To complete the sentence, select the appropriate option in the answer area

HOTSPOT To complete the sentence, select the appropriate option in the answer area. View AnswerAnswer: Explanation: To perform real-time inferencing, you must deploy a pipeline as a real-time endpoint. Real-time endpoints must be deployed to an Azure Kubernetes Service cluster.

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Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

You are building an AI system. Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?A . Ensure that all visuals have an associated text that can be read by a screen reader.B . Enable autoscaling to ensure that a service scales...

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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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Topic 1, Describe Artificial Intelligence workloads and considerations

Topic 1, Describe Artificial Intelligence workloads and considerations HOTSPOT To complete the sentence, select the appropriate option in the answer area. View AnswerAnswer: Explanation: Reliability and safety: To build trust, it's critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should...

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You are developing a model to predict events by using classification

HOTSPOT You are developing a model to predict events by using classification. You have a confusion matrix for the model scored on test data as shown in the following exhibit. Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the...

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Match the Microsoft guiding principles for responsible AI to the appropriate descriptions

DRAG DROP Match the Microsoft guiding principles for responsible AI to the appropriate descriptions. To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all. NOTE: Each correct selection is...

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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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For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point

HOTSPOT For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Box 1: No Box 2: Yes Box 3: Yes Anomaly detection encompasses many important tasks in machine learning: Identifying transactions that are...

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Match the types of machine learning to the appropriate scenarios

DRAG DROP Match the types of machine learning to the appropriate scenarios. To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all. NOTE: Each correct...

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For a machine learning progress, how should you split data for training and evaluation?

For a machine learning progress, how should you split data for training and evaluation?A . Use features for training and labels for evaluation.B . Randomly split the data into rows for training and rows for evaluation.C . Use labels for training and features for evaluation.D . Randomly split the data...

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