintaining full platform functionality.
Which two actions should you perform? Each correct answer presents part of the solution.
Choose two.
NOTE: Each correct selection is worth one point.
A) Disable all inbound network access.
B) Disable public network access to the Microsoft Foundry resource.
C) Deploy the Microsoft Foundry resource in a separate Azure subscription.
D) Configure a managed virtual network for the Microsoft Foundry resource.
E) Use API key authentication for all model endpoints.
5. Drag and Drop Question
An organization operates a generative AI application in production by using Microsoft Foundry.
The application serves live user traffic and is updated by a data scientist team regularly as prompts and models evolve.
The application intermittently times out during production use, which requires ongoing visibility into runtime behavior.
The team must also validate model quality and safety before releasing new updates to avoid introducing regressions.
You need to apply the correct mechanisms for continuous runtime monitoring and for release time validation.
Which mechanisms should you use for each requirement? To answer, move the appropriate mechanisms to the correct requirements. You may use each mechanism once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B,C | Question # 3 Answer: D | Question # 4 Answer: A,D | Question # 5 Answer: Only visible for members |
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