AI-900 Microsoft Azure AI Fundamentalspopular - Practice Questions - Post 2
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1. Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
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Option A: Form Recognizer
Option B: Text Analytics
Option C: Language Understanding
Option D: Custom Vision
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Explanation:
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2. HOTSPOT (Drag and Drop is not supported) To complete the sentence, select the appropriate option in the answer area. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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3. You use Azure Machine Learning designer to publish an inference pipeline. Which two parameters should you use to access the web service? Each correct answer presents part of the solution. Note: Each correct selection is worth one point.
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Option A: the model name
Option B: the training endpoint
Option C: the authentication key
Option D: the REST endpoint
Answer(s):
Explanation:
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4. HOTSPOT (Drag and Drop is not supported) To complete the sentence, select the appropriate option in the answer area. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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5. HOTSPOT (Drag and Drop is not supported) To complete the sentence, select the appropriate option in the answer area. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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6. HOTSPOT (Drag and Drop is not supported) For each of the following statements, select Yes if the statement is true. Otherwise, select No. Note: Each correct selection is worth one point. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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7. HOTSPOT (Drag and Drop is not supported) You have the following dataset. You plan to use the dataset to train a model that will predict the house price categories of houses. What are Household Income and House Price Category? To answer, select the appropriate option in the answer area. Note: Each correct selection is worth one point. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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8. HOTSPOT (Drag and Drop is not supported) To complete the sentence, select the appropriate option in the answer area. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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9. HOTSPOT (Drag and Drop is not supported) For each of the following statements, select Yes if the statement is true. Otherwise, select No. Note: Each correct selection is worth one point. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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10. A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types. You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person. This is an example of which type of machine learning?
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Option A: clustering
Option B: regression
Option C: classification
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Explanation:
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11. When training a model, why should you randomly split the rows into separate subsets?
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Option A: to train the model twice to attain better accuracy
Option B: to train multiple models simultaneously to attain better performance
Option C: to test the model by using data that was not used to train the model
Answer(s):
Explanation: Not available
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12. You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning. What are two tasks that require an enterprise workspace? Each correct answer presents a complete solution. Note: Each correct selection is worth one point.
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Option A: Use a graphical user interface (GUI) to run automated machine learning experiments.
Option B: Create a compute instance to use as a workstation.
Option C: Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
Option D: Create a dataset from a comma-separated value (CSV) file.
Answer(s):
Explanation: Not available
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13. You need to predict the income range of a given customer by using the following dataset. Which two fields should you use as features? Each correct answer presents a complete solution. Note: Each correct selection is worth one point.
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Option A: Education Level
Option B: Last Name
Option C: Age
Option D: Income Range
Answer(s):
Explanation:
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14. 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?
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Option A: Custom Vision
Option B: Form Recognizer
Option C: Face
Option D: Computer Vision
Answer(s):
Explanation:
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15. HOTSPOT (Drag and Drop is not supported) For each of the following statements, select Yes if the statement is true. Otherwise, select No. Note: Each correct selection is worth one point. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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16. HOTSPOT (Drag and Drop is not supported) For each of the following statements, select Yes if the statement is true. Otherwise, select No. Note: Each correct selection is worth one point. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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17. What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution. Note: Each correct selection is worth one point.
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Option A: coefficient of determination (R2)
Option B: F1 score
Option C: root mean squared error (RMSE)
Option D: area under curve (AUC)
Answer(s):
Explanation:
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18. HOTSPOT (Drag and Drop is not supported) To complete the sentence, select the appropriate option in the answer area. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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19. DRAG DROP (Drag and Drop is not supported) You need to use Azure Machine Learning designer to build a model that will predict automobile prices. Which type of modules should you use to complete the model? To answer, drag the appropriate modules to the correct locations. Each module 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. Select and Place:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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20. Which type of machine learning should you use to identify groups of people who have similar purchasing habits?
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Option A: classification
Option B: regression
Option C: clustering
Answer(s):
Explanation:
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21. HOTSPOT (Drag and Drop is not supported) To complete the sentence, select the appropriate option in the answer area. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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22. Which metric can you use to evaluate a classification model?
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Option A: true positive rate
Option B: mean absolute error (MAE)
Option C: coefficient of determination (R2)
Option D: root mean squared error (RMSE)
Answer(s):
Explanation:
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23. 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.
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Option A: dataset
Option B: compute
Option C: pipeline
Option D: module
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Explanation:
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24. You need to create a training dataset and validation dataset from an existing dataset. Which module in the Azure Machine Learning designer should you use?
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Option A: Select Columns in Dataset
Option B: Add Rows
Option C: Split Data
Option D: Join Data
Answer(s):
Explanation:
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25. DRAG DROP (Drag and Drop is not supported) 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 selection is worth one point. Select and Place:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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26. HOTSPOT (Drag and Drop is not supported) To complete the sentence, select the appropriate option in the answer area. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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27. HOTSPOT (Drag and Drop is not supported) To complete the sentence, select the appropriate option in the answer area. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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28. HOTSPOT (Drag and Drop is not supported) To complete the sentence, select the appropriate option in the answer area. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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29. HOTSPOT (Drag and Drop is not supported) To complete the sentence, select the appropriate option in the answer area. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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30. HOTSPOT (Drag and Drop is not supported) You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table. For each of the following statements, select Yes if the statement is true. Otherwise, select No. Note: Each correct selection is worth one point. Hot Area:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
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