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NEW QUESTION 25 To complete the sentence, select the appropriate option in the answer area. Answer: ** Explanation: Reference: https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/   **NEW QUESTION 26 You plan to apply Text Analytics API features to a technical support ticketing system. Match the Text Analytics API features to the appropriate natural language processing scenarios. To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Answer: ** Explanation: Explanation Box1: Sentiment analysis Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral. Box 2: Broad entity extraction Broad entity extraction: Identify important concepts in text, including key Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations. Box 3: Entity Recognition Named Entity Recognition: Identify and categorize entities in your text as people, places, organizations, date/time, quantities, percentages, currencies, and more. Well-known entities are also recognized and linked to more information on the web. Reference: https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics   **NEW QUESTION 27 Match the services to the appropriate descriptions. To answer, drag the appropriate service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all. NOTE: Each correct match is worth one point Answer: ** Explanation: Explanation Graphical user interface, application Description automatically generated.   **NEW QUESTION 28 You need to make the press releases of your company available in a range of languages. Which service should you use?

• A. Translator Text
• B. Text Analytics
• C. Speech
• D. Language Understanding (LUIS)

Answer: A Explanation: Section: Describe features of Natural Language Processing (NLP) workloads on Azure Explanation: Translator is a cloud-based machine translation service you can use to translate text in near real-time through a simple REST API call. The service uses modern neural machine translation technology and offers statistical machine translation technology. Custom Translator is an extension of Translator, which allows you to build neural translation systems. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/translator/   NEW QUESTION 29 You build a machine learning model by using the automated machine learning user interface (UI). You need to ensure that the model meets the Microsoft transparency principle for responsible AI. What should you do?

• A. Set Validation type to Auto.
• B. Set Primary metric to accuracy.
• C. Set Max concurrent iterations to 0.
• D. Enable Explain best model.

Answer: D Explanation: Model Explain Ability. Most businesses run on trust and being able to open the ML "black box" helps build transparency and trust. In heavily regulated industries like healthcare and banking, it is critical to comply with regulations and best practices. One key aspect of this is understanding the relationship between input variables (features) and model output. Knowing both the magnitude and direction of the impact each feature (feature importance) has on the predicted value helps better understand and explain the model. With model explain ability, we enable you to understand feature importance as part of automated ML runs. Reference: https://azure.microsoft.com/en-us/blog/new-automated-machine-learning-capabilities-in-azure-machine-learning-service/   NEW QUESTION 30 ......