D. Allows you to save the conda environment in a block volume Explanation: Detailed Answer in Step -by-Step Solution: Understand Published Conda Environments: In OCI Data Science, these are custom conda environments shared across users via Object Storage. Evaluate Options: A: Vague —All conda environments can address use cases; not unique to “published.” B: Incorrect —Availability on reactivation applies to session persistence, not publishing. C: Correct —Publishing saves the environment to Object Storage for sharing/reuse. D: Incorrect —Block volumes store session data, not published environments. Reasoning: The unique aspect of “published” environments is their storage in Object Storage (via odsc conda publish), enabling team access. Conclusion: C is the distinctive feature. The OCI Data Science documentation highlights that “published conda environments are saved to an OCI Object Storage Bucket, allowing them to be shared across notebook sessions and users.” This distinguishes C from A (generic), B (session -related), and D (block volume is for session state, not publishing). Publishing to Object Storage is the defining trait per Oracle’s design. : Oracle Cloud Infrastructure Data Science Documentation, "Managing Conda Environments - Publishing" section. What is a conda environment?
OCI documentation describes Conda as “an open -source package and environment management system that allows data scientists to create isolated environments with specific versions of Python and libraries.” A is too narrow, B misaligns with kernel concepts, and D ties it incorrectly to Oracle AI. C aligns with Conda’s official definition and OCI’s usage. : Oracle Cloud Infrastructure Data Science Documentation, "Conda Environments Overview". Which CLI command allows the customized conda environment to be shared with co -workers?
Detailed Answer in Step -by-Step Solution: Objective: Identify an open model format for cross -platform ML model execution. Evaluate Options: A . PySpark: A big data framework, not a model format. B . PyTorch: An ML framework with its own format, not inherently cross -platform without conversion. C . TensorFlow: An ML framework with its SavedModel format, not universally open across platforms. D . ONNX: Open Neural Network Exchange, an open -source format for model interoperability across frameworks. Reasoning: ONNX is designed for portability (e.g., convert PyTorch to ONNX, run in TensorFlow), unlike framework -specific options. Conclusion: D is the correct choice. ONNX (D) is “an open -source model format that enables interoperability between ML frameworks like PyTorch and TensorFlow,” per OCI documentation. PySpark (A) is a processing tool, while PyTorch (B) and TensorFlow (C) are frameworks with native formats —only ONNX ensures cross -platform compatibility. : Oracle Cloud Infrastructure Data Science Documentation, "Supported Model Formats". Where are OCI secrets stored?
What happens when a notebook session is deactivated?
C: Incorrect —Git allows simultaneous contributions; it manages, not prevents, merges. D: Incorrect —Centralized is wrong, and “copious data” is vague. Reasoning: Git’s distributed nature (each user has a full repo copy) and change -tracking are core traits. Conclusion: B is accurate. OCI documentation aligns with Git’s official definition: “Git is a distributed version control system that tracks changes to files, enabling collaboration and version history management.” A and D misclassify it as centralized, while C misrepresents merge handling —B captures Git’s essence as used in OCI Data Science. : Oracle Cloud Infrastructure Code Repository Documentation, "Git Overview". Which function's objective is to represent the difference between the predictive value and the target value?
➢ 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?
