Question # 1
You have insurance claim reports that are stored as text.
You need to extract key terms from the reports to generate summaries.
Which type of Al workload should you use?
| | A. conversational Al | | B. anomaly detection | | C. natural language processing | | D. computer vision |
C. natural language processing
Explanation:
Key phrase extraction is the concept of evaluating the text of a document, or documents, and then identifying the main talking points of the document(s).
Key phase extraction is a part of Text Analytics. The Text Analytics service is a part of the Azure Cognitive Services offerings that can perform advanced natural language processing over raw text.
https://docs.microsoft.com/en-us/learn/modules/analyze-text-with-text-analytics-service/2-get-started-azure
Question # 2
| What are two tasks that can be performed by using the Computer Vision service? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point. | | A. Train a custom image classification model. | | B. Detect faces in an image. | | C. Recognize handwritten text. | | D. Translate the text in an image between languages. |
B. Detect faces in an image.
C. Recognize handwritten text.
Explanation:
B: Azure's Computer Vision service provides developers with access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
C: Computer Vision includes Optical Character Recognition (OCR) capabilities. You can use the new Read API to extract printed and handwritten text from images and documents.
[Reference:, https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/home, , Detect faces in an image - Face API, Microsoft Azure provides multiple cognitive services that you can use to detect and analyze faces, including:, Computer Vision, which offers face detection and some basic face analysis, such as determining age., Video Indexer, which you can use to detect and identify faces in a video., Face, which offers pre-built algorithms that can detect, recognize, and analyze faces., Recognize hand written text - Read API, The Read API is a better option for scanned documents that have a lot of text. The Read API also has the ability to automatically determine the proper recognition model, ]
Question # 3
| You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use? | | A. Computer Vision | | B. Face | | C. Text Analytics | | D. Form Recognizer |
B. Face
Question # 4
| What is an example of unsupervised machine learning? | | A. classification | | B. clustering | | C. regression |
B. clustering
Question # 5
| Extracting relationships between data from large volumes of unstructured data is an example of which type of Al workload? | | A. computer vision | | B. knowledge mining | | C. natural language processing (NLP) | | D. anomaly detection |
B. knowledge mining
Question # 6
| What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point. | | A. Predict stock prices. | | B. Detect brands in an image. | | C. Detect the color scheme in an image | | D. Translate text between languages. | | E. Extract key phrases. |
B. Detect brands in an image.
C. Detect the color scheme in an image
Question # 7
| In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point. | | A. Extract the invoice number from an invoice. | | B. Translate a form from French to English. | | C. Find image of product in a catalog. | | D. Identity the retailer from a receipt. |
A. Extract the invoice number from an invoice.
D. Identity the retailer from a receipt.
Explanation:
[Reference:, https://azure.microsoft.com/en-gb/services/cognitive-services/form-recognizer/#features, , , ]
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