NCA-GENM Question 63
Select 3A retail company wants to leverage its large dataset of customer transactions to improve product recommendations using generative AI. Which of the following steps are crucial in the process of extracting insights from the dataset to achieve this goal?
- A
Clean and preprocess the dataset to handle missing or inconsistent data.
- B
Visualize the dataset to identify trends, patterns, and outliers.
- C
Train a generative AI model without analyzing the dataset, as it will automatically identify patterns.
- D
Use data mining techniques to extract meaningful relationships within the dataset.
- E
Deploy the model directly without testing or validating its outputs.
Show answer and explanation
Correct answers: A, B, D
Explanation
To extract insights from large datasets for building effective generative AI models, it is necessary to follow a systematic process that includes cleaning and preprocessing the data, visualizing it to understand its characteristics, and applying data mining techniques to uncover relationships. Skipping these steps or neglecting validation and testing can lead to unreliable results and poor model performance.
- A. Correct.
Data cleaning and preprocessing are critical to ensure the dataset is consistent, complete, and ready for analysis. This step is essential for obtaining reliable insights.
- B. Correct.
Data visualization helps identify trends, patterns, and outliers, which are key to understanding the dataset before model training.
- C. Incorrect.
Training a generative AI model without analyzing the dataset is not a best practice, as it may lead to biased or unreliable outputs.
- D. Correct.
Data mining techniques are necessary to extract meaningful relationships and insights from the dataset, which can then inform the model's training process.
- E. Incorrect.
Deploying the model without testing or validation can result in incorrect or harmful outputs, as the model's performance and relevance must be verified first.