Oracle 1z0-1110-25 Online Access

Detailed Answer in Step-by-Step Solution:

Objective: Identify three required params for an OCI Data Flow app config.

Understand Data Flow: Runs Spark apps; needs compartment, storage, and identity.

Evaluate Options:

A: Archive path—Optional if script is in Object Storage—incorrect.

B: Local script path—Not needed; script is uploaded—incorrect.

C: Compartment—Required for resource scope—correct.

D: Bucket—Required for script storage/access—correct.

E: Display name—Required for app identification—correct.

Reasoning: C, D, E are mandatory metadata for Data Flow creation—script location is specified via bucket.

Conclusion: C, D, E are correct.

OCI documentation states: “To create a Data Flow application, configure the compartment OCID (C), Object Storage bucket for the PySpark script (D), and a display name (E) in the application object.” Local paths (B) or archives (A) are optional or handled separately—only C, D, E are required per OCI’s Data Flow API spec.

Oracle Cloud Infrastructure Data Flow Documentation, "Creating Applications".

Detailed Answer in Step-by-Step Solution:

Objective: Find the OCI service for accessing large public datasets.

Evaluate Options:

A: Oracle Databases—General-purpose, not dataset-focused.

B: ADW—Analytics warehouse, not a dataset repository.

C: OCI Data Science—ML platform, not a dataset provider.

D: Oracle Open Data—Free, public datasets (e.g., geospatial).

Reasoning: Open Data provides pre-existing large datasets for research.

Conclusion: D is correct.

OCI documentation states: “Oracle Open Data provides free access to large, curated datasets, such as geospatial data, ideal for researchers.” Databases (A) and ADW (B) are for storage/analytics, Data Science (C) is for ML—not datasets—only Open Data (D) fits.

Oracle Cloud Infrastructure Open Data Documentation, "Overview".

Detailed Answer in Step-by-Step Solution:

Objective: Differentiate data scientist vs. data engineer roles.

Define Roles:

Data Engineer: Builds pipelines, prepares data.

Data Scientist: Analyzes data, builds models.

Evaluate Options:

A: Engineer preps, scientist analyzes—Correct division.

B: Reverses roles—Incorrect.

C: Overlaps roles—Scientist doesn’t typically build pipelines.

D: Misaligns—Analyst isn’t the focus.

Reasoning: A reflects standard role separation.

Conclusion: A is correct.

OCI documentation notes: “Data engineers focus on collecting and preparing data through pipelines, while data scientists analyze it to derive insights and build models.” A aligns, B inverts, C overcomplicates, and D shifts focus—only A is accurate.

Oracle Cloud Infrastructure Data Science Documentation, "Roles in Data Science".

Detailed Answer in Step-by-Step Solution:

Objective: Identify the invalid MFA statement.

Evaluate Options:

A: True—Users can’t disable MFA; admin-controlled.

B: False—Multiple devices can be registered—invalid.

C: True—Authenticator app is required.

D: True—Admins can disable MFA.

Reasoning: B contradicts OCI’s multi-device support.

Conclusion: B is incorrect.

OCI documentation states: “Users can register multiple devices for MFA (B is false), must use an authenticator app (C), and cannot disable MFA themselves (A)—admins can (D).” Only B is not valid per OCI’s IAM MFA policy.

Oracle Cloud Infrastructure IAM Documentation, "Multi-Factor Authentication".