To complete the sentence, select the appropriate option in the answer area.
Computer vision capabilities can be Deployed to....................

Correct Answer:

seetheanswerinbelowExplanation
Explanation:
Integrate a facial recognition feature into an app.

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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.

Correct Answer:

Explanation

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-python
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml

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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.

Correct Answer:

Explanation

Box 1: Yes
Azure Machine Learning designer lets you visually connect datasets and modules on an interactive canvas to create machine learning models.
Box 2: Yes
With the designer you can connect the modules to create a pipeline draft.
As you edit a pipeline in the designer, your progress is saved as a pipeline draft.
Box 3: No
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer

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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.

• A.Use a graphical user interface (GUI) to run automated machine learning experiments.
• B.Create a compute instance to use as a workstation.
• C.Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
• D.Create a dataset from a comma-separated value (CSV) file.

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

Correct Answer:

Explanation

Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

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