Question 81 · 236 in bank
You need to create a clustering model and evaluate the model by using Azure Machine Learning designer. What should you do?
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Answer: A
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Question 82 · 236 in bank
You have a dataset that contains the columns shown in the following table.
You have a machine learning model that predicts the value of ColumnE based on the other numeric columns. Which type of model is this?
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Answer: C
Explanation
C is the answer. https://learn.microsoft.com/en-us/training/modules/create-regression-model-azure-machine-learning-designer/2-regression-scenarios Regression is a form of machine learning used to understand the relationships between variables to predict a desired outcome. Regression predicts a numeric label or outcome based on variables, or features. For example, an automobile sales company might use the characteristics of a car (such as engine size, number of seats, mileage, and so on) to predict its likely selling price. In this case, the characteristics of the car are the features, and the selling price is the label.
Source: Adapted from community discussion — zellck
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Question 83 · 236 in bank
You need to track multiple versions of a model that was trained by using Azure Machine Learning. What should you do?
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Answer: B
Explanation
Model registration allows you to store and version your models in the Azure cloud, in your workspace. The model registry helps you organize and keep track of your trained models.
Source: Adapted from community discussion — Murtuza
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Question 84 · 236 in bank
You need to identify groups of rows with similar numeric values in a dataset. Which type of machine learning should you use?
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Answer: A
Explanation
Anytime you see GROUP whether it says Identify which usually is Classification, it is ALWAYS Cluster. Think of Cluster like saying "A Cluster of things" or "Group of things" essentially. Cluster = Group Identify/Classify = Classification Prediction = Regression
Source: Adapted from community discussion — Jay23AmMonsIV
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Question 85 · 236 in bank
HOTSPOT - Select the answer that correctly completes the sentence.
This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.
Show the answer figure
Answer: See figure below
Explanation
1. classification https://learn.microsoft.com/en-us/training/modules/create-classification-model-azure-machine-learning-designer/classification-scenarios Classification is a form of machine learning that is used to predict which category, or class, an item belongs to. This machine learning technique can be applied to binary and multi-class scenarios. For example, a health clinic might use the characteristics of a patient (such as age, weight, blood pressure, and so on) to predict whether the patient is at risk of diabetes. In this case, the characteristics of the patient are the features, and the label is a binary classification of either 0 or 1, representing non-diabetic or diabetic.
Source: Adapted from community discussion — zellck
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Question 86 · 236 in bank
HOTSPOT - Select the answer that correctly completes the sentence.
This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.
Show the answer figure
Question 87 · 236 in bank
When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable. This is an example of which Microsoft guiding principle for responsible AI?
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Answer: A
Explanation
A is the answer. https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai#transparency Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way. Snapshots within Azure Machine Learning workspaces support transparency by recording or retraining all training-related assets and metrics involved in the experiment.
Source: Adapted from community discussion — zellck
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Question 88 · 236 in bank
A historian can use ________ to digitize newspaper articles. Select the answer that correctly completes the sentence.
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Answer: D
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Question 89 · 236 in bank
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.
This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.
Show the answer figure
Answer: See figure below
Explanation
Should this be YYY? With Azure Custom Vision, you can create and train a custom object detection model that is specific to your needs. This means that you can train the model to identify multiple types of damaged products in an image, and the model can be refined and improved over time as more data becomes available.
Source: Adapted from community discussion — jordymsft
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Question 90 · 236 in bank
You need to create a model that labels a collection of your personal digital photographs. Which Azure Cognitive Services service should you use?
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Answer: B
Explanation
According to Microsoft's documentation, you can use Custom Vision to label a collection of your personal digital photographs ¹. With Custom Vision, you can upload your own images and labels, and train a model to recognize specific objects or patterns [^web page^]. You can also use Smart Labeler to generate suggested tags for images, which lets you label a large number of images more quickly when you're training a Custom Vision model ¹. Source: Conversation with Bing, 4/26/2023 (1) Label images faster with Smart Labeler - Azure Cognitive Services .... https://learn.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/suggested-tags Accessed 4/26/2023.
Source: Adapted from community discussion — master_yoda
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