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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #71
You are training an LSTM-based model on AI Platform to summarize text using the following job submission script: gcloud ai-platform jobs submit training $JOB_NAME \ --package-path…
The correct answer is B. Modify the 'scale-tier' parameter. Changing the scale tier does not impact performance–only speeds up training time. Epochs, Batch size, and learning rate all are hyperparameters that might impact model accuracy.
Submitted by viktor_hu· Apr 18, 2026Monitoring, optimizing, and maintaining ML solutions
Question
You are training an LSTM-based model on AI Platform to summarize text using the following job submission script: gcloud ai-platform jobs submit training $JOB_NAME \ --package-path $TRAINER_PACKAGE_PATH \ --module-name $MAIN_TRAINER_MODULE \ --job-dir $JOB_DIR \ --region $REGION \ --scale-tier basic \ -- \ --epochs 20 \ --batch_size=32 \ --learning_rate=0.001 \ You want to ensure that training time is minimized without significantly compromising the accuracy of your model. What should you do?
Options
- AModify the 'epochs' parameter.
- BModify the 'scale-tier' parameter.
- CModify the 'batch size' parameter.
- DModify the 'learning rate' parameter.
How the community answered
(31 responses)- A19% (6)
- B71% (22)
- C6% (2)
- D3% (1)
Explanation
Changing the scale tier does not impact performance–only speeds up training time. Epochs, Batch size, and learning rate all are hyperparameters that might impact model accuracy.
Topics
#AI Platform Training#Training optimization#Resource management#Scale-tier
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