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Download Using HPE Cray AI Development Environment Exam Dumps

NEW QUESTION 36
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. Make sure that you have already logged into the cluster with the "det login'' command.
• B. Make sure that the myfile.yaml tile includes code tor a PyTorchTrial or TFKerasTrial class.
• C. Re-enter the command with a period (.) at the end.
• D. Re-enter the command with "-m" in which is the code filename.

Answer: B

NEW QUESTION 37
Your cluster uses Amazon S3 to store checkpoints. You ran an experiment on an HPE Machine Learning Development Environment cluster, you want to find the location tor the best checkpoint created during the experiment. What can you do?

• A. In the experiment config that you used, look for the "bucket" field under "hyperparameters." This is the UUID for checkpoints.
• B. Use the "det experiment download -top-n I" command, referencing the experiment ID.
• C. In the Web Ul, go to the Task page and click the checkpoint task that has the experiment ID.
• D. Look for a "determined-checkpoint/" bucket within Amazon S3, referencing your experiment ID.

Answer: B

NEW QUESTION 38
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 servers
• B. The complexity of adjusting model code to distribute the training process across multiple GPUs
• C. A lack of understanding of the DL model architecture by the NL engineering team
• D. The requirement that the ML team must wait for the IT team to initiate each new training process

Answer: C

NEW QUESTION 39
What distinguishes deep learning (DL) from other forms of machine learning (ML)?

• A. Models defined with Apache Spark rather than MapReduce
• B. Models based on neural networks with interconnected layers of nodes, including multiple hidden layers
• C. Models that are trained through unsupervised, rather than supervised, training
• D. Models trained through multiple training processes implemented by different team members

Answer: C

NEW QUESTION 40
An ml engineer wants to train a model on HPE Machine Learning Development Environment without implementing hyper parameter optimization (HPO). What experiment config fields configure this behavior?

• A. profiling: enabled: false
• B. searcher: name: single
• C. resources: slots_per_trial: 1
• D. hyperparameters; optimizer:none

Answer: C

NEW QUESTION 41
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