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NEW QUESTION 47
You are in a directory on your machine with your experiment config file and your model code. You enter this command:
det experiment create myfile.yaml
You receive this error:
det experiment create: error: the following arguments are required: model_def What should you do?

A. Re-enter the command with "-m" in which is the code filename.B. Re-enter the command with a period (.) at the end.C. Make sure that you have already logged into the cluster with the "det login'' command.D. Make sure that the myfile.yaml tile includes code tor a PyTorchTrial or TFKerasTrial class.

Answer: D

 

NEW QUESTION 48
A company has recently expanded its ml engineering resources from 5 CPUs 1012 GPUs.
What challenge is likely to continue to stand in the way of accelerating deep learning (DU training?

A. A lack of adequate power and cooling for the GPU-enabled serversB. A lack of understanding of the DL model architecture by the NL engineering teamC. The requirement that the ML team must wait for the IT team to initiate each new training processD. The complexity of adjusting model code to distribute the training process across multiple GPUs

Answer: B

 

NEW QUESTION 49
A company has an HPE Machine Learning Development Environment cluster. The ML engineers store training and validation data sets in Google Cloud Storage (GCS). What is an advantage of streaming the data during a trial, as opposed to downloading the data?

A. Streaming requires just one bucket, while downloading requires many.B. Setting up streaming is easier that setting up downloading.C. The trial can more quickly start up and begin training the model.D. The trial can better separate training and validation data.

Answer: D

 

NEW QUESTION 50
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