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[General] 1z0-1110-25ԇY}1z0-1110-25oϥץ

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General 1z0-1110-25ԇY}1z0-1110-25oϥץ

Posted at 1/12/2026 06:44:58      View192 | Replies2        Print      Only Author   [Copy Link] 1#
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Oracle Cloud Infrastructure 2025 Data Science Professional J 1z0-1110-25 ԇY} (Q140-Q145):| # 140
Which Web Application Firewall (WAF) service component must be configured to allow, block, or log network requests when they meet specified criteria?
  • A. Bot Management
  • B. Protection rules
  • C. Origin
  • D. Web Application Firewall policy
⣺B
h
Detailed Answer in Step-by-Step Solution:
* Objective: Identify the WAF component that controls request actions based on criteria.
* Understand WAF Components:
* Protection Rules: Define conditions and actions (e.g., allow, block, log).
* Bot Management: Handles bot traffic, not general request rules.
* Origin: Backend server endpoint, not rule-based.
* WAF Policy: Umbrella config, but rules specify actions.
* Evaluate Options:
* A: Protection rules-Set specific criteria and actions-correct.
* B: Bot Management-Bot-specific, not general requests.
* C: Origin-Defines source, not actions.
* D: WAF policy-Broad config, not the granular rules.
* Reasoning: Protection rules directly manage request behavior-fit the requirement.
* Conclusion: A is correct.
OCI documentation states: "Protection rules (A) in WAF define conditions (e.g., IP, URL) and actions (allow, block, log) for incoming requests." Bot Management (B) targets bots, Origin (C) is a target server, and WAF Policy (D) encompasses rules but isn't the action specifier-only A aligns with OCI's WAF configuration.
Oracle Cloud Infrastructure WAF Documentation, "Protection Rules".

| # 141
Which is NOT a valid OCI Data Science notebook session approach?
  • A. Avoid having multiple users in the same notebook session due to the possibility of resource contention and write conflicts
  • B. Authenticate using your notebook session's resource principal to access other OCI resources. Resource principals provide a more secure way to authenticate to resources compared to the OCI configuration and API approach
  • C. Ensure you don't execute long-running Python processes in a notebook cell
  • D. Run the process directly in the terminal and use Python logging to get updates on the progress of your job
  • E. While connecting to data in OCI Object Storage from your notebook session, the best practice is to make a local copy on the device and then upload it to your notebook session block volume
⣺E
h
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".

| # 142
Which of these is a unique feature of the published conda environment?
  • A. Allows you to save the conda environment to an Object Storage Bucket
  • B. Provides availability on network session reactivation
  • C. Provides a comprehensive environment to solve business use cases
  • D. Allows you to save the conda environment in a block volume
⣺A
h
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.

| # 143
Which statement is true about standards?
  • A. They are the result of a regulation or contractual requirement or an industry requirement
  • B. They may be audited
  • C. They are methods and instructions on how to maintain or accomplish the directives of the policy
  • D. They are the foundation of corporate governance
⣺B
h
Detailed Answer in Step-by-Step Solution:
* Objective: Identify a true statement about standards in an OCI context (likely governance/security).
* Understand Standards: Rules or benchmarks, often compliance-related.
* Evaluate Options:
* A: Auditable-True; standards are checked for adherence.
* B: Result of requirements-Partially true, but not always.
* C: Methods/instructions-More procedural, not defining standards.
* D: Foundation of governance-Broad, not specific to standards.
* Reasoning: A is universally true-standards face audits (e.g., SOC, ISO).
* Conclusion: A is correct.
OCI documentation notes: "Standards (e.g., security standards) may be audited (A) to ensure compliance with OCI policies or external regulations." B is a source, C describes procedures, D is too vague-only A is consistently true per OCI's compliance framework.
Oracle Cloud Infrastructure Security Documentation, "Compliance and Standards".

| # 144
As a data scientist for a hardware company, you have been asked to predict the revenue demand for the upcoming quarter. You develop a time series forecasting model to analyze the data. Select the correct sequence of steps to predict the revenue demand values for the upcoming quarter.
  • A. Verify, prepare model, deploy, save, predict
  • B. Prepare model, verify, save, deploy, predict
  • C. Prepare model, deploy, verify, save, predict
  • D. Predict, deploy, save, verify, prepare model
⣺B
h
Detailed Answer in Step-by-Step Solution:
* Prepare Model: Build and train the time series model using historical data.
* Verify: Validate the model's accuracy (e.g., using metrics like MAE or RMSE).
* Save: Store the trained model (e.g., in the OCI Model Catalog).
* Deploy: Make the model available for predictions (e.g., via OCI Model Deployment).
* Predict: Generate revenue forecasts for the upcoming quarter.
* Evaluate Options: D follows this logical flow; others (e.g., A starts with "verify" before preparation) don't.
In OCI Data Science, the workflow for time series forecasting involves preparing the model (training), verifying its performance, saving it to the catalog, deploying it, and then predicting. This sequence is standard for ML deployment in OCI, as per the documentation. (Reference: Oracle Cloud Infrastructure Data Science Documentation, "Time Series Forecasting Workflow").

| # 145
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