If you are looking for free AI-900 dumps than here we have some sample question answers available. You can prepare from our Microsoft AI-900 exam questions notes and prepare exam with this practice test. Check below our updated AI-900 exam dumps.
DumpsGroup are top class study material providers and our inclusive range of AI-900 Real exam questions would be your key to success in Microsoft Microsoft Certified: Azure AI Fundamentals Certification Exam in just first attempt. We have an excellent material covering almost all the topics of Microsoft AI-900 exam. You can get this material in Microsoft AI-900 PDF and AI-900 practice test engine formats designed similar to the Real Exam Questions. Free AI-900 questions answers and free Microsoft AI-900 study material is available here to get an idea about the quality and accuracy of our study material.
Sample Question 4
You have an Azure Machine Learning pipeline that contains a Split Data module. The Split Data module outputs to a Train Model module and a Score Model module. What is the function of the Split Data module?
A. selecting columns that must be included in the model B. creating training and validation datasets C. diverting records that have missing data D. scaling numeric variables so that they are within a consistent numeric range
Answer: A
Sample Question 5
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
Answer: C,D
Sample Question 6
You have insurance claim reports that are stored as text. You need to extract key terms from the reports to generate summaries. Which type of Al workload should you use?
A. conversational Al B. anomaly detection C. natural language processing D. computer vision
Answer: C
Explanation:
Key phrase extraction is the concept of evaluating the text of a document, or documents, and then identifying the main talking points of the document(s). Key phase extraction is a part of Text Analytics. The Text Analytics service is a part of the Azure Cognitive Services offerings that can perform advanced natural language processing over raw text.
You are building a Language Understanding model for an e-commerce business. You need to ensure that the model detects when utterances are outside the intended scope of the model. What should you do?
A. Test the model by using new utterances B. Add utterances to the None intent C. Create a prebuilt task entity D. Create a new model
Answer: B
Explanation:
The None intent is filled with utterances that are outside of your domain.
In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A. an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad B. generating live captions for a news broadcast C. extracting key phrases from the audio recording of a meeting D. an Al character in a computer game that speaks audibly to a player
In which scenario should you use key phrase extraction?
A. translating a set of documents from English to German B. generating captions for a video based on the audio track C. identifying whether reviews of a restaurant are positive or negative D. identifying which documents provide information about the same topics
Answer: D
Sample Question 10
You build a QnA Maker bot by using a frequently asked questions (FAQ) page. You need to add professional greetings and other responses to make the bot more user friendly.What should you do?
A. Increase the confidence threshold of responses B. Enable active learning C. Create multi-turn questions D. Add chit-chat
You plan to develop a bot that will enable users to query a knowledge base by using natural language processing. Which two services should you include in the solution? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. QnA Maker B. Azure Bot Service C. Form Recognizer D. Anomaly Detector
You need to develop a chatbot for a website. The chatbot must answer users’ questions based on the information in the following documents: A product troubleshooting guide in a Microsoft Word document A frequently asked questions (FAQ) list on a webpage Which service should you use to process the documents?
A. Azure Bot Service B. Language Understanding C. Text Analytics D. QnA Maker
You are authoring a Language Understanding (LUIS) application to support a music festival. You want users to be able to ask questions about scheduled shows, such as: “Which act isplaying on the main stage?” The question “Which act is playing on the main stage?” is an example of which type of element?
A. an intent B. an utterance C. a domain D. an entity
Answer: B
Explanation:
Utterances are input from the user that your app needs to interpret.
You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use?
A. Computer Vision B. Face C. Text Analytics D. Form Recognizer
Answer: B
Sample Question 15
You are processing photos of runners in a race. You need to read the numbers on the runners’ shirts to identity the runners in the photos. Which type of computer vision should you use?
A. facial recognition B. optical character recognition (OCR) C. semantic segmentation D. object detection
Answer: B
Explanation:
Optical character recognition (OCR) allows you to extract printed or handwritten text from images and documents.
You are building a tool that will process images from retail stores and identify the products of competitors. The solution will use a custom model.Which Azure Cognitive Services service should you use?
A. Custom Vision B. Form Recognizer C. Face D. Computer Vision
What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A. coefficient of determination (R2) B. F1 score C. root mean squared error (RMSE) D. area under curve (AUC) E. balanced accuracy
Answer: A,C
Explanation:
A: R-squared (R2), or Coefficient of determination represents the predictive power of the model as a value between -inf and 1.00. 1.00 means there is a perfect fit, and the fit can be
arbitrarily poor so the scores can be negative. C: RMS-loss or Root Mean Squared Error (RMSE) (also called Root Mean Square Deviation, RMSD), measures the difference between values predicted by a model and the values observed from the environment that is being modeled.
Which type of machine learning should you use to identify groups of people who have similar purchasing habits?
A. classification B. regression C. clustering
Answer: C
Explanation:
Clustering is a machine learning task that is used to group instances of data into clusters that contain similar characteristics. Clustering can also be used to identify relationships in a dataset
When you design an AI system to assess whether loans should be approved, the factors
used to make the decision should be explainable.
This is an example of which Microsoft guiding principle for responsible AI?
A. transparency B. inclusiveness C. fairness D. privacy and security
You are building an AI-based app.
You need to ensure that the app uses the principles for responsible AI.
Which two principles should you follow? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Implement an Agile software development methodology B. Implement a process of Al model validation as part of the software review process C. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer D. Prevent the disclosure of the use of Al-based algorithms for automated decision making
You need to develop a web-based AI solution for a customer support system. Users mustbe able to interact with a web app that will guide them to the best resource or answer.Which service should you use?
