MLS-C01 (Page 3)

A company wants to use machine learning (ML) to improve its customer churn prediction model.The company stores data in an Amazon Redshift data warehouse.A data science team wants to use Amazon Redshift machine learning (Amazon Redshift ML) to build a model and run predictions for new data directly within the data warehouse.Which combination of steps should the company take to use Amazon Redshift ML to meet these requirements? (Choose three.)Read More →

A company’s machine learning (ML) team needs to build a system that can detect whether people in a collection of images are wearing the company’s logo.The company has a set of labeled training data.Which algorithm should the ML team use to meet this requirement?Read More →

A data scientist uses Amazon SageMaker Data Wrangler to obtain a feature summary from a dataset that the data scientist imported from Amazon S3.The data scientist notices that the prediction power for a dataset feature has a score of 1.What is the cause of the score?Read More →

A machine learning (ML) specialist is developing a model for a company.The model will classify and predict sequences of objects that are displayed in a video.The ML specialist decides to use a hybrid architecture that consists of a convolutional neural network (CNN) followed by a classifier three-layer recurrent neural network (RNN).The company developed a similar model previously but trained the model to classify a different set of objects.The ML specialist wants to save time by using the previously trained model and adapting the model for the current use case and set of objects.Which combination of steps will accomplish this goal with the LEAST amount of effort? (Choose two.)Read More →

A company distributes an online multiple-choice survey to several thousand people.Respondents to the survey can select multiple options for each question.A machine learning (ML) engineer needs to comprehensively represent every response from all respondents in a dataset.The ML engineer will use the dataset to train a logistic regression model.Which solution will meet these requirements?Read More →

A manufacturing company stores production volume data in a PostgreSQL database.The company needs an end-to-end solution that will give business analysts the ability to prepare data for processing and to predict future production volume based the previous year’s production volume.The solution must not require the company to have coding knowledge.Which solution will meet these requirements with the LEAST effort?Read More →

A company uses sensors on devices such as motor engines and factory machines to measure parameters, temperature and pressure.The company wants to use the sensor data to predict equipment malfunctions and reduce services outages.Machine learning (ML) specialist needs to gather the sensors data to train a model to predict device malfunctions.The ML specialist must ensure that the data does not contain outliers before training the model.How can the ML specialist meet these requirements with the LEAST operational overhead?Read More →

A news company is developing an article search tool for its editors.The search tool should look for the articles that are most relevant and representative for particular words that are queried among a corpus of historical news documents.The editors test the first version of the tool and report that the tool seems to look for word matches in general.The editors have to spend additional time to filter the results to look for the articles where the queried words are most important.A group of data scientists must redesign the tool so that it isolates the most frequently used words in a document.The tool also must capture the relevance and importance of words for each document in the corpus.Which solution meets these requirements?Read More →

A company wants to detect credit card fraud.The company has observed that an average of 2% of credit card transactions are fraudulent.A data scientist trains a classifier on a year’s worth of credit card transaction data.The classifier needs to identify the fraudulent transactions.The company wants to accurately capture as many fraudulent transactions as possible.Which metrics should the data scientist use to optimize the classifier? (Choose two.)Read More →

A tourism company uses a machine learning (ML) model to make recommendations to customers.The company uses an Amazon SageMaker environment and set hyperparameter tuning completion criteria to MaxNumberOfTrainingJobs.An ML specialist wants to change the hyperparameter tuning completion criteria.The ML specialist wants to stop tuning immediately after an internal algorithm determines that tuning job is unlikely to improve more than 1% over the objective metric from the best training job.Which completion criteria will meet this requirement?Read More →