Machine Learning Specialty (Page 2)

A company has a podcast platform that has thousands of users.The company implemented an algorithm to detect low podcast engagement based on a 10-minute running window of user events such as listening to, pausing, and closing the podcast.A machine learning (ML) specialist is designing the ingestion process for these events.The ML specialist needs to transform the data to prepare the data for inference.How should the ML specialist design the transformation step to meet these requirements with the LEAST operational effort?Read More →

A pharmaceutical company performs periodic audits of clinical trial sites to quickly resolve critical findings.The company stores audit documents in text format.Auditors have requested help from a data science team to quickly analyze the documents.The auditors need to discover the 10 main topics within the documents to prioritize and distribute the review work among the auditing team members.Documents that describe adverse events must receive the highest priority.A data scientist will use statistical modeling to discover abstract topics and to provide a list of the top words for each category to help the auditors assess the relevance of the topic.Which algorithms are best suited to this scenario? (Choose two.)Read More →

A data scientist wants to build a financial trading bot to automate investment decisions.The financial bot should recommend the quantity and price of an asset to buy or sell to maximize long-term profit.The data scientist will continuously stream financial transactions to the bot for training purposes.The data scientist must select the appropriate machine learning (ML) algorithm to develop the financial trading bot.Which type of ML algorithm will meet these requirements?Read More →

A manufacturing company has a production line with sensors that collect hundreds of quality metrics.The company has stored sensor data and manual inspection results in a data lake for several months.To automate quality control, the machine learning team must build an automated mechanism that determines whether the produced goods are good quality, replacement market quality, or scrap quality based on the manual inspection results.Which modeling approach will deliver the MOST accurate prediction of product quality?Read More →

A company is planning a marketing campaign to promote a new product to existing customers.The company has data for past promotions that are similar.The company decides to try an experiment to send a more expensive marketing package to a smaller number of customers.The company wants to target the marketing campaign to customers who are most likely to buy the new product.The experiment requires that at least 90% of the customers who are likely to purchase the new product receive the marketing materials.The company trains a model by using the linear learner algorithm in Amazon SageMaker.The model has a recall score of 80% and a precision of 75%.How should the company retrain the model to meet these requirements?Read More →

A company operates an amusement park.The company wants to collect, monitor, and store real-time traffic data at several park entrances by using strategically placed cameras.The company’s security team must be able to immediately access the data for viewing.Stored data must be indexed and must be accessible to the company’s data science team.Which solution will meet these requirements MOST cost-effectively?Read More →

A company is building a predictive maintenance model for its warehouse equipment.The model must predict the probability of failure of all machines in the warehouse.The company has collected 10,000 event samples within 3 months.The event samples include 100 failure cases that are evenly distributed across 50 different machine types.How should the company prepare the data for the model to improve the model’s accuracy?Read More →

A company wants to create a data repository in the AWS Cloud for machine learning (ML) projects.The company wants to use AWS to perform complete ML lifecycles and wants to use Amazon S3 for the data storage.All of the company’s data currently resides on premises and is 40 ׀¢׀’ in size.The company wants a solution that can transfer and automatically update data between the on-premises object storage and Amazon S3.The solution must support encryption, scheduling, monitoring, and data integrity validation.Which solution meets these requirements?Read More →

A machine learning specialist works for a fruit processing company and needs to build a system that categorizes apples into three types.The specialist has collected a dataset that contains 150 images for each type of apple and applied transfer learning on a neural network that was pretrained on ImageNet with this dataset.The company requires at least 85% accuracy to make use of the model.After an exhaustive grid search, the optimal hyperparameters produced the following:✑ 68% accuracy on the training set✑ 67% accuracy on the validation setWhat can the machine learning specialist do to improve the system’s accuracy?Read More →

A Machine Learning Specialist previously trained a logistic regression model using scikit-learn on a local machine, and the Specialist now wants to deploy it to production for inference only.What steps should be taken to ensure Amazon SageMaker can host a model that was trained locally?Read More →