What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.A . knowledgeabilityB . decisivenessC . inclusivenessD . fairnessE . opinionatednessF . reliability and safetyView AnswerAnswer: C,D,F Explanation: Reference: https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

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Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.A . datasetB . computeC . pipelineD . moduleView AnswerAnswer: A, D Explanation: You can drag-and-drop datasets and modules onto the canvas....

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When training a model, why should you randomly split the rows into separate subsets?

When training a model, why should you randomly split the rows into separate subsets?A . to train the model twice to attain better accuracyB . to train multiple models simultaneously to attain better performanceC . to test the model by using data that was not used to train the modelView...

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What should you use to analyze the images?

You run a charity event that involves posting photos of people wearing sunglasses on Twitter. You need to ensure that you only retweet photos that meet the following requirements: Include one or more faces. Contain at least one person wearing sunglasses. What should you use to analyze the images?A ....

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Match the types of AI workloads to the appropriate scenarios

DRAG DROP 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...

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Which type of model is the chart used to evaluate?

You have the Predicted vs. True chart shown in the following exhibit. Which type of model is the chart used to evaluate?A . classificationB . regressionC . clusteringView AnswerAnswer: B Explanation: What is a Predicted vs. True chart? Predicted vs. True shows the relationship between a predicted value and its...

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Which two parameters should you use to consume the pipeline?

You use Azure Machine Learning designer to publish an inference pipeline. Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.A . the model nameB . the training endpointC . the authentication keyD ....

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This an example of which Microsoft guiding principle for responsible AI?

Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups. This an example of which Microsoft guiding principle for responsible AI?A . accountabilityB . fairnessC . inclusivenessD . privacy and...

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Which type of machine learning should you use?

You need to predict the sea level in meters for the next 10 years. Which type of machine learning should you use?A . classificationB . regressionC . clusteringView AnswerAnswer: B Explanation: In the most basic sense, regression refers to prediction of a numeric target. Linear regression attempts to establish a...

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Which Azure Cognitive Services service should you use?

You are building a tool that will process images from retail stores and identify the products of competitors. The solution will use a custom model. Which Azure Cognitive Services service should you use?A . Custom VisionB . Form RecognizerC . FaceD . Computer VisionView AnswerAnswer: A Explanation: Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/overview

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