What should you do?

You are training an LSTM-based model on Al Platform to summarize text using the following job submission script:

You want to ensure that training time is minimized without significantly compromising the accuracy of your model.

What should you do?
A . Modify the ‘epochs’ parameter
B . Modify the ‘scale-tier’ parameter
C . Modify the batch size’ parameter
D . Modify the ‘learning rate’ parameter

Answer: B

Explanation:

https://cloud.google.com/ai-platform/training/docs/machine-types#scale_tiers

Google may optimize the configuration of the scale tiers for different jobs over time, based on customer feedback and the availability of cloud resources. Each scale tier is defined in terms of its suitability for certain types of jobs. Generally, the more advanced the tier, the more machines are allocated to the cluster, and the more powerful the specifications of each virtual machine. As you increase the complexity of the scale tier, the hourly cost of training jobs, measured in training units, also increases. See the pricing page to calculate the cost of your job.