1z0-1110-25 Exam Dumps : Oracle Cloud Infrastructure 2025 Data Science Professional

Detailed Answer in Step-by-Step Solution:

Objective: Identify an invalid notebook session practice.

Evaluate Options:

A: Valid—Long runs should use Jobs, not notebooks.

B: Valid—Terminal runs with logging are supported.

C: Valid—Multi-user conflicts are a concern.

D: Invalid—Copying from Object Storage to block volume is unnecessary; direct access is best.

E: Valid—Resource principals are secure and recommended.

Reasoning: D contradicts OCI’s direct-access efficiency.

Conclusion: D is incorrect.

OCI documentation advises: “Access data in Object Storage directly from notebook sessions using SDKs or resource principals—avoid local copies (D) unless necessary.” A, B, C, and E are best practices—D is inefficient and not standard.

Oracle Cloud Infrastructure Data Science Documentation, "Notebook Session Best Practices".

Detailed Answer in Step-by-Step Solution:

Objective: Get all AutoML trial results.

Understand AutoML: Trials include hyperparameter tuning outcomes.

Evaluate Options:

A: print_trials()—Displays all trial results—correct.

B: visualize_tuning_trials()—Visualizes tuning, not full list.

C: visualize_adaptive_sampling_trials()—Specific to sampling, not all trials.

D: visualize_algorithm_selection_trials()—Specific to algorithms, not all.

Reasoning: A provides comprehensive trial output.

Conclusion: A is correct.

OCI AutoML documentation states: “print_trials() outputs a table of all trials performed, including hyperparameters and scores.” Visualization methods (B, C, D) focus on specific aspects—only A gives the full list.

Oracle Cloud Infrastructure AutoML Documentation, "Trial Output Methods".

Detailed Answer in Step-by-Step Solution:

Objective: Efficiently manage varying hyperparameters in OCI Data Science Jobs.

Understand OCI Jobs: Jobs execute predefined tasks with configurable inputs (e.g., env vars, args).

Evaluate Options:

A: New job per run with env vars—Redundant job creation, inefficient.

B: New job per run with args—Similarly inefficient due to repeated setup.

C: Hardcode params, new job per change—Highly inefficient, requires code edits.

D: Single job, flexible params via env vars or args—Efficient, reusable—correct.

Reasoning: D minimizes job creation, allows runtime flexibility via configuration—best practice.

Conclusion: D is correct.

OCI documentation states: “For Jobs with varying hyperparameters, write code to accept environment variables or command-line arguments (D), then configure these per Job Run using the OCI Console or SDK—most efficient approach.” Options A, B, and C involve unnecessary job proliferation or code changes—only D aligns with OCI’s design for parameterized runs.

Oracle Cloud Infrastructure Data Science Documentation, "Configuring Job Runs with Parameters".