AI-900 exam dumps: 286 free Azure AI Fundamentals practice questions

Correct answers: A, D

• A. Correct.

  Machine learning is suitable because it enables the creation of predictive models to analyze customer purchase patterns and forecast future sales based on historical data.

• B. Incorrect.

  Computer vision is not suitable in this scenario because it focuses on analyzing visual data, such as images or videos, which is not relevant to the retail company's goal of analyzing purchase patterns.

• C. Incorrect.

  Natural language processing is not applicable here since this workload is primarily used to analyze and process text or speech data, not numerical purchase data.

• D. Correct.

  Anomaly detection is relevant because it can identify unusual trends or behaviors in customer purchases, which can complement the predictive analysis for sales forecasting.

• E. Incorrect.

  Conversational AI is not suitable for this scenario as it focuses on creating interactive systems like chatbots, which are unrelated to predicting sales or purchase patterns.

Correct answer: A

• A. Correct.

  Natural Language Processing (NLP) is the correct answer because it focuses on understanding and processing human language. Sorting emails into categories and extracting key details are common NLP tasks.

• B. Incorrect.

  Computer Vision is incorrect because it deals with analyzing and processing visual data, such as images and videos, rather than text.

• C. Incorrect.

  Anomaly Detection is incorrect because it focuses on identifying unusual patterns or behaviors in data, which is not relevant to categorizing emails or extracting text-based information.

• D. Incorrect.

  Reinforcement Learning is incorrect because it is a machine learning approach used for training agents to make decisions in dynamic environments through rewards and penalties, which is unrelated to the given scenario.

Correct answer: A

• A. Correct.

  Natural Language Processing (NLP) is the correct choice because it focuses on analyzing and interpreting human language, such as text or speech. Sentiment analysis is a common NLP task.

• B. Incorrect.

  Computer Vision is incorrect because it deals with analyzing visual data like images or videos, which is not relevant to the task of analyzing customer feedback text.

• C. Incorrect.

  Anomaly Detection is incorrect because it is used to identify unusual patterns or outliers in data, such as detecting fraud, and does not align with the requirement of categorizing sentiment.

• D. Incorrect.

  Robotics Process Automation (RPA) is incorrect because it automates repetitive tasks and workflows, and it is not designed for analyzing or interpreting text sentiment.

Correct answers: A, D

• A. Correct.

  Natural Language Processing (NLP) is essential for understanding and generating human language, which is critical for automating responses to customer inquiries.

• B. Incorrect.

  Computer Vision is focused on analyzing visual data, such as images and videos, and is not relevant to processing customer support inquiries.

• C. Incorrect.

  Forecasting and Predictive Analytics deal with predicting future trends or values, which is unrelated to the task of automating responses to customer inquiries.

• D. Correct.

  Knowledge Mining enables retrieving and organizing information from large datasets, which can complement NLP by providing accurate and relevant information to respond to inquiries.

• E. Incorrect.

  Anomaly Detection identifies unusual patterns or behaviors in data, which does not align with automating responses to customer inquiries.

Correct answers: B, D

• A. Incorrect.

  Natural Language Processing (NLP) focuses on understanding and processing text or spoken language, which is not the primary requirement in this scenario. While descriptions may involve text, the task is more about classifying products holistically.

• B. Correct.

  Computer Vision is relevant because the task involves analyzing and categorizing products based on their images, which falls under image processing and recognition capabilities.

• C. Incorrect.

  Anomaly Detection is used to identify unusual patterns or outliers in data, which does not align with the goal of categorizing products based on images and descriptions.

• D. Correct.

  Machine Learning is a broader AI workload that can be applied to train models for product categorization tasks using both images and descriptions. It forms the foundation of many AI solutions, including this one.

• E. Incorrect.

  Speech Recognition involves converting spoken language into text, which is not applicable to the scenario of categorizing products based on images and descriptions.

Correct answers: A, C

• A. Correct.

  Recommendation systems are used to suggest products or services to users based on their preferences or historical data, making it highly relevant to analyzing customer purchase patterns.

• B. Incorrect.

  Anomaly detection focuses on identifying outliers or unusual patterns in data, which is not the primary goal in this scenario.

• C. Correct.

  Predictive analytics involves forecasting future trends based on historical data, which aligns with the goal of predicting future sales trends.

• D. Incorrect.

  Computer vision involves analyzing and interpreting visual data, such as images or videos, which is not applicable to this scenario.

• E. Incorrect.

  Natural language processing is used for understanding and processing human language, which is not a requirement for analyzing purchase data or predicting trends in this case.

Correct answer: A

• A. Correct.

  Natural Language Processing (NLP) is the correct workload because it focuses on understanding and processing human language, which is required for classifying text data such as customer emails.

• B. Incorrect.

  Computer Vision is not appropriate in this scenario because it deals with analyzing visual data like images and videos, not text classification.

• C. Incorrect.

  Anomaly Detection is used to identify unusual patterns or deviations in data, such as fraud detection, which does not align with the task of categorizing emails.

• D. Incorrect.

  Recommendation Systems are designed to suggest items or content, such as movies or products, based on user preferences, which is unrelated to email classification.

Correct answer: B

• A. Incorrect.

  Computer Vision is primarily focused on analyzing and processing visual data such as images and videos. It is not suitable for text-based tasks like analyzing customer sentiment.

• B. Correct.

  Natural Language Processing (NLP) is the appropriate AI workload for analyzing text data, such as customer reviews, to determine sentiment or extract meaning from written content.

• C. Incorrect.

  Anomaly Detection is used to identify outliers or unusual patterns in data, such as detecting fraudulent transactions or system faults. It does not address text analysis or sentiment detection.

• D. Incorrect.

  Recommendation Systems are designed to suggest relevant items to users, such as products or content, based on their preferences or behavior. It is not applicable to sentiment analysis.

Correct answer: B

• A. Incorrect.

  Computer vision focuses on analyzing and interpreting visual data, such as images or videos, and is not related to text-based classification tasks.

• B. Correct.

  Natural language processing (NLP) is the appropriate AI workload for analyzing and categorizing text-based data, such as customer feedback.

• C. Incorrect.

  Anomaly detection is used to identify unusual patterns or deviations in data, such as detecting fraud or system failures, and does not apply to classifying text sentiment.

• D. Incorrect.

  Knowledge mining involves extracting insights from large, unstructured data sets, like documents or databases, but it does not specifically focus on text classification or sentiment analysis.

Correct answers: A, C

• A. Correct.

  Computer Vision is relevant because identifying products in images involves analyzing visual data to recognize objects.

• B. Incorrect.

  Natural Language Processing (NLP) is not applicable in this scenario since there is no text-based or language-based data to process.

• C. Correct.

  Recommendation Systems are relevant because recommending similar products aligns with the use case of providing personalized suggestions to customers.

• D. Incorrect.

  Anomaly Detection is not relevant as this scenario does not involve identifying unusual or unexpected patterns in data.

• E. Incorrect.

  Speech Recognition is not applicable because there is no audio or spoken language data involved in this scenario.