Machine Learning Specialty (Page 11)

A city wants to monitor its air quality to address the consequences of air pollution.A Machine Learning Specialist needs to forecast the air quality in parts per million of contaminates for the next 2 days in the city.As this is a prototype, only daily data from the last year is available.Which model is MOST likely to provide the best results in Amazon SageMaker?Read More →

A Data Engineer needs to build a model using a dataset containing customer credit card informationHow can the Data Engineer ensure the data remains encrypted and the credit card information is secure?Read More →

A Machine Learning Specialist is using an Amazon SageMaker notebook instance in a private subnet of a corporate VPC.The ML Specialist has important data stored on the Amazon SageMaker notebook instance’s Amazon EBS volume, and needs to take a snapshot of that EBS volume.However, the ML Specialist cannot find the Amazon SageMaker notebook instance’s EBS volume or Amazon EC2 instance within the VPC.Why is the ML Specialist not seeing the instance visible in the VPC?Read More →

A Machine Learning Specialist is building a model that will perform time series forecasting using Amazon SageMaker.The Specialist has finished training the model and is now planning to perform load testing on the endpoint so they can configure Auto Scaling for the model variant.Which approach will allow the Specialist to review the latency, memory utilization, and CPU utilization during the load test?Read More →

A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket.A Machine Learning Specialist wants to use SQL to run queries on this data.Which solution requires the LEAST effort to be able to query this data?Read More →

A Machine Learning Specialist is developing a custom video recommendation model for an application.The dataset used to train this model is very large with millions of data points and is hosted in an Amazon S3 bucket.The Specialist wants to avoid loading all of this data onto an Amazon SageMaker notebook instance because it would take hours to move and will exceed the attached 5 GB Amazon EBS volume on the notebook instance.Which approach allows the Specialist to use all the data to train the model?Read More →

A Machine Learning Specialist receives customer data for an online shopping website.The data includes demographics, past visits, and locality information.TheSpecialist must develop a machine learning approach to identify the customer shopping patterns, preferences, and trends to enhance the website for better service and smart recommendations.Which solution should the Specialist recommend?Read More →

A Machine Learning Specialist is working with a large company to leverage machine learning within its products.The company wants to group its customers into categories based on which customers will and will not churn within the next 6 months.The company has labeled the data available to the Specialist.Which machine learning model type should the Specialist use to accomplish this task?Read More →

A Machine Learning Specialist at a company sensitive to security is preparing a dataset for model training.The dataset is stored in Amazon S3 and containsPersonally Identifiable Information (PII).The dataset:✑ Must be accessible from a VPC only.✑ Must not traverse the public internet.How can these requirements be satisfied?Read More →

During mini-batch training of a neural network for a classification problem, a Data Scientist notices that training accuracy oscillates.What is the MOST likely cause of this issue?Read More →