MLS-C01 · Question #175
MLS-C01 Question #175: Real Exam Question with Answer & Explanation
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Question
A company is launching a new product and needs to build a mechanism to monitor comments about the company and its new product on social media. The company needs to be able to evaluate the sentiment expressed in social media posts, and visualize trends and configure alarms based on various thresholds. The company needs to implement this solution quickly, and wants to minimize the infrastructure and data science resources needed to evaluate the messages. The company already has a solution in place to collect posts and store them within an Amazon S3 bucket. What services should the data science team use to deliver this solution?
Options
- ATrain a model in Amazon SageMaker by using the BlazingText algorithm to detect sentiment in
- BTrain a model in Amazon SageMaker by using the semantic segmentation algorithm to model the
- CTrigger an AWS Lambda function when social media posts are added to the S3 bucket.
- DTrigger an AWS Lambda function when social media posts are added to the S3 bucket.
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