Microsoft AI-300 valid - in .pdf

AI-300 pdf
  • Exam Code: AI-300
  • Exam Name: Operationalizing Machine Learning and Generative AI Solutions
  • Q & A: 77 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: AI-300
  • Exam Name: Operationalizing Machine Learning and Generative AI Solutions
  • Q & A: 77 Questions and Answers
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  • Exam Code: AI-300
  • Exam Name: Operationalizing Machine Learning and Generative AI Solutions
  • Q & A: 77 Questions and Answers
  • Software Price: $59.99
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Microsoft Operationalizing Machine Learning and Generative AI Solutions Sample Questions:

1. Your model requires access to external APIs using sensitive credentials during inference. You must ensure credentials are not exposed in code, logs, or environment variables. What should you implement?

A) Hardcode credentials
B) Encrypt credentials locally
C) Store in config files
D) Use Azure Key Vault with managed identity


2. Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
You manage an Azure Machine Learning workspace. The Python script named script.py reads an argument named training_data. The training_data argument specifies the path to the training data in a file named dataset1.csv.
You plan to run the script.py Python script as a command job that trains a machine learning model.
You need to provide the command to pass the path for the dataset as a parameter value when you submit the script as a training job.
Solution: python script.py --trainingdata ${{inputs.training_data}}
Does the solution meet the goal?

A) No
B) Yes


3. Drag and Drop Question
A team iterates prompts used by a generative AI agent. The team must support internal review before releasing changes.
The team must:
- Track prompt changes with a clear history for audit and rollback.
- Compare prompt variants in parallel without affecting the prompt used in the production environment.
You need to select the appropriate source control approach for each requirement.
What should you use for each requirement? To answer, move the appropriate source controls to the correct requirements. You may use each source control 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.


4. 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-16
B) UTF-8
C) ASCII
D) ISO-8859-1


5. Hotspot Question
You manage an Azure Machine Learning workspace named workspace1 by using the Python SDK v2. You create a General Purpose v2 Azure storage account named mlstorage1. The storage account includes a publicly accessible container named mlcontainer1. The container stores 10 blobs with files in the CSV format.
You must develop Python SDK v2 code to create a data asset referencing all blobs in the container named mlcontainer1.
You need to complete the Python SDK v2 code.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: B
Question # 3
Answer: Only visible for members
Question # 4
Answer: B
Question # 5
Answer: Only visible for members

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