AI-900 Question 1
Select 2A retail company wants to implement an AI solution to analyze customer purchase patterns and predict future sales. Which of the following workloads are most suitable for this scenario?
- A
Machine learning
- B
Computer vision
- C
Natural language processing
- D
Anomaly detection
- E
Conversational AI
Show answer and explanation
Correct answers: A, D
Explanation
The most appropriate workloads for this scenario are machine learning and anomaly detection. Machine learning enables the creation of predictive models for sales forecasting based on historical data, while anomaly detection helps identify irregularities in purchase behavior that could affect the predictions. Other workloads, such as computer vision, natural language processing, and conversational AI, do not align with the company's objective of analyzing customer purchase patterns and predicting future sales.
- 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.