Microsoft AI-900 Online Practice Questions and Exam Preparation

Microsoft AI-900 Online Questions & Answers

• Question 141:

  You have an Al solution that provides users with the ability to control smart devices by using verbal commands.

  Which two types of natural language processing (NLP) workloads does the solution use? Each correct answer presents part of the solution.

  NOTE: Each correct selection is worth one point.

  A. text-to-speech
  B. translation
  C. language modeling
  D. key phrase extraction
  E. speech-to-text
  C. language modeling
  D. key phrase extraction

• Question 142:

  HOTSPOT

  Select the answer that correctly completes the sentence.

  

  

• Question 143:

  You need to convert receipts into transactions in a spreadsheet. The spreadsheet must include the date of the transaction, the merchant the total spent and any taxes paid.

  Which Azure Al service should you use?

  A. Face
  B. Azure Al Language
  C. Azure Al Document Intelligence
  D. Azure Al Custom Vision
  C. Azure Al Document Intelligence

• Question 144:

  HOTSPOT

  Select the answer that correctly completes the sentence.

  

  

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  According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and the Microsoft Learn module "Describe features of natural language processing (NLP) workloads on Azure," Natural Language Processing refers to the branch of AI that enables computers to interpret, understand, and generate human language. One of the main NLP workloads identified by Microsoft is speech-to-text conversion, which transforms spoken words into written text. Creating a text transcript of a voice recording perfectly fits this definition because it involves converting audio language data into text form - a process handled by speech recognition models. These models analyze the acoustic features of human speech, segment phonemes, identify words, and produce a text transcript. On Azure, this function is implemented using the Azure Cognitive Services Speech-to-Text API, part of the Language and Speech services. Let's examine the other options to clarify why they are incorrect: Computer vision workload: Involves interpreting and analyzing visual data such as images and videos (e.g., object detection, facial recognition). It does not deal with speech or audio. Knowledge mining workload: Refers to extracting useful information from large amounts of structured and unstructured data using services like Azure Cognitive Search, not transcribing audio. Anomaly detection workload: Involves identifying unusual patterns in data (e.g., fraud detection or sensor anomalies), unrelated to language or speech. In summary, when a system creates a text transcript from spoken audio, it is performing a speech recognition task-classified under Natural Language Processing (NLP).

  This workload helps make spoken content searchable, analyzable, and accessible, aligning with Microsoft's Responsible AI goal of enhancing accessibility through language understanding.

• Question 145:

  You need to generate images based on user prompts.

  Which Azure OpenAI model should you use?

  A. GPT-4
  B. DALL-E
  C. GPT-3
  D. Whisper
  B. DALL-E

• Question 146:

  HOTSPOT

  To complete the sentence, select the appropriate option in the answer area.

  

  

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  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.

  Incorrect Answers:

  Computer Vision:

  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.

  References:

  https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/home

• Question 147:

  DRAG DROP

  Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.

  To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.

  NOTE: Each correct selection is worth one point.

  Select and Place:

  

  

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  Box 1: Reliability and safety

  To build trust, it's critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation.

  Box 2: Fairness

  Fairness: AI systems should treat everyone fairly and avoid affecting similarly situated groups of people in different ways. For example, when AI systems provide guidance on medical treatment, loan applications, or employment, they should make the same recommendations to everyone with similar symptoms, financial circumstances, or professional qualifications.

  We believe that mitigating bias starts with people understanding the implications and limitations of AI predictions and recommendations. Ultimately, people should supplement AI decisions with sound human judgment and be held accountable for consequential decisions that affect others.

  Box 3: 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

  References:

  https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

• Question 148:

  You have a chatbot that answers technical questions by using the Azure OpenAI GPT-3.5 large language model (LLM). Which two statements accurately describe the chatbot? Each correct answer presents a complete solution.

  NOTE: Each correct answer is worth one point.

  A. Grounding data can be used to constrain the output of the chatbot.
  B. The chatbot will always provide accurate data.
  C. The chatbot might respond with inaccurate data.
  D. The chatbot is suitable for performing medical diagnosis.
  A. Grounding data can be used to constrain the output of the chatbot.
  C. The chatbot might respond with inaccurate data.

• Question 149:

  HOTSPOT

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

  

  

• Question 150:

  CORRECT TEXT

  To complete the sentence, select the appropriate option in the answer area.

  Using Recency, Frequency, and Monetary (RFM) values to identify segments of a customer base is an example of___________

  A. classification
  B. placeholder
  C. placeholder
  D. placeholder
  A. classification

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  Explanation

  Classification