For the given confusion matrix, what is the recall and precision of the model?

1. A. Recall = 0.92 Precision = 0.84
2. B. Recall = 0.84 Precision = 0.8
3. C. Recall = 0.92 Precision = 0.8
4. D. Recall = 0.8 Precision = 0.92

Correct Answer: C

A library is developing an automatic book-borrowing system that uses Amazon Rekognition. Images of library members’ faces are stored in an Amazon S3 bucket. When members borrow books, the Amazon Rekognition CompareFaces API operation compares real faces against the stored faces in Amazon S3.
The library needs to improve security by making sure that images are encrypted at rest. Also, when the images are used with Amazon Rekognition. they need to be encrypted in transit. The library also must ensure that the images are not used to improve Amazon Rekognition as a service.
How should a machine learning specialist architect the solution to satisfy these requirements?

1. A. Enable server-side encryption on the S3 bucke
2. B. Submit an AWS Support ticket to opt out of allowing images to be used for improving the service, and follow the process provided by AWS Support.
3. C. Switch to using an Amazon Rekognition collection to store the image
4. D. Use the IndexFaces andSearchFacesByImage API operations instead of the CompareFaces API operation.
5. E. Switch to using the AWS GovCloud (US) Region for Amazon S3 to store images and for Amazon Rekognition to compare face
6. F. Set up a VPN connection and only call the Amazon Rekognition API operations through the VPN.
7. G. Enable client-side encryption on the S3 bucke
8. H. Set up a VPN connection and only call the Amazon Rekognition API operations through the VPN.

Correct Answer: B

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 trained model is applied to a previously unseen validation dataset. The accuracy of the model is 99.1%, but the Data Scientist has been asked to reduce the number of false negatives.

Which combination of steps should the Data Scientist take to reduce the number of false positive predictions by the model? (Select TWO.)

1. A. Change the XGBoost eval_metric parameter to optimize based on rmse instead of error.
2. B. Increase the XGBoost scale_pos_weight parameter to adjust the balance of positive and negative weights.
3. C. Increase the XGBoost max_depth parameter because the model is currently underfitting the data.
4. D. Change the XGBoost evaljnetric parameter to optimize based on AUC instead of error.
5. E. Decrease the XGBoost max_depth parameter because the model is currently overfitting the data.

Correct Answer: DE

A logistics company needs a forecast model to predict next month's inventory requirements for a single item in 10 warehouses. A machine learning specialist uses Amazon Forecast to develop a forecast model from 3 years of monthly data. There is no missing data. The specialist selects the DeepAR+ algorithm to train a predictor. The predictor means absolute percentage error (MAPE) is much larger than the MAPE produced by the current human forecasters.
Which changes to the CreatePredictor API call could improve the MAPE? (Choose two.)

1. A. Set PerformAutoML to true.
2. B. Set ForecastHorizon to 4.
3. C. Set ForecastFrequency to W for weekly.
4. D. Set PerformHPO to true.
5. E. Set FeaturizationMethodName to filling.

Correct Answer: CD

Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure?

1. A. The true class frequency for Romance is 77.56% and the predicted class frequency for Adventure is 20 85%
2. B. The true class frequency for Romance is 57.92% and the predicted class frequency for Adventure is 1312%
3. C. The true class frequency for Romance is 0 78 and the predicted class frequency for Adventure is (0 47 - 0.32).
4. D. The true class frequency for Romance is 77.56% * 0.78 and the predicted class frequency for Adventure is 20 85% ' 0.32

Correct Answer: B
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