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Oracle Cloud Infrastructure 2025 Data Science Professional Sample Questions (Q63-Q68):

NEW QUESTION # 63
Which OCI Data Science interaction method can function without the need of scripting?

A. REST APIs
B. OCI Console
C. Language SDKs
D. CLI

Answer: B

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify the OCI Data Science interaction method that doesn't require scripting.
* Understand Interaction Methods: OCI provides multiple ways to interact with Data Science services- some are GUI-based, others script-based.
* Evaluate Options:
* A. OCI Console: A web-based graphical interface allowing users to manage resources (e.g., create notebook sessions, deploy models) via point-and-click-no scripting needed.
* B. CLI: Command Line Interface requires writing commands (scripts) to execute tasks (e.g., oci data-science notebook-session create).
* C. Language SDKs: Software Development Kits (e.g., Python SDK) require coding to interact programmatically (e.g., oci.data_science.DataScienceClient).
* D. REST APIs: Application Programming Interfaces require scripted HTTP requests (e.g., using curl or a programming language).
* Reasoning: Only the OCI Console (A) offers a no-code, user-friendly interface, while B, C, and D rely on scripting or programming.
* Conclusion: A is the correct answer as it eliminates the need for scripting.
The OCI Console is described in the documentation as "a browser-based interface that allows users to manage OCI Data Science resources, such as creating notebook sessions or jobs, without writing code or scripts." In contrast, the CLI (B) requires command-line scripts, SDKs (C) need programming (e.g., Python), and REST APIs (D) involve scripted API calls. The Console's GUI distinguishes it as the only option functioning without scripting, aligning with Oracle's design for accessibility to non-programmers.
Oracle Cloud Infrastructure Data Science Documentation, "Getting Started with OCI Console" section.

NEW QUESTION # 64
Which OCI service provides a scalable environment for developers and data scientists to run Apache Spark applications at scale?

A. Anomaly Detection
B. Data Flow
C. Data Labeling
D. Data Science

Answer: B

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify the OCI service for scalable Spark applications.
* Evaluate Options:
* A: Data Science-ML platform, not Spark-focused.
* B: Anomaly Detection-Specific ML service, not general Spark.
* C: Data Labeling-Annotation tool, not Spark-related.
* D: Data Flow-Managed Spark service for big data.
* Reasoning: Data Flow is OCI's Spark execution engine.
* Conclusion: D is correct.
OCI Data Flow "provides a fully managed environment to run Apache Spark applications at scale, ideal for data processing and ML tasks." Data Science (A) supports Spark in notebooks, but Data Flow (D) is the dedicated, scalable solution-B and C are unrelated.
Oracle Cloud Infrastructure Data Flow Documentation, "Overview".

NEW QUESTION # 65
Which OCI service provides a managed Kubernetes service for deploying, scaling, and managing containerized applications?

A. Oracle Cloud Infrastructure Container Registry
B. Oracle Cloud Infrastructure Load Balancing
C. Oracle Cloud Infrastructure Streaming
D. Oracle Cloud Infrastructure Container Engine for Kubernetes

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify OCI's managed Kubernetes service.
* Evaluate Options:
* A: Container Registry-Stores images, not Kubernetes.
* B: Load Balancing-Network service, not Kubernetes.
* C: Container Engine (OKE)-Managed Kubernetes-correct.
* D: Streaming-Data streaming, not containers.
* Reasoning: C is OCI's Kubernetes offering-OKE.
* Conclusion: C is correct.
OCI documentation states: "OCI Container Engine for Kubernetes (OKE) (C) provides a managed service to deploy, scale, and manage containerized applications using Kubernetes." A, B, and D serve other purposes- only C matches per OCI's container services.
Oracle Cloud Infrastructure OKE Documentation, "Overview".

NEW QUESTION # 66
You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail? Which THREE steps would you perform?

A. Reduce the load balancer bandwidth limit so that fewer requests come in
B. Update the deployment to use a larger virtual machine (more CPUs/memory)
C. Delete the deployment
D. Update the deployment to use fewer instances
E. Update the deployment to add more instances

Answer: A,B,E

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Prevent deployment failure due to utilization limits.
* Understand Utilization: High load requires capacity or throttling.
* Evaluate Options:
* A: More instances-Scales horizontally-correct.
* B: Delete-Stops service, not a fix-incorrect.
* C: Fewer instances-Worsens issue-incorrect.
* D: Larger VM-Scales vertically-correct.
* E: Reduce bandwidth-Controls load-correct.
* Reasoning: A and D increase capacity, E manages demand-effective trio.
* Conclusion: A, D, E are correct.
OCI documentation states: "To avoid utilization limits, increase instances (A), use a larger compute shape (D), or reduce load balancer bandwidth (E) to manage request rates." B stops service, C reduces capacity- only A, D, E align with OCI's deployment scaling options.
Oracle Cloud Infrastructure Data Science Documentation, "Model Deployment Scaling".

NEW QUESTION # 67
Which TWO statements about Oracle Cloud Infrastructure (OCI) Open Data service are true?

A. Open Data includes text and image data repositories for AI and ML.
B. Audio and video formats are not available.
C. Subscribers can pay and log into Open Data to view curated datasets that are otherwise not available to the public.
D. Each dataset in Open Data consists of code and tooling usage examples for consumption and reproducibility.
E. A primary goal of Open Data is for users to contribute to the data repositories to expand the content offered.
F. Open Data is a dataset repository made for the people that create, use, and manipulate datasets.

Answer: A,F

Explanation:
Detailed Answer in Step-by-Step Solution:
* Analyze OCI Open Data: OCI Open Data is a free service providing access to public datasets for AI
/ML use cases.
* Evaluate Statements:
* A: True-Open Data includes text and image datasets (e.g., geospatial images).
* B: False-Video and other formats may be available depending on the dataset; no strict exclusion exists.
* C: False-Datasets may include metadata, but code/tooling examples aren't guaranteed.
* D: True-It's designed for data scientists and analysts who work with datasets.
* E: False-It's not a user-contributed repository; it's curated by Oracle.
* F: False-Open Data is free and public, not subscription-based.
* Select Two: A and D align with the service's purpose and offerings.
OCI Open Data provides access to datasets like text and images (A) for AI/ML, aimed at data professionals (D). It's a free, curated service, not user-contributed (E) or paid (F), and while it focuses on certain formats, it doesn't explicitly exclude audio/video (B). (Reference: Oracle Cloud Infrastructure Open Data Documentation, "Overview of Open Data").

NEW QUESTION # 68
......

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1z0-1110-25 Study Guide: Oracle Cloud Infrastructure 2025 Data Science Professional & 1z0-1110-25 Practice Test & Oracle Cloud Infrastructure 2025 Data Science Professional Learning Materials

1z0-1110-25 exams questions and answers & dumps PDF for Oracle