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Achieving the Microsoft AI-900 certification requires passing a 40-60 question exam, which is available in multiple languages. It is a great way to validate your understanding of AI and showcase your skills to potential employers. Microsoft Azure AI Fundamentals certification also serves as a stepping stone to other more advanced Azure certifications, such as the Azure Data Scientist Associate and the Azure AI Engineer Associate certifications.
The Microsoft Azure AI Fundamentals certification exam consists of 40-60 multiple choice questions that candidates must complete within 85 minutes. AI-900 Exam can be taken in-person at a testing center or online from the comfort of your own home. To prepare for the exam, Microsoft offers a range of study materials, including online training courses, practice exams, and study guides. Additionally, candidates can also find third-party study materials and practice exams online.
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Microsoft AI-900 Exam covers various AI concepts, including machine learning, natural language processing, computer vision, and conversational AI. It also tests knowledge of Azure AI services such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. Candidates are expected to have a basic understanding of programming languages, data analysis, and cloud computing concepts.
NEW QUESTION # 209
You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book.
Which natural language processing tasks should you use to complete the process? To answer, drag the appropriate tasks to the correct locations. Each task 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.
Answer:
Explanation:
Explanation:
Box 1: Entity recognition
the Named Entity Recognition module in Machine Learning Studio (classic), to identify the names of things, such as people, companies, or locations in a column of text.
Named entity recognition is an important area of research in machine learning and natural language processing (NLP), because it can be used to answer many real-world questions, such as:
Which companies were mentioned in a news article?
Does a tweet contain the name of a person? Does the tweet also provide his current location?
Were specified products mentioned in complaints or reviews?
Box 2: Sentiment Analysis
The Text Analytics API ' s Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request, the API will return sentiment labels (such as " negative "
, " neutral " and " positive " ) and confidence scores at the sentence and document-level.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/named-entity-recognition
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to- sentiment-analysis
NEW QUESTION # 210
You have a database that contains a list of employees and their photos.
You are tagging new photos of the employees.
For each of the following statements select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview
https://docs.microsoft.com/en-us/azure/cognitive-services/face/concepts/face-detection
NEW QUESTION # 211
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 212
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Explanation
Privacy and security.
As AI becomes more prevalent, protecting privacy and securing important personal and business information is becoming more critical and complex. With AI, privacy and data security issues require especially close attention because access to data is essential for AI systems to make accurate and informed predictions and decisions about people. AI systems must comply with privacy laws that require transparency about the collection, use, and storage of data and mandate that consumers have appropriate controls to choose how their data is used. At Microsoft, we are continuing to research privacy and security breakthroughs (see next unit) and invest in robust compliance processes to ensure that data collected and used by our AI systems is handled responsibly.
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
NEW QUESTION # 213
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 # 214
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