MLA-C01 Practice Test 9

A factory is preparing temperature sensor data in Amazon SageMaker Canvas to train a predictive-maintenance model. The sensors are rated for -40°C to 125°C, but firmware glitches occasionally write placeholder readings of 9999 or -999. Each row also has vibration and pressure readings that the model needs. The engineer wants to get rid of the impossible temperatures without losing the rows, so that a later missing-value step can fill them in, and without altering any real readings, including legitimate extreme ones.

Which Handle outliers transform should the engineer apply to the temperature column?