Machine Learning Specialty (Page 9)

A machine learning (ML) specialist must develop a classification model for a financial services company.A domain expert provides the dataset, which is tabular with 10,000 rows and 1,020 features.During exploratory data analysis, the specialist finds no missing values and a small percentage of duplicate rows.There are correlation scores of > 0.9 for 200 feature pairs.The mean value of each feature is similar to its 50th percentile.Which feature engineering strategy should the ML specialist use with Amazon SageMaker?Read More →

A data scientist has been running an Amazon SageMaker notebook instance for a few weeks.During this time, a new version of Jupyter Notebook was released along with additional software updates.The security team mandates that all running SageMaker notebook instances use the latest security and software updates provided by SageMaker.How can the data scientist meet this requirements?Read More →

A retail company wants to combine its customer orders with the product description data from its product catalog.The structure and format of the records in each dataset is different.A data analyst tried to use a spreadsheet to combine the datasets, but the effort resulted in duplicate records and records that were not properly combined.The company needs a solution that it can use to combine similar records from the two datasets and remove any duplicates.Which solution will 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 →

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 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 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 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 →

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 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 →