Win IT Exam with Last Dumps 2024

You have a natural language processing (NLP) model that was created by using data obtained without permission.
Which Microsoft principle for responsible AI does this breach?

A. reliability and safety B. privacy and security C. inclusiveness D. transparency

HOTSPOT
-
Select the answer that correctly completes the sentence.

DRAG DROP
-
Match the services to the appropriate descriptions.
To answer, drag the appropriate service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Which machine learning technique can be used for anomaly detection?

A. A machine learning technique that classifies objects based on user supplied images. B. A machine learning technique that understands written and spoken language. C. A machine learning technique that classifies images based on their contents. D. A machine learning technique that analyzes data over time and identifies unusual changes.

You have an AI-based loan approval system.
During testing, you discover that the system has a gender bias.
Which responsible Al principle does this violate?

A. accountability B. reliability and safety C. transparency D. fairness

You are developing a system to predict the prices of insurance for drivers in the United Kingdom.
You need to minimize bias in the system.
What should you do?

A. Remove information about protected characteristics from the data before sampling. B. Take a training sample that is representative of the population in the United Kingdom. C. Create a training dataset that uses data from global insurers. D. Take a completely random training sample.

HOTSPOT
-
Select the answer that correctly completes the sentence.

You have a dataset.
You need to build an Azure Machine Learning classification model that will identify defective products.
What should you do first?

A. Load the dataset. B. Create a clustering model. C. Split the data into training and testing datasets. D. Create a classification model.

You use Azure Machine Learning designer to build a model pipeline.
What should you create before you can run the pipeline?

A. a registered model B. a compute resource C. a Jupyter notebook

DRAG DROP
-
Match the tool to the Azure Machine Learning task.
To answer, drag the appropriate tool from the column on the left to its tasks on the right. Each tool may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.