A: Sequential runs —Inefficient for parallel tasks. B: Simultaneous runs —Maximizes parallelism —correct. C: False —Jobs support parallelism. D: One job per run—Misstates capability, wasteful. Reasoning: B leverages OCI’s parallel run support. Conclusion: B is correct. OCI documentation states: “For embarrassingly parallel tasks, create one Job and launch multiple simultaneous Job Runs (B) to process data efficiently.” A is slow, C is incorrect, and Dovercomplicates —B is the best approach. : Oracle Cloud Infrastructure Data Science Documentation, "Parallel Job Execution". You have received machine learning model training code, without clear information about the optimal shape to run the training. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?
is the best way to run this project as a Job?
timeout. : Oracle Cloud Infrastructure Data Science Documentation, "Notebook Networking". Six months ago, you created and deployed a model that predicts customer churn for a call centre. Initially, it was yielding quality predictions. However, over the last two months, users are questioning the credibility of the predictions. Which TWO methods would you employ to verify the accuracy of the model?
environment E. In addition to service job run environment variables, conda environment variables can be used inData Science Jobs Explanation: Detailed Answer in Step -by-Step Solution: Objective: Identify true statements about published conda environments in OCI. Understand Published Conda: Custom envs shared via Object Storage. Evaluate Options: A: False —Users create them, not OCI -curated. B: True —odsc conda init sets up access to published envs. C: False —Object Storage, not notebook, is the source. D: False —Can create from scratch, not just modifications. E: True —Conda env vars extend job configs. Reasoning: B configures access, E enhances flexibility —match OCI behavior. Conclusion: B and E are correct. OCI documentation states: “odsc conda init (B) configures the bucket for published conda environments, and Jobs can use conda environment variables (E) alongside service vars.” A misattributes curation, C misplaces source, and D limits creation —only B and E are true per OCI’s conda management. : Oracle Cloud Infrastructure Data Science Documentation, "Published Conda Environments". You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket. Which TWO commands are required to publish the conda environment?
OCI documentation states: “To publish a conda environment, first run odsc conda init (C) with bucket namespace and name, then odsc conda publish (A) with a slug to upload to Object Storage.” B, D, and E serve other purposes —only A and C are required per OCI’s process. : Oracle Cloud Infrastructure Data Science CLI Reference, "Publishing Conda Environments". When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) DataScience model catalog, you create a score.py file. What is the purpose of the score.py file?
➢ TOTAL QUESTIONS: 308 A bike sharing platform has collected user commute data for the past 3 years. For increasing profitability and making useful inferences, a machine learning model needs to be built from the accumulated data. Which of the following options has the correct order of the required machine learning tasks for building a model?
