MLS-C01 (Page 23)

A company sells thousands of products on a public website and wants to automatically identify products with potential durability problems.The company has1.000 reviews with date, star rating, review text, review summary, and customer email fields, but many reviews are incomplete and have empty fields.Each review has already been labeled with the correct durability result.A machine learning specialist must train a model to identify reviews expressing concerns over product durability.The first model needs to be trained and ready to review in 2 days.What is the MOST direct approach to solve this problem within 2 days?Read More →

A data scientist has a dataset of machine part images stored in Amazon Elastic File System (Amazon EFS).The data scientist needs to use Amazon SageMaker to create and train an image classification machine learning model based on this dataset.Because of budget and time constraints, management wants the data scientist to create and train a model with the least number of steps and integration work required.How should the data scientist meet these requirements?Read More →

A music streaming company is building a pipeline to extract features.The company wants to store the features for offline model training and online inference.The company wants to track feature history and to give the company’s data science teams access to the features.Which solution will meet these requirements with the MOST operational efficiency?Read More →

A global company receives and processes hundreds of documents daily.The documents are in printed .pdf format or .jpg format.A machine learning (ML) specialist wants to build an automated document processing workflow to extract text from specific fields from the documents and to classify the documents.The ML specialist wants a solution that requires low maintenance.Which solution will meet these requirements with the LEAST operational effort?Read More →

A machine learning (ML) specialist is developing a deep learning sentiment analysis model that is based on data from movie reviews.After the ML specialist trains the model and reviews the model results on the validation set, the ML specialist discovers that the model is overfitting.Which solutions will MOST improve the model generalization and reduce overfitting? (Choose three.)Read More →

A Machine Learning Specialist works for a credit card processing company and needs to predict which transactions may be fraudulent in near-real time.Specifically, the Specialist must train a model that returns the probability that a given transaction may fraudulent.How should the Specialist frame this business problem?Read More →

A retail company stores 100 GB of daily transactional data in Amazon S3 at periodic intervals.The company wants to identify the schema of the transactional data.The company also wants to perform transformations on the transactional data that is in Amazon S3.The company wants to use a machine learning (ML) approach to detect fraud in the transformed data.Which combination of solutions will meet these requirements with the LEAST operational overhead? (Choose three.)Read More →

A Data Science team within a large company uses Amazon SageMaker notebooks to access data stored in Amazon S3 buckets.The IT Security team is concerned that internet-enabled notebook instances create a security vulnerability where malicious code running on the instances could compromise data privacy.The company mandates that all instances stay within a secured VPC with no internet access, and data communication traffic must stay within the AWS network.How should the Data Science team configure the notebook instance placement to meet these requirements?Read More →

A Machine Learning Specialist working for an online fashion company wants to build a data ingestion solution for the company’s Amazon S3-based data lake.The Specialist wants to create a set of ingestion mechanisms that will enable future capabilities comprised of:✑ Real-time analytics✑ Interactive analytics of historical data✑ Clickstream analytics✑ Product recommendationsWhich services should the Specialist use?Read More →

A monitoring service generates 1 TB of scale metrics record data every minute.A Research team performs queries on this data using Amazon Athena.The queries run slowly due to the large volume of data, and the team requires better performance.How should the records be stored in Amazon S3 to improve query performance?Read More →