A. Custom Vision B. QnA Maker C. Translator Text D. Face
Answer: B
Explanation:
QnA Maker is a cloud-based API service that lets you create a conversational questionand-answer layer over your existing data. Use it to build a knowledge base by extracting
questions and answers from your semistructured content, including FAQs, manuals, and
documents. Answer users’ questions with the best answers from the QnAs in your
knowledge base—automatically. Your knowledge base gets smarter, too, as it
You need to track multiple versions of a model that was trained by using Azure Machine Learning. What should you do?
A. Provision an inference duster. B. Explain the model. C. Register the model. D. Register the training data.
Answer: C
Sample Question 23
To complete the sentence, select the appropriate option in the answer area.Computer vision capabilities can be Deployed to………………..
Answer: see the answer in below Explanation
Explanation:
Integrate a facial recognition feature into an app.
Sample Question 24
You are building a knowledge base by using QnA Maker. Which file format can you use topopulate the knowledge base?
A. PDF B. PPTX C. XML D. ZIP
Answer: A
Sample Question 25
You use drones to identify where weeds grow between rows of crops to send an Instructionfor the removal of the weeds. This is an example of which type of computer vision?
A. scene segmentation B. optical character recognition (OCR) C. object detection
Answer: A
Sample Question 26
You have a webchat bot that provides responses from a QnA Maker knowledge base.You need to ensure that the bot uses user feedback to improve the relevance of theresponses over time.What should you use?
A. key phrase extraction B. sentiment analysis C. business logic D. active learning
You are developing a conversational AI solution that will communicate with users throughmultiple channels including email, Microsoft Teams, and webchat.Which service should you use?
A. Text Analytics B. Azure Bot Service C. Translator D. Form Recognizer
You have insurance claim reports that are stored as text.You need to extract key terms from the reports to generate summaries.Which type of Al workload should you use?
A. conversational Al B. anomaly detection C. natural language processing D. computer vision
Answer: C
Explanation:
Key phrase extraction is the concept of evaluating the text of a document, or documents,
and then identifying the main talking points of the document(s).
Key phase extraction is a part of Text Analytics. The Text Analytics service is a part of the
Azure Cognitive Services offerings that can perform advanced natural language
You need to build an image tagging solution for social media that tags images of yourfriends automatically. Which Azure Cognitive Services service should you use?
A. Computer Vision B. Face C. Text Analytics D. Form Recognizer
Answer: B
Sample Question 30
To complete the sentence, select the appropriate option in the answer area.Using Recency, Frequency, and Monetary (RFM) values to identify segments of acustomer base is an example of___________
Answer: See the below in explanation:
Explanation:
Classification
Sample Question 31
You use Azure Machine Learning designer to build a model pipeline. What should youcreate before you can run the pipeline?
A. a Jupyter notebook B. a registered model C. a compute resource
Answer: C
Sample Question 32
You need to develop a chatbot for a website. The chatbot must answer users questionsbased on the information m the following documents• A product troubleshooting guide m a Microsoft Word document• A frequently asked questions (FAQ) list on a webpageWhich service should you use to process the documents?
A. Language Undemanding B. Text Analytics C. Azure Bot Service D. QnA Maker
Answer: D
Sample Question 33
In which scenario should you use key phrase extraction?
A. translating a set of documents from English to German B. generating captions for a video based on the audio track C. identifying whether reviews of a restaurant are positive or negative D. identifying which documents provide information about the same topics
Answer: C
Sample Question 34
Which two scenarios are examples of a conversational AI workload? Each correct answer
presents a complete solution.NOTE: Each correct selection is worth one point.
A. a telephone answering service that has a pre-recorder message B. a chatbot that provides users with the ability to find answers on a website by themselves C. telephone voice menus to reduce the load on human resources D. a service that creates frequently asked questions (FAQ) documents by crawling public
websites
You need to reduce the load on telephone operators by implementing a chatbot to answer
simple questions with predefined answers.Which two AI service should you use to achieve the goal? Each correct answer presents
part of the solution.NOTE: Each correct selection is worth one point.
A. Text Analytics B. QnA Maker C. Azure Bot Service D. Translator Text
You need to provide content for a business chatbot that will help answer simple user
queries.What are three ways to create question and answer text by using QnA Maker? Each
correct answer presents a complete solution.NOTE: Each correct selection is worth one point.
A. Generate the questions and answers from an existing webpage. B. Use automated machine learning to train a model based on a file that contains the
questions. C. Manually enter the questions and answers. D. Connect the bot to the Cortana channel and ask questions by using Cortana. E. Import chit-chat content from a predefined data source.
You have a frequently asked questions (FAQ) PDF file.You need to create a conversational support system based on the FAQ. Which service should you use?
A. QnA Maker B. Text Analytics C. Computer Vision D. Language Understanding (LUIS)
Answer: A Explanation: QnA Maker is a cloud-based API service that lets you create a conversational questionand-answer layer over your existing data. Use it to build a knowledge base by extracting
questions and answers from your semi-structured content, including FAQs, manuals, and
documents. Reference: https://azure.microsoft.com/en-us/services/cognitive-services/qna-maker/
Sample Question 38
Which AI service should you use to create a bot from a frequently asked questions (FAQ)
document?
A. QnA Maker B. Language Understanding (LUIS) C. Text Analytics D. Speech
Answer: A
Sample Question 39
Which two scenarios are examples of a conversational AI workload? Each correct answer
presents a complete solution.NOTE: Each correct selection is worth one point.
A. a smart device in the home that responds to questions such as “What will the weather
be like today?” B. a website that uses a knowledge base to interactively respond to users’ questions C. assembly line machinery that autonomously inserts headlamps into cars D. monitoring the temperature of machinery to turn on a fan when the temperature reaches
a specific
Threshold
Answer: A,B
Exam Code: AI-900Exam Name: Microsoft Azure AI FundamentalsLast Update: May 20, 2024Questions: 241