MLS-C01 (Page 22)

An ecommerce company has used Amazon SageMaker to deploy a factorization machines (FM) model to suggest products for customers.The company’s data science team has developed two new models by using the TensorFlow and PyTorch deep learning frameworks.The company needs to use A/B testing to evaluate the new models against the deployed model.The required A/B testing setup is as follows:• Send 70% of traffic to the FM model, 15% of traffic to the TensorFlow model, and 15% of traffic to the PyTorch model.• For customers who are from Europe, send all traffic to the TensorFlow model.Which architecture can the company use to implement the required A/B testing setup?Read More →

A data scientist is using an Amazon SageMaker notebook instance and needs to securely access data stored in a specific Amazon S3 bucket.How should the data scientist accomplish this?Read More →

A company ingests machine learning (ML) data from web advertising clicks into an Amazon S3 data lake.Click data is added to an Amazon Kinesis data stream by using the Kinesis Producer Library (KPL).The data is loaded into the S3 data lake from the data stream by using an Amazon Kinesis Data Firehose delivery stream.As the data volume increases, an ML specialist notices that the rate of data ingested into Amazon S3 is relatively constant.There also is an increasing backlog of data for Kinesis Data Streams and Kinesis Data Firehose to ingest.Which next step is MOST likely to improve the data ingestion rate into Amazon S3?Read More →

A Machine Learning Specialist is developing a daily ETL workflow containing multiple ETL jobs.The workflow consists of the following processes:* Start the workflow as soon as data is uploaded to Amazon S3.* When all the datasets are available in Amazon S3, start an ETL job to join the uploaded datasets with multiple terabyte-sized datasets already stored in AmazonS3.* Store the results of joining datasets in Amazon S3.* If one of the jobs fails, send a notification to the Administrator.Which configuration will meet these requirements?Read More →

An agency collects census information within a country to determine healthcare and social program needs by province and city.The census form collects responses for approximately 500 questions from each citizen.Which combination of algorithms would provide the appropriate insights? (Choose two.)Read More →

A Machine Learning Specialist is preparing data for training on Amazon SageMaker.The Specialist is using one of the SageMaker built-in algorithms for the training.The dataset is stored in .CSV format and is transformed into a numpy.array, which appears to be negatively affecting the speed of the training.What should the Specialist do to optimize the data for training on SageMaker?Read More →

A Machine Learning Specialist is applying a linear least squares regression model to a dataset with 1,000 records and 50 features.Prior to training, the MLSpecialist notices that two features are perfectly linearly dependent.Why could this be an issue for the linear least squares regression model?Read More →

A real estate company wants to create a machine learning model for predicting housing prices based on a historical dataset.The dataset contains 32 features.Which model will meet the business requirement?Read More →

A Data Scientist is training a multilayer perception (MLP) on a dataset with multiple classes.The target class of interest is unique compared to the other classes within the dataset, but it does not achieve and acceptable recall metric.The Data Scientist has already tried varying the number and size of the MLP’s hidden layers, which has not significantly improved the results.A solution to improve recall must be implemented as quickly as possible.Which techniques should be used to meet these requirements?Read More →

A Machine Learning Specialist wants to determine the appropriate SageMakerVariantInvocationsPerInstance setting for an endpoint automatic scaling configuration.The Specialist has performed a load test on a single instance and determined that peak requests per second (RPS) without service degradation is about 20 RPS.As this is the first deployment, the Specialist intends to set the invocation safety factor to 0.5.Based on the stated parameters and given that the invocations per instance setting is measured on a per-minute basis, what should the Specialist set as theSageMakerVariantInvocationsPerInstance setting?Read More →