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Which combination of steps should the Data Scientist take to reduce the number of false positive predictions by the model?
A Data Scientist is developing a machine learning model to classify whether a financial transaction is fraudulent. The labeled data available for training consists of 100,000 non-fraudulent observations and 1,000 fraudulent observations. The Data Scientist applies the XGBoost algorithm to the data, resulting in the following confusion matrix when the...
What can the Specialist from the experiments?
A Machine Learning Specialist discover the following statistics while experimenting on a model. What can the Specialist from the experiments?A . The model In Experiment 1 had a high variance error that was reduced in Experiment 3 by regularization Experiment 2 shows that there is minimal bias error in Experiment...
Why is the ML Specialist not seeing the instance visible in the VPC?
A Machine Learning Specialist is using an Amazon SageMaker notebook instance in a private subnet of a corporate VPC. The ML Specialist has important data stored on the Amazon SageMaker notebook instance's Amazon EBS volume, and needs to take a snapshot of that EBS volume. However the ML Specialist cannot...
What should the Machine Learning team do to address the requirements with the least amount of code and fewest steps?
A Machine Learning team uses Amazon SageMaker to train an Apache MXNet handwritten digit classifier model using a research dataset. The team wants to receive a notification when the model is overfitting. Auditors want to view the Amazon SageMaker log activity report to ensure there are no unauthorized API calls....
Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?
The displayed graph is from a foresting 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 well.B . The model predicts the trend well, but...
What should the Machine Learning Specialist do to the training solution to allow it to scale for future demand?
A company's Machine Learning Specialist needs to improve the training speed of a time-series forecasting model using TensorFlow. The training is currently implemented on a single-GPU machine and takes approximately 23 hours to complete. The training needs to be run daily. The model accuracy js acceptable, but the company anticipates...
Which of the following services would both ingest and store this data in the correct format?
A Machine Learning Specialist needs to be able to ingest streaming data and store it in Apache Parquet files for exploration and analysis. Which of the following services would both ingest and store this data in the correct format?A . AWSDMSB . Amazon Kinesis Data StreamsC . Amazon Kinesis Data...
Which function will produce the desired output?
A Machine Learning Specialist is building a convolutional neural network (CNN) that will classify 10 types of animals. The Specialist has built a series of layers in a neural network that will take an input image of an animal, pass it through a series of convolutional and pooling layers, and...
Which solution should the agency consider?
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...
Which method should the Specialist try to improve model performance?
A Machine Learning Specialist deployed a model that provides product recommendations on a company's website Initially, the model was performing very well and resulted in customers buying more products on average However within the past few months the Specialist has noticed that the effect of product recommendations has diminished and...
