MLS-C01 practice question 1 of 35
[Modeling] A data scientist is trying to improve the accuracy of a neural network classification model. The data scientist wants to run a large…
Choose your answer, then check it against the explanation.
[Modeling]
A data scientist is trying to improve the accuracy of a neural network classification model. The data
scientist wants to run a large hyperparameter tuning job in Amazon SageMaker.
However, previous smaller tuning jobs on the same model often ran for several weeks. The ML
specialist wants to reduce the computation time required to run the tuning job.
Which actions will MOST reduce the computation time for the hyperparameter tuning job? (Select
TWO.)
Question 1 of 35
Keep practicing
Take the free MLS-C01 practice test
Ten exam-style questions with answers and explanations, plus the exam facts and study guides.
More questions
Other MLS-C01 practice questions
- Question 2[Modeling] A financial services company wants to automate its loan approval process by bu…
- Question 3[Modeling] An insurance company is creating an application to automate car insurance clai…
- Question 4[Modeling] An ecommerce company has used Amazon SageMaker to deploy a factorization machi…
- Question 5[Machine Learning Implementation and Operations] A company operates an amusement park. Th…
- Question 6[Data Engineering] A technology startup is using complex deep neural networks and GPU com…
- Question 7[Data Engineering] A data science team is working with a tabular dataset that the team st…