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Question 1:
An AI solution that helps photographers to take better portrait photographs by providing feedback on exposure, noise, and occlusion is an example of _____
Select the answer that correctly completes the sentence.
A. detection
B. recognition
C. analysis
Answer: C
Explanation:
Option analysis is correct – An AI solution that helps photographers take better portrait photographs by providing feedback on exposure, noise, and occlusion is an example of facial analysis or facial assessment. Facial analysis involves the use of computer vision and machine learning techniques to analyze and interpret facial features and characteristics.
In this case, the AI solution would analyze the subject‘s face in the photograph to provide feedback on exposure (ensuring proper lighting and tonal range), noise (evaluating image quality and reducing unwanted artifacts), and occlusion (identifying any obstructions or distractions on the subject‘s face). By leveraging AI-powered facial analysis, photographers can receive valuable insights and recommendations to improve the overall quality of their portrait photographs.
Question 2:
Exam notes:
– True/False: For the below statement, select True if the statement is correct, otherwise, select False.
You need to provide content for a business chatbot that will help answer simple user queries. Validate and confirm if the below solution can be used to create question and answer text by using QnA Maker?
Solution:
Use automated machine learning to train a model based on a file that contains the questions.
Select the correct option.
A. False
B. TRUE
Answer: A
Explanation:
It‘s not True. You can not create question and answer text using automated machine learning, rather you can use automated machine learning to train a model based on a file that which already has question and answer text generated using QnA Maker.
Automated machine learning is a process that uses machine learning algorithms and techniques to automatically build and tune machine learning models based on a set of training data. You can use automated machine learning to train a model based on a file that contains the questions by providing the file as the training data and specifying the type of model you want to build. The automated machine learning process will then build and tune the model based on the data in the file, and you can use the trained model to provide answers to user queries based on the information in the knowledge base.
Reference:
https://learn.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview
Question 3:
Exam notes:
– True/False: For the below statement, select True if the statement is correct, otherwise, select False.
You need to provide content for a business chatbot that will help answer simple user queries. Validate and confirm if the below solution can be used to create question and answer text by using QnA Maker?
Solution:
Generate the questions and answers from an existing webpage.
Select the correct option.
A. FALSE
B. True
Answer: B
Explanation:
True, you can use QnA Maker to generate questions and answers from an existing webpage.
To generate questions and answers from an existing webpage using QnA Maker, you would first need to extract the relevant information from the webpage. This could involve using web scraping techniques or other methods to extract the text and other data from the webpage. Once you have extracted the information from the webpage, you can use QnA Maker to create a knowledge base based on the data.
Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview
Question 4:
Which service you should use to translate spoken audio from a streaming source, such as a microphone or audio file, and return the translation as text or an audio stream.
Select the correct option.
A. Text-to-speech
B. Speech Translation
C. Text analytics
Answer: B
Explanation:
Option Speech Translation is correct – You can use the Speech Translation API to translate spoken audio from a streaming source, such as a microphone or audio file, and return the translation as text or an audio stream. This enables scenarios such as real-time closed captioning for a speech or simultaneous two-way translation of a spoken conversation.
Reference: https://docs.microsoft.com/en-us/learn/modules/translate-text-with-translation-service/2-get-started-azure
Option Text-to-speech is not correct – Text-to-speech enables your applications, tools, or devices to convert text into humanlike synthesized speech. The text-to-speech capability is also known as speech synthesis.
Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/text-to-speech
Option Text analytics is not correct – Text analytics is a process where an artificial intelligence (AI) algorithm, running on a computer, evaluates the text, to determine specific insights. A person will typically rely on their own experiences and knowledge to achieve the insights. A computer must be provided with similar knowledge to be able to perform the task.
Reference: https://learn.microsoft.com/en-us/training/modules/analyze-text-with-text-analytics-service/1-introduction
Question 5:
You need to make the written press releases of your company available in a range of languages.
Which service should you use?
A. Translator
B. Text Analytics
C. Language Understanding (LUIS)
D. Speech
Answer: A
Explanation:
Option Translator is correct – Translator is a cloud-based machine translation service you can use to translate text in near real-time through a simple REST API call. The service uses modern neural machine translation technology and offers statistical machine translation technology. Custom Translator is an extension of Translator, which allows you to build neural translation systems.
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/translator/
Option Text Analytics is not correct – Text analytics is a process where an artificial intelligence (AI) algorithm, running on a computer, evaluates the text, to determine specific insights. A person will typically rely on their own experiences and knowledge to achieve the insights. A computer must be provided with similar knowledge to be able to perform the task.
Reference: https://learn.microsoft.com/en-us/training/modules/analyze-text-with-text-analytics-service/1-introduction
Option Speech is not correct – Speech-to-text, also known as speech recognition, enables real-time or offline transcription of audio streams into text.
Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-to-text
Option Language Understanding (LUIS) is not correct – Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a users conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.
Reference:https://docs.microsoft.com/en-us/azure/cognitive-services/luis/what-is-luis
For a full set of 751 questions. Go to
https://skillcertpro.com/product/microsoft-azure-ai-fundamentals-ai-900-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.
Question 6:
Exam notes:
– True/False: For the below statement, select True if the statement is correct, otherwise, select False.
