Valid Associate-Data-Practitioner Dumps shared by ExamDiscuss.com for Helping Passing Associate-Data-Practitioner Exam! ExamDiscuss.com now offer the newest Associate-Data-Practitioner exam dumps, the ExamDiscuss.com Associate-Data-Practitioner exam questions have been updated and answers have been corrected get the newest ExamDiscuss.com Associate-Data-Practitioner dumps with Test Engine here:
Your retail company wants to analyze customer reviews to understand sentiment and identify areas for improvement. Your company has a large dataset of customer feedback text stored in BigQuery that includes diverse language patterns, emojis, and slang. You want to build a solution to classify customer sentiment from the feedback text. What should you do?
Correct Answer: B
Comprehensive and Detailed in Depth Explanation: Why B is correct:AutoML Natural Language is designed for text classification tasks, including sentiment analysis, and can handle diverse language patterns without extensive preprocessing. AutoML can train a custom model with minimal coding. Why other options are incorrect:A: Unnecessary extra preprocessing. AutoML can handle the raw data. C: Dataproc and Spark are overkill for this task. AutoML is more efficient and easier to use. D: Developing a custom TensorFlow model requires significant expertise and time, which is not efficient for this scenario.
