A Company's Machine Learning Specialist Needs to Improve the Training

question 24

Multiple Choice

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 is acceptable, but the company anticipates a continuous increase in the size of the training data and a need to update the model on an hourly, rather than a daily, basis. The company also wants to minimize coding effort and infrastructure changes. What should the Machine Learning Specialist do to the training solution to allow it to scale for future demand?

• A) Do not change the TensorFlow code. Change the machine to one with a more powerful GPU to speed up the training.
• B) Change the TensorFlow code to implement a Horovod distributed framework supported by Amazon SageMaker. Parallelize the training to as many machines as needed to achieve the business goals.
• C) Switch to using a built-in AWS SageMaker DeepAR model. Parallelize the training to as many machines as needed to achieve the business goals.
• D) Move the training to Amazon EMR and distribute the workload to as many machines as needed to achieve the business goals.

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Definitions:

Cognitive Factors

Refer to mental processes such as perception, memory, and reasoning that influence behavior and learning.

Attentional Processes

Refers to the cognitive functions that allow individuals to focus selectively on specific stimuli while ignoring others, affecting perception, memory, and decision-making.

Retention

Retention refers to the ability to keep or hold onto information, experiences, or material over time without losing it.

Production Processes

Refers to the series of steps or operations used to transform raw materials or components into finished goods or services.