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Microsoft Operationalizing Machine Learning and Generative AI Solutions Sample Questions:
1. You create a binary classification model. You use the Fairlearn package to assess model fairness.
You must eliminate the need to retrain the model.
You need to implement the Fairlearn package.
Which algorithm should you use?
A) fairlearn.reductions.GridSearch
B) fairiearn.reductions.ExponentiatedGradient
C) fairlearn.postprocessing.ThresholdOptimizer
D) fairlearn.preprocessing.CorrelationRemover
2. A team manages an Azure Machine Learning workspace and deploys a model to an endpoint.
A deployed online endpoint shows inconsistent response times during periods of high traffic.
You need to identify potential performance degradation.
Which three metrics should you monitor? Each correct answer presents part of the solution.
Choose three.
NOTE: Each correct selection is worth one point.
A) Connections active
B) Dataset size
C) Requests per minute
D) Feature count
E) Request latency
3. 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) ISO-8859-1
C) UTF-16
D) ASCII
4. Hotspot Question
You manage an Azure Machine Learning workspace named workspace1 by using the Python SDK v2.
The default datastore of workspace1 contains a folder named sample_data. The folder structure contains the following content:
You write Python SDK v2 code to materialize the data from the files in the sample_data folder into a Pandas data frame.
You need to complete the Python SDK v2 code to use the MLTable folder as the materialization blueprint.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point
5. A team is experimenting with traditional models for a classification workflow in Azure Machine Learning.
The team requires a consistent way to manage assets that are created during experimentation.
You need to ensure that artifacts can be reused and governed across projects.
Which asset should you register?
A) Environment
B) Component
C) Model
D) Pipeline
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A,C,E | Question # 3 Answer: A | Question # 4 Answer: Only visible for members | Question # 5 Answer: C |
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