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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...
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: Yes Azure Machine Learning designer lets you visually connect datasets and modules on an interactive canvas to create machine learning...
Which type of natural language processing should you use?
You are developing a solution that uses the Text Analytics service. You need to identify the main talking points in a collection of documents. Which type of natural language processing should you use?A . entity recognitionB . key phrase extractionC . sentiment analysisD . language detectionView AnswerAnswer: B Explanation: Broad...
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...
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:
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...
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...
Which type of computer vision should you use?
Topic 3, Describe features of computer vision workloads on Azure You need to develop a mobile app for employees to scan and store their expenses while travelling. Which type of computer vision should you use?A . semantic segmentationB . image classificationC . object detectionD . optical character recognition (OCR)View AnswerAnswer:...
What should you do?
You are building a Language Understanding model for an e-commerce business. You need to ensure that the model detects when utterances are outside the intended scope of the model. What should you do?A . Test the model by using new utterancesB . Add utterances to the None intentC . Create...
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: Yes Automated machine learning, also referred to as automated ML or AutoML, is the process of automating the time consuming,...
