Where do calls to stdout and stderr from score.py go in a model deployment?
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Correct answer: A
1Z0-1110-22 Real Exam Questions
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Where do calls to stdout and stderr from score.py go in a model deployment?
Correct answer: A
You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog.
How would you design the authentication mechanism for the job?
Correct answer: B
Which TWO statements are true about published conda environments?
Correct answers: A, C
You trained a model to predict housing prices for your city.
Which two metrics from the Ac-celerated Data Science (ADS) Evaluation class can be used to evaluate the regression model you just trained?
Correct answers: A, B
For your next data science project, you need access to public geospatial images.
Which Oracle Cloud service provides free access to those images?
Correct answer: D
You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a time stamp.
What part of the Data Science life cycle would you be in when creating the new variable?
Correct answer: B
You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolder and classes.
What is the best way to run this project as a job?
Correct answer: A
Six months ago, you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions.
Which TWO methods customer churn would you employ to verify the accuracy of the model?
Correct answers: B, D
You have just received a new data set from a colleague.
You want to quickly find out summary information about the data set, such as the types of features, total number of observations, and datadistributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?
Correct answer: A
The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora- cle_automl and now you want an output with all the different trials performed by Oracle Au-toML.
Which of the following command gives you the results of all the trials?
Correct answer: C