MLS-C01 (Page 31)

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?Read More →

Machine Learning Specialist is building a model to predict future employment rates based on a wide range of economic factors.While exploring the data, theSpecialist notices that the magnitude of the input features vary greatly.The Specialist does not want variables with a larger magnitude to dominate the model.What should the Specialist do to prepare the data for model training?Read More →

A Machine Learning Specialist must build out a process to query a dataset on Amazon S3 using Amazon Athena.The dataset contains more than 800,000 records stored as plaintext CSV files.Each record contains 200 columns and is approximately 1.5 MB in size.Most queries will span 5 to 10 columns only.How should the Machine Learning Specialist transform the dataset to minimize query runtime?Read More →