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NEW QUESTION 29
You have received machine learning model training code, without clear information about the optimal shape to run the training on. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?

• A. Start with a random compute shape and monitor the utilization metrics and time required to finish the model training Perform model training optimizations and performance tests in advance to identify the right compute shape before running the model training as a job.
• B. Start with the strangest compute shape Jobs support and monitor the Job Run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost.
• C. Start with a smaller shape and monitor the Job Run metrics and time required to complete the model training: If the compute shape is not fully utilized, tune the model parameters, and rerun the job. Repeat the process until the shape resources are fully utilized.
• D. Start with a smaller shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and re-run the job. Repeat the process until the processing time does not improve.

Answer: D

NEW QUESTION 30
You have trained three different models on your data set using Oracle AutoML. You want to visualize the behavior of each of the models, including the baseline model, on the test set. Which class should be used from the Accelerated Data Science (ADS) SDK to visually compare the models?

• A. ADS Evaluator
• B. ADSTuner
• C. EvaluationMetrics
• D. ADS Explainer

Answer: C

NEW QUESTION 31
The Accelerated Data Science (ADS) model evaluation classes support different types of ma-chine learning modeling techniques Which THREE types of modeling techniques are supported by ADS Evaluators?

• A. Binary Classification
• B. Principal Component Analysis
• C. Multiclass Classification
• D. Regression Analysis
• E. Recurrent Neural Network
• F. K-Means Clustering

Answer: A,C,D

NEW QUESTION 32
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?

• A. Image classification
• B. Document classification
• C. Key Value extraction
• D. Text recognition

Answer: D

NEW QUESTION 33
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