MLS-C01 (Page 18)

A data scientist uses Amazon SageMaker Data Wrangler to analyze and visualize data.The data scientist wants to refine a training dataset by selecting predictor variables that are strongly predictive of the target variable.The target variable correlates with other predictor variables.The data scientist wants to understand the variance in the data along various directions in the feature space.Which solution will meet these requirements?Read More →

A machine learning (ML) engineer is preparing a dataset for a classification model.The ML engineer notices that some continuous numeric features have a significantly greater value than most other features.A business expert explains that the features are independently informative and that the dataset is representative of the target distribution.After training, the model’s inferences accuracy is lower than expected.Which preprocessing technique will result in the GREATEST increase of the model’s inference accuracy?Read More →

A manufacturing company produces 100 types of steel rods.The rod types have varying material grades and dimensions.The company has sales data for the steel rods for the past 50 years.A data scientist needs to build a machine learning (ML) model to predict future sales of the steel rods.Which solution will meet this requirement in the MOST operationally efficient way?Read More →

A company builds computer-vision models that use deep learning for the autonomous vehicle industry.A machine learning (ML) specialist uses an Amazon EC2 instance that has a CPU:GPU ratio of 12:1 to train the models.The ML specialist examines the instance metric logs and notices that the GPU is idle half of the time.The ML specialist must reduce training costs without increasing the duration of the training jobs.Which solution will meet these requirements?Read More →

A company deployed a machine learning (ML) model on the company website to predict real estate prices.Several months after deployment, an ML engineer notices that the accuracy of the model has gradually decreased.The ML engineer needs to improve the accuracy of the model.The engineer also needs to receive notifications for any future performance issues.Which solution will meet these requirements?Read More →

A large consumer goods manufacturer has the following products on sale:* 34 different toothpaste variants* 48 different toothbrush variants* 43 different mouthwash variantsThe entire sales history of all these products is available in Amazon S3. Currently, the company is using custom-built autoregressive integrated moving average(ARIMA) models to forecast demand for these products. The company wants to predict the demand for a new product that will soon be launched.Which solution should a Machine Learning Specialist apply?Read More →

A Machine Learning Specialist has created a deep learning neural network model that performs well on the training data but performs poorly on the test data.Which of the following methods should the Specialist consider using to correct this? (Choose three.)Read More →

A Data Scientist is developing a machine learning model to predict future patient outcomes based on information collected about each patient and their treatment plans.The model should output a continuous value as its prediction.The data available includes labeled outcomes for a set of 4,000 patients.The study was conducted on a group of individuals over the age of 65 who have a particular disease that is known to worsen with age.Initial models have performed poorly.While reviewing the underlying data, the Data Scientist notices that, out of 4,000 patient observations, there are 450 where the patient age has been input as 0.The other features for these observations appear normal compared to the rest of the sample populationHow should the Data Scientist correct this issue?Read More →

A company’s data engineer wants to use Amazon S3 to share datasets with data scientists.The data scientists work in three departments: Finance.Marketing, and Human Resources.Each department has its own IAM user group.Some datasets contain sensitive information and should be accessed only by the data scientists from the Finance department.How can the data engineer set up access to meet these requirements?Read More →

A company plans to build a custom natural language processing (NLP) model to classify and prioritize user feedback.The company hosts the data and all machine learning (ML) infrastructure in the AWS Cloud.The ML team works from the company’s office, which has an IPsec VPN connection to one VPC in the AWS Cloud.The company has set both the enableDnsHostnames attribute and the enableDnsSupport attribute of the VPC to true.The company’s DNS resolvers point to the VPC DNS.The company does not allow the ML team to access Amazon SageMaker notebooks through connections that use the public internet.The connection must stay within a private network and within the AWS internal network.Which solution will meet these requirements with the LEAST development effort?Read More →