An interactive online dictionary wants to add a widget that displays words used in similar contexts. A Machine Learning Specialist is asked to provide word features for the downstream nearest neighbor model powering the widget. What should the Specialist do to meet these requirements?A . Create one-hot word encoding vectors.B . Produce a set...
What does the Specialist need to do?
A Machine Learning Specialist is packaging a custom ResNet model into a Docker container so the company can leverage Amazon SageMaker for training. The Specialist is using Amazon EC2 P3 instances to train the model and needs to properly configure the Docker container to leverage the NVIDIA GPUs. What does the Specialist need to...
How can these requirements be satisfied?
A Machine Learning Specialist at a company sensitive to security is preparing a dataset for model training. The dataset is stored in Amazon S3 and contains Personally Identifiable Information (PII). The dataset: – Must be accessible from a VPC only. – Must not traverse the public internet. How can these requirements be satisfied?A ....
Which solution should the Specialist recommend?
A Machine Learning Specialist receives customer data for an online shopping website. The data includes demographics, past visits, and locality information. The Specialist must develop a machine learning approach to identify the customer shopping patterns, preferences, and trends to enhance the website-for better service and smart recommendations. Which solution should the Specialist recommend?A ....
Which of the following are the operations the Specialist needs to perform to correctly sanitize and prepare the data in a repeatable manner?
A Machine Learning Specialist is creating a new natural language processing application that processes a dataset comprised of 1 million sentences. The aim is to then run Word2Vec to generate embeddings of the sentences and enable different types of predictions. Here is an example from the dataset: "The quck BROWN FOX jumps over the...
What option can the Specialist use to determine whether it is overestimating or underestimating the target value?
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?A . Root Mean Square Error (RMSE)B ....
Which approach will allow the Specialist to review the latency, memory utilization, and CPU utilization during the load test?
A Machine Learning Specialist is building a model that will perform time series forecasting using Amazon SageMaker. The Specialist has finished training the model and is now planning to perform load testing on the endpoint so they can configure Auto Scaling for the model variant. Which approach will allow the Specialist to review the...
Which solution requires the LEAST effort to be able to query this data?
A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket. A Machine Learning Specialist wants to use SQL to run queries on this data. Which solution requires the LEAST effort to be able to query this data?A . Use AWS Data Pipeline to transform the data and Amazon RDS to...
Which storage scheme is MOST adapted to this scenario?
A Data Science team is designing a dataset repository where it will store a large amount of training data commonly used in its machine learning models. As Data Scientists may create an arbitrary number of new datasets every day, the solution has to scale automatically and be cost-effective. Also, it must be possible to...
Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?
The displayed graph is from a forecasting model for testing a time series. Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?A . The model predicts both the trend and the seasonality wellB . The model predicts the trend well, but not the seasonality.C ....