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Microsoft Azure AI Fundamentals Sample Questions (Q14-Q19):

NEW QUESTION # 14
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:

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 # 15
Match the types of natural languages processing workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics

NEW QUESTION # 16
You have an app that identifies the coordinates of a product in an image of a supermarket shelf.
Which service does the app use?

A. Azure Al Custom Vision classification
B. Azure Al Computer Vision Read
C. Azure Al Custom Vision object detection
D. Azure Al Computer Vision optical character recognition (OCR)

Answer: C

Explanation:
The described app identifies the coordinates of a product within an image of a supermarket shelf. This scenario directly corresponds to the object detection capability of Azure AI Custom Vision. As per the Microsoft Learn module "Train a Custom Vision model", the object detection project type allows developers to train models that can both detect and locate objects within an image. It returns bounding box coordinates along with predicted labels for each detected item.
In this use case, the app doesn't just classify what products are present-it needs the position of the product (coordinates). That function distinguishes object detection from classification. Classification simply assigns a label to the entire image, while object detection provides spatial information for multiple items in one image.
The other options are incorrect:
* B. Azure AI Computer Vision Read and C. Azure AI Computer Vision OCR are used for extracting text from images, not locating objects.
* D. Azure AI Custom Vision classification only categorizes images but cannot determine where objects appear.
Therefore, to build an app that finds and locates products in images, the correct choice is A. Azure AI Custom Vision object detection.

NEW QUESTION # 17
You need to identify harmful content in a generative Al solution that uses Azure OpenAI Service.
What should you use?

A. Language
B. Face
C. Content Safety
D. Video Analysis

Answer: A

NEW QUESTION # 18
Match the Azure Al 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 be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

The correct mapping is based on how each Azure Cognitive Service functions within the Microsoft AI ecosystem, as detailed in the Microsoft Azure AI Fundamentals (AI-900) study guide and Microsoft Learn Cognitive Services documentation.
* Convert spoken requests into text # Azure AI SpeechThe Azure AI Speech service provides speech-to- text (STT) capabilities, which enable an application to recognize spoken language and convert it into written text. This functionality is foundational in voice-enabled applications like digital assistants or transcription services. When a user speaks, this service captures the audio signal and produces an accurate textual representation that can then be processed by other AI services.
* Identify the intent of a user's requests # Azure AI LanguageThe Azure AI Language service (which includes Conversational Language Understanding, formerly LUIS) is designed to extract meaning from text. It identifies intents-the goals or actions a user wants to perform-and entities, which are key details within that request. For example, in the command "Book a flight to Paris," the intent is "book a flight," and the entity is "Paris."
* Apply intent to entities and utterances # Azure AI LanguageAgain, the Language service performs this deeper contextual analysis. It not only identifies what the user wants (intent) but also applies it to utterances (specific user expressions) and entities (data elements extracted from text). This helps conversational AI systems take meaningful actions, such as fulfilling user requests.
In summary, Azure AI Speech handles audio-to-text conversion, while Azure AI Language performs natural language understanding, mapping intents and entities-a workflow essential in intelligent conversational applications.

NEW QUESTION # 19
......

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