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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Passing Score: | 700/1000 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Exam Format: | Sequence ordering, True/False, Single-choice, Multiple-choice, Drag and drop |
| Exam Price: | USD 99.00 |
| Available Languages: | Korean, Portuguese (Brazil), German, Japanese, English, French, Spanish, Indonesian, Chinese (Simplified) |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | No expiration (certification does not expire) |
| Exam Duration: | 45-60 |
| Sample Questions: | Microsoft AI-900 Sample Questions |
| Exam Way: | Online proctored exam or in-person testing center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required. Basic knowledge of cloud computing concepts is recommended but not mandatory. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/certifications/exams/ai-900/ |
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Microsoft AI-900 exam, also known as the Microsoft Azure AI Fundamentals certification exam, is a great way to demonstrate your proficiency in artificial intelligence (AI) and its applications in the cloud. AI-900 exam is designed for individuals who are interested in pursuing a career in AI or want to showcase their knowledge in this field. AI-900 exam covers a wide range of topics related to AI, machine learning, and natural language processing.
The Microsoft AI-900 Exam is suitable for individuals who want to start a career in AI or individuals who want to expand their knowledge on AI and its implementation on Azure. AI-900 exam is also suitable for IT professionals who want to gain an understanding of AI and its potential applications in their organization. AI-900 exam is an excellent opportunity for those who want to showcase their skills and expertise in AI and Azure.
NEW QUESTION # 230
You use natural language processing to process text from a Microsoft news story.
You receive the output shown in the following exhibit.
Which type of natural languages processing was performed?
Answer: B
Explanation:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview You can provide the Text Analytics service with unstructured text and it will return a list of entities in the text that it recognizes. You can provide the Text Analytics service with unstructured text and it will return a list of entities in the text that it recognizes. The service can also provide links to more information about that entity on the web. An entity is essentially an item of a particular type or a category; and in some cases, subtype, such as those as shown in the following table.
https://docs.microsoft.com/en-us/learn/modules/analyze-text-with-text-analytics-service/2-get-started-azure
NEW QUESTION # 231
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Explanation:
Azure Custom Vision is a cognitive service that lets you build, deploy, and improve your own image classifiers. An image classifier is an AI service that applies labels (which represent classes) to images, according to their visual characteristics. Unlike the Computer Vision service, Custom Vision allows you to specify the labels to apply.
Note: The Custom Vision service uses a machine learning algorithm to apply labels to images. You, the developer, must submit groups of images that feature and lack the characteristics in question. You label the images yourself at the time of submission. Then the algorithm trains to this data and calculates its own accuracy by testing itself on those same images. Once the algorithm is trained, you can test, retrain, and eventually use it to classify new images according to the needs of your app. You can also export the model itself for offline use.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/home custom vision - This is a type of computer vision service which helps in building/training models using user provided data Creating an object detection solution with Custom Vision consists of three main tasks. First you must use upload and tag images, then you can train the model, and finally you must publish the model so that client applications can use it to generate predictions.
https://docs.microsoft.com/en-us/learn/modules/detect-objects-images-custom-vision/2-object-detection-azure
NEW QUESTION # 232
Match the Azure Cognitive Services service to the appropriate actions.
To answer, drag the appropriate service from the column on the left to its action on the right. Each service may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation:
These matches are based on the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore Azure Cognitive Services." Microsoft Azure provides Cognitive Services that enable developers to integrate artificial intelligence capabilities-such as vision, speech, language understanding, and decision-making-into applications without requiring in-depth AI expertise.
* Convert a user's speech to text # Speech ServiceThe Azure Speech Service supports speech-to-text (STT) conversion, which transcribes spoken language into written text. This feature is commonly used in voice assistants, transcription systems, and voice-enabled apps. The service uses advanced speech recognition models to handle different accents, languages, and background noises.
* Identify a user's intent # Language ServiceThe Azure AI Language Service (which includes capabilities from LUIS - Language Understanding) is used to interpret what a user means or wants to achieve based on their words. It identifies intents (the goal or action behind the input) and entities (key pieces of information) from natural language text. This is a key component in conversational AI applications, allowing chatbots and virtual assistants to respond intelligently.
* Provide a spoken response to the user # Speech ServiceThe Speech Service also supports text-to-speech (TTS) functionality, which converts textual responses into natural-sounding speech. This enables applications to communicate audibly with users, completing the conversational loop.
Translator Text is not used here because it's primarily designed for language translation between different languages, not for speech recognition or intent understanding.
NEW QUESTION # 233
Select the answer that correctly completes the sentence
Answer:
Explanation:
Explanation:
NEW QUESTION # 234
Which two actions can you perform by using the Azure OpenAI DALL-E model? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.
Answer: A,E
Explanation:
The correct answers are A. Create images and D. Modify images.
The Azure OpenAI DALL-E model is a text-to-image generative AI model that can create original images and modify existing ones based on text prompts. According to Microsoft Learn and Azure OpenAI documentation, DALL-E interprets natural language descriptions to produce unique and creative visual content, making it useful for design, illustration, marketing, and educational applications.
* Create images (A) - DALL-E can generate new images entirely from textual input. For example, the prompt "a futuristic city skyline at sunrise" would result in a custom-generated artwork that visually represents that description.
* Modify images (D) - DALL-E also supports inpainting and outpainting, allowing users to edit or expand existing images. You can replace parts of an image (for example, changing a background or object) or add new elements consistent with the visual style of the original.
The remaining options are incorrect:
* B. OCR is performed by Azure AI Vision, not DALL-E.
* C. Detect objects in images is also an Azure AI Vision (Image Analysis) feature.
* E. Generate captions for images is handled by Azure AI Vision, not DALL-E, since DALL-E generates-not interprets-visuals.
NEW QUESTION # 235
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