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?
Correct Answer: A,C
Detailed Answer in Step-by-Step Solution: * Objective: Publish a conda env to Object Storage. * Process: Initialize bucket config, then publish env. * Evaluate Options: * A: Publishes env with slug-correct final step. * B: Lists envs-unrelated to publishing. * C: Sets bucket details-required setup-correct. * D: Creates env-not publishing. * E: Activates env-not for sharing. * Reasoning: C sets up, A executes-standard workflow. * Conclusion: A and C are correct. 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".
Question 52
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 sub-folders and classes. What is the best way to run this project as a Job?
Correct Answer: D
Detailed Answer in Step-by-Step Solution: * Objective: Run a complex Python project as an OCI Job. * Evaluate Options: * A: Auto-identification-False; entrypoint must be set. * B: Rewrite-Unnecessary, inefficient. * C: Auto-executable-False; needs explicit entrypoint. * D: ZIP with entrypoint-Correct, flexible approach. * Reasoning: D preserves structure, specifies execution. * Conclusion: D is correct. OCI documentation states: "For complex projects, ZIP the folder and upload as a Job artifact, then set JOB_RUN_ENTRYPOINT (D) to the main executable (e.g., main.py)." Auto-detection (A, C) isn't supported, and B discards structure-D is best. Oracle Cloud Infrastructure Data Science Documentation, "Job Artifacts".
Question 53
Which function's objective is to represent the difference between the predictive value and the target value?
Correct Answer: D
Detailed Answer in Step-by-Step Solution: * Objective: Identify the function that measures the difference between predicted and actual values in machine learning. * Understand ML Functions: * Optimizer function: Adjusts model parameters to minimize error (e.g., gradient descent)-it uses the cost, not defines it. * Fit function: Trains the model by fitting it to data-process-oriented, not a measure. * Update function: Typically updates weights during training-not a standard term for error measurement. * Cost function: Quantifies prediction error (e.g., MSE, cross-entropy)-directly represents the difference. * Evaluate Options: * A: Optimizer minimizes the cost, not the cost itself-incorrect. * B: Fit executes training, not error definition-incorrect. * C: Update is vague and not a standard ML term for this-incorrect. * D: Cost function (e.g., loss) measures prediction vs. target-correct. * Reasoning: The cost function (or loss function) is the mathematical representation of error, guiding optimization. * Conclusion: D is the correct answer. In OCI Data Science, the documentation explains: "The cost function (or loss function) measures the difference between the model's predicted values and the actual target values, such as mean squared error for regression or cross-entropy for classification." Optimizers (A) use this to adjust weights, fit (B) is a training step, and update (C) isn't a defined function here-only the cost function (D) fits the description. This aligns with standard ML terminology and OCI's AutoML processes. Oracle Cloud Infrastructure Data Science Documentation, "Machine Learning Concepts - Cost Functions".
Question 54
Which feature of Oracle Cloud Infrastructure Data Science provides an interactive coding environment for building and training machine learning models?
Correct Answer: C
Detailed Answer in Step-by-Step Solution: * Objective: Identify the interactive coding environment in OCI Data Science. * Evaluate Options: * A: Model Catalog stores models-not for coding. * B: Jobs run predefined tasks-not interactive. * C: Notebook Sessions provide JupyterLab for coding and training-interactive. * D: Projects organize work-not a coding environment. * Reasoning: Notebook Sessions are OCI's Jupyter-based tool for interactive ML development. * Conclusion: C is correct. OCI Data Science Notebook Sessions "provide an interactive JupyterLab environment where data scientists can write code, explore data, and train machine learning models." Model Catalog (A) is for storage, Jobs (B) for automation, and Projects (D) for organization-only C offers interactivity. Oracle Cloud Infrastructure Data Science Documentation, "Notebook Sessions Overview".
Question 55
After you have created and opened a notebook session, you want to use the Accelerated Data Science (ADS) SDK to access your data and get started with exploratory data analysis. From which TWO places can you access the ADS SDK?
Correct Answer: C,D
Detailed Answer in Step-by-Step Solution: * Objective: Locate sources for ADS SDK in OCI. * Understand ADS SDK: A Python library for Data Science tasks (e.g., EDA). * Evaluate Options: * A: Big Data Service-Spark-focused, not ADS source. * B: Machine Learning-Separate service, not ADS-related. * C: Conda in OCI Data Science-Preinstalled ADS in notebook sessions. * D: PyPI-Public source to install ADS (pip install oracle-ads). * E: ADW-Database, not an SDK source. * Reasoning: C (preinstalled) and D (installable) are practical access points. * Conclusion: C and D are correct. OCI documentation states: "The ADS SDK is available in OCI Data Science notebook sessions via preinstalled conda environments (C) and can be installed from PyPI (D) using pip install oracle-ads." Big Data (A), Machine Learning (B), and ADW (E) don't host ADS-only C and D apply. Oracle Cloud Infrastructure Data Science Documentation, "ADS SDK Installation".
