Practice Set 30

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.) [{"voted_answers": "CD", "vote_count": 7, "is_most_voted": true}]

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? [{"voted_answers": "D", "vote_count": 4, "is_most_voted": true}, {"voted_answers": "A", "vote_count": 1, "is_most_voted": false}]

A data scientist stores financial datasets in Amazon S3. The data scientist uses Amazon Athena to query the datasets by using SQL.The data scientist uses Amazon SageMaker to deploy a machine learning (ML) model. The data scientist wants to obtain inferences from the model at the SageMaker endpoint. However, when the data scientist attempts to invoke the SageMaker endpoint, the data scientist receives SQL statement failures. The data scientist’s IAM user is currently unable to invoke the SageMaker endpoint.Which combination of actions will give the data scientist’s IAM user the ability to invoke the SageMaker endpoint? (Choose three.) [{"voted_answers": "BCE", "vote_count": 6, "is_most_voted": true}, {"voted_answers": "ABE", "vote_count": 5, "is_most_voted": false}, {"voted_answers": "ABC", "vote_count": 1, "is_most_voted": false}]

A data scientist is building a linear regression model. The scientist inspects the dataset and notices that the mode of the distribution is lower than the median, and the median is lower than the mean.Which data transformation will give the data scientist the ability to apply a linear regression model? [{"voted_answers": "B", "vote_count": 6, "is_most_voted": true}]

A data scientist receives a collection of insurance claim records. Each record includes a claim ID. the final outcome of the insurance claim, and the date of the final outcome.The final outcome of each claim is a selection from among 200 outcome categories. Some claim records include only partial information. However, incomplete claim records include only 3 or 4 outcome categories from among the 200 available outcome categories. The collection includes hundreds of records for each outcome category. The records are from the previous 3 years.The data scientist must create a solution to predict the number of claims that will be in each outcome category every month, several months in advance.Which solution will meet these requirements? [{"voted_answers": "C", "vote_count": 7, "is_most_voted": true}, {"voted_answers": "D", "vote_count": 3, "is_most_voted": false}]

A retail company stores 100 GB of daily transactional data in Amazon S3 at periodic intervals. The company wants to identify the schema of the transactional data. The company also wants to perform transformations on the transactional data that is in Amazon S3.The company wants to use a machine learning (ML) approach to detect fraud in the transformed data.Which combination of solutions will meet these requirements with the LEAST operational overhead? (Choose three.) [{"voted_answers": "BDF", "vote_count": 6, "is_most_voted": true}]

A data scientist uses Amazon SageMaker Data Wrangler to define and perform transformations and feature engineering on historical data. The data scientist saves the transformations to SageMaker Feature Store.The historical data is periodically uploaded to an Amazon S3 bucket. The data scientist needs to transform the new historic data and add it to the online feature store. The data scientist needs to prepare the new historic data for training and inference by using native integrations.Which solution will meet these requirements with the LEAST development effort? [{"voted_answers": "D", "vote_count": 9, "is_most_voted": true}]

An insurance company developed a new experimental machine learning (ML) model to replace an existing model that is in production. The company must validate the quality of predictions from the new experimental model in a production environment before the company uses the new experimental model to serve general user requests.New one model can serve user requests at a time. The company must measure the performance of the new experimental model without affecting the current live traffic.Which solution will meet these requirements? [{"voted_answers": "C", "vote_count": 7, "is_most_voted": true}]

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? [{"voted_answers": "A", "vote_count": 6, "is_most_voted": true}, {"voted_answers": "D", "vote_count": 2, "is_most_voted": false}]

A university wants to develop a targeted recruitment strategy to increase new student enrollment. A data scientist gathers information about the academic performance history of students. The data scientist wants to use the data to build student profiles. The university will use the profiles to direct resources to recruit students who are likely to enroll in the university.Which combination of steps should the data scientist take to predict whether a particular student applicant is likely to enroll in the university? (Choose two.) [{"voted_answers": "AD", "vote_count": 9, "is_most_voted": true}, {"voted_answers": "AE", "vote_count": 2, "is_most_voted": false}]