Question 64 of 280
Single answerYou recently designed and built a custom neural network that uses critical dependencies specific to your
organization’s framework. You need to train the model using a managed training service on Google Cloud.
However, the ML framework and related dependencies are not supported by AI Platform Training. Also, both your
model and your data are too large to fit in memory on a single machine. Your ML framework of choice uses the
scheduler, workers, and servers distribution structure. What should you do?
AUse a built-in model available on AI Platform Training.
BBuild your custom container to run jobs on AI Platform Training.
✓CBuild your custom containers to run distributed training jobs on AI Platform Training.
DReconfigure your code to a ML framework with dependencies that are supported by AI Platform Training.
✓
Correct Answer: C
Build your custom containers to run distributed training jobs on AI Platform Training.
▥
Explanation
The correct answer is highlighted above. Review the wording carefully, then use the next question to continue building your understanding of Google certification topics.