You need to provide content for a business chatbot that will help answer simple user queries. Validate and confirm if the below solution can be used to create question and answer text by using QnA Maker?
Solution:
Connect the bot to the Cortana channel and ask questions by using Cortana.
Select the correct option.
A. False
B. TRUE
Answer: A
Explanation:
It‘s not true, rather you can use the Cortana channel to connect your bot to QnA Maker and ask questions by using Cortana.
To generate questions and answers in QnA Maker, you can use the QnA Maker user interface to create a new knowledge base and enter the questions and answers manually. The QnA Maker user interface provides a simple, web-based interface that allows you to enter the questions and answers and organize them into a structured format. You can then use the QnA Maker service to build a knowledge base based on the data you have entered, and configure your bot to use the knowledge base to provide answers to user queries.
Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview
Question 7:
The following statement follows which Microsoft principle for responsible AI?
Ensuring an AI system does not provide a prediction when important fields contain unusual or missing values.
Select the correct option.
A. Transparency
B. Inclusiveness
C. Privacy and security
D. Reliability and safety
Answer: D
Explanation:
Option reliability and safety is correct – AI systems need to be reliable and safe in order to be trusted. It is important for a system to perform as it was originally designed and for it to respond safely to new situations. Its inherent resilience should resist intended or unintended manipulation. Rigorous testing and validation should be established for operating conditions to ensure that the system responds safely to edge cases, and A/B testing and champion/challenger methods should be integrated into the evaluation process.
An AI system‘s performance can degrade over time, so a robust monitoring and model tracking process needs to be established to reactively and proactively measure the model‘s performance and retrain it, as necessary, to modernize it.
Reference: https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
Other options are not correct.
Question 8:
Your company manufactures widgets. You have 1,000 digital photos of the widgets and needs to identify the location of the widgets within the photos.
What should you use?
A. Custom Vision classification
B. Custom Vision object detection
C. Computer Vision Spatial Analysis
D. Computer Vision Image Analysis
Answer: B
Explanation:
Option Custom Vision object detection is correct – Custom Vision object detection is a service that allows you to train a model to detect and locate specific objects within images. In this case, you can train a Custom Vision object detection model using the 1,000 digital photos of the widgets. By labeling the widgets in the images and providing corresponding bounding boxes, the model can learn to identify and locate the widgets in new photos.
Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/overview
Option Computer Vision Spatial Analysis is not correct – Computer Vision Spatial Analysis focuses on analyzing the spatial relationships and layout of objects within an image, which might not be suitable for precisely identifying the location of specific objects like widgets.
Option Computer Vision Image Analysis is not correct – Computer Vision Image Analysis is a broad term that encompasses various image analysis techniques, but it may not provide the specific object detection capability required for locating widgets.
Option Custom Vision classification is not correct – Custom Vision classification is used to classify images into predefined categories rather than detecting the location of specific objects within the images.
Question 9:
You are developing a system to predict the insurance prices for drivers in the Australia.
You need to minimize bias in the system.
What should you do?
A. Take a training sample that is representative of the population in the Australia.
B. Take a completely random training sample.
C. Remove information about protected characteristics from the data before sampling.
D. Create a training dataset that uses data from global insurers.
Answer: A
Explanation:
Option Take a training sample that is representative of the population in the Australia is correct – To minimize bias in the system, it‘s important that your training data is representative of the population you‘re modeling. This helps ensure that the model‘s predictions are valid for the full range of drivers in the United Kingdom. This option ensures that the system learns from a diverse and balanced data set that reflects the target population.
Option Remove information about protected characteristics from the data before sampling is not correct – Removing information about protected characteristics may not eliminate bias, as there may be other variables that are correlated with them.
Option Create a training dataset that uses data from global insurers is not correct – Using data from global insurers may introduce irrelevant or misleading factors that are not applicable to the Australia market.
Option Take a completely random training sample is not correct – Taking a completely random training sample may result in an unrepresentative or skewed data set that does not capture the variation in the population.
Additional information: AI systems should treat all people fairly. For example, suppose you create a machine learning model to support a loan approval application for a bank. The model should predict whether the loan should be approved or denied without bias. This bias could be based on gender, ethnicity, or other factors that result in an unfair advantage or disadvantage to specific groups of applicants.
Question 10:
A historian can use ________ to digitize newspaper articles.
Select the answer that correctly completes the sentence.
A. Image classification
B. Optical character recognition (OCR)
C. Object detection
D. Facial recognition
Answer: B
Explanation:
Keyword: Detect written text from paper = OCR
Option Optical character recognition (OCR) is correct – OCR or Optical Character Recognition is also referred to as text recognition or text extraction. Machine-learning based OCR techniques allow you to extract printed or handwritten text from images, such as posters, street signs and product labels, as well as from documents like articles, reports, forms, and invoices. The text is typically extracted as words, text lines, and paragraphs or text blocks, enabling access to digital version of the scanned text. This eliminates or significantly reduces the need for manual data entry.
Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-ocr
Other options are not correct.
For a full set of 751 questions. Go to
https://skillcertpro.com/product/microsoft-azure-ai-fundamentals-ai-900-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.