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

Detailed Answer in Step-by-Step Solution:

Objective: Identify protection for data at rest/transit with customer control.

Evaluate Options:

A: Controls—Broad, not specific to encryption.

B: Isolation—Separates tenants, not crypto-focused.

C: Encryption—Secures data, allows key management—correct.

D: Federation—Auth sharing, not data protection.

Reasoning: C provides crypto control (e.g., Vault keys).

Conclusion: C is correct.

OCI documentation states: “Data encryption (C) protects data at rest and in transit, with customer-managed keys in OCI Vault meeting compliance needs.” A and B are broader, D is unrelated—only C fits per OCI’s security model.

Oracle Cloud Infrastructure Security Documentation, "Data Encryption".

Detailed Answer in Step-by-Step Solution:

Objective: Apply all recommended transformations from get_recommendations() in ADS.

Understand ADS Tools: get_recommendations() suggests fixes (e.g., missing values).

Evaluate Options:

A: Returns transformed data—Not for applying—incorrect.

B: Sklearn-style, not ADS-specific—incorrect.

C: auto_transform()—Applies all recommendations—correct.

D: Visualizes, doesn’t apply—incorrect.

Reasoning: auto_transform() executes the fixes suggested by get_recommendations().

Conclusion: C is correct.

OCI documentation states: “After get_recommendations() identifies issues, use auto_transform() (C) on the ADSDataset to apply all recommended transformations at once.” A retrieves, B is external, D visualizes—only C aligns with OCI’s ADS transformation workflow.

Oracle Cloud Infrastructure ADS SDK Documentation, "Data Transformation Methods".

Detailed Answer in Step-by-Step Solution:

Objective: Transcribe Spanish video audio and identify profanity.

Evaluate Options:

A: Anomaly Detection—Not for transcription or text analysis.

B: Speech—Converts audio to text (e.g., Spanish), base for further analysis—correct.

C: Translation—Translates text, not transcription.

D: Language—Analyzes text (e.g., profanity), but needs transcribed input.

Reasoning: Speech (B) transcribes video audio; Language could follow for profanity.

Conclusion: B is correct for transcription.

OCI Speech “transcribes audio from video or audio files into text, supporting languages like Spanish.” Post-transcription, OCI Language could detect profanity, but B is the starting point—Anomaly (A) and Translation (C) don’t fit.

Oracle Cloud Infrastructure Speech Documentation, "Transcription Features".

Detailed Answer in Step-by-Step Solution:

Objective: Enable credential-less API calls from an instance.

Understand Resource Principal: Allows instances to authenticate via IAM without user creds.

Evaluate Options:

A: Dynamic group + policy—Correct; groups instance, grants access.

B: Dynamic group only—Incomplete; needs policy.

C: User group—Irrelevant for instances.

D: No config—False; setup required.

Reasoning: A sets up resource principal fully—group and perms.

Conclusion: A is correct.

OCI documentation states: “To make API calls without credentials, create a dynamic group including the instance and add a policy (A) granting access to OCI services—enables resource principal.” B lacks policy, C is user-based, D is false—only A completes the process per OCI’s IAM setup.

Oracle Cloud Infrastructure IAM Documentation, "Resource Principal Configuration".

Detailed Answer in Step-by-Step Solution:

Objective: Optimize compute shape for cost and time.

Evaluate Options:

A: Tuning params—Focuses on model, not shape.

B: Strongest shape—Costly, unbalanced.

C: Scale up when utilized—Balances cost/time—correct.

D: Random start—Unsystematic.

Reasoning: C iteratively optimizes based on utilization.

Conclusion: C is correct.

OCI documentation advises: “Start with a small shape, monitor utilization and time (C); scale up if fully utilized until performance stabilizes—optimizes cost and speed.” A misfocuses, B overspends, D lacks method—only C aligns.

Oracle Cloud Infrastructure Data Science Documentation, "Compute Shape Optimization".

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".

Detailed Answer in Step-by-Step Solution:

Objective: Identify interfaces to save a 2 GB model to the Model Catalog.

Evaluate Options:

A: OCI CLI—Supports Data Science tasks—possible but not primary.

B: ADS SDK—Designed for model catalog ops—correct.

C: ODSC CLI—Not standard; likely typo for OCI CLI.

D: Console—GUI for catalog uploads—correct.

E: OCI Python SDK—Programmatic catalog access—correct.

F: Git CLI—Version control, not catalog-related.

Reasoning: B, D, E are OCI’s primary interfaces; A is valid but less emphasized.

Conclusion: B, D, E are correct (A plausible but not top-tier).

OCI documentation lists “ADS SDK (B), OCI Console (D), and OCI Python SDK (E) as primary methods to save models to the Model Catalog.” OCI CLI (A) works but isn’t highlighted, C isn’t real, and F is unrelated—B, D, E are the standard trio.

Oracle Cloud Infrastructure Data Science Documentation, "Model Catalog Interfaces".

Detailed Answer in Step-by-Step Solution:

Objective: Identify the OCI service for ML model lifecycle.

Evaluate Options:

A: Data Catalog—Metadata management, not ML.

B: Data Integration—ETL, not ML.

C: Data Science—Full ML lifecycle—correct.

D: Data Flow—Spark processing, not full ML.

Reasoning: C supports building, training, deploying models.

Conclusion: C is correct.

OCI documentation states: “OCI Data Science (C) provides tools to build, train, and deploy machine learning models in the cloud, including notebooks and model catalog.” A, B, and D serve other purposes—only C fits the ML lifecycle per OCI’s offerings.

Oracle Cloud Infrastructure Data Science Documentation, "Service Overview".