MLS-C01 (Page 24)

A medical device company is building a machine learning (ML) model to predict the likelihood of device recall based on customer data that the company collects from a plain text survey.One of the survey questions asks which medications the customer is taking.The data for this field contains the names of medications that customers enter manually.Customers misspell some of the medication names.The column that contains the medication name data gives a categorical feature with high cardinality but redundancy.What is the MOST effective way to encode this categorical feature into a numeric feature?Read More →

A social media company wants to develop a machine learning (ML) model to detect inappropriate or offensive content in images.The company has collected a large dataset of labeled images and plans to use the built-in Amazon SageMaker image classification algorithm to train the model.The company also intends to use SageMaker pipe mode to speed up the training.The company splits the dataset into training, validation, and testing datasets.The company stores the training and validation images in folders that are named Training and Validation, respectively.The folders contain subfolders that correspond to the names of the dataset classes.The company resizes the images to the same size and generates two input manifest files named training.lst and validation.lst, for the training dataset and the validation dataset, respectively.Finally, the company creates two separate Amazon S3 buckets for uploads of the training dataset and the validation dataset.Which additional data preparation steps should the company take before uploading the files to Amazon S3?Read More →

A company wants to create an artificial intelligence (AШ) yoga instructor that can lead large classes of students.The company needs to create a feature that can accurately count the number of students who are in a class.The company also needs a feature that can differentiate students who are performing a yoga stretch correctly from students who are performing a stretch incorrectly.Determine whether students are performing a stretch correctly, the solution needs to measure the location and angle of each student’s arms and legs.A data scientist must use Amazon SageMaker to access video footage of a yoga class by extracting image frames and applying computer vision models.Which combination of models will meet these requirements with the LEAST effort? (Choose two.)Read More →

An insurance company is developing a new device for vehicles that uses a camera to observe drivers’ behavior and alert them when they appear distracted.The company created approximately 10,000 training images in a controlled environment that a Machine Learning Specialist will use to train and evaluate machine learning models.During the model evaluation, the Specialist notices that the training error rate diminishes faster as the number of epochs increases and the model is not accurately inferring on the unseen test images.Which of the following should be used to resolve this issue? (Choose two.)Read More →

An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office.Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES.The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally.The goal is to identify activities performed by non-employees in real timeWhich solution should the agency consider?Read More →

A company is setting up an Amazon SageMaker environment.The corporate data security policy does not allow communication over the internet.How can the company enable the Amazon SageMaker service without enabling direct internet access to Amazon SageMaker notebook instances?Read More →

A Data Scientist needs to create a serverless ingestion and analytics solution for high-velocity, real-time streaming data.The ingestion process must buffer and convert incoming records from JSON to a query-optimized, columnar format without data loss.The output datastore must be highly available, and Analysts must be able to run SQL queries against the data and connect to existing business intelligence dashboards.Which solution should the Data Scientist build to satisfy the requirements?Read More →

A Machine Learning Specialist wants to bring a custom algorithm to Amazon SageMaker.The Specialist implements the algorithm in a Docker container supported by Amazon SageMaker.How should the Specialist package the Docker container so that Amazon SageMaker can launch the training correctly?Read More →

A Machine Learning Specialist trained a regression model, but the first iteration needs optimizing.The Specialist needs to understand whether the model is more frequently overestimating or underestimating the target.What option can the Specialist use to determine whether it is overestimating or underestimating the target value?Read More →

A company offers an online shopping service to its customers.The company wants to enhance the site’s security by requesting additional information when customers access the site from locations that are different from their normal location.The company wants to update the process to call a machine learning (ML) model to determine when additional information should be requested.The company has several terabytes of data from its existing ecommerce web servers containing the source IP addresses for each request made to the web server.For authenticated requests, the records also contain the login name of the requesting user.Which approach should an ML specialist take to implement the new security feature in the web application?Read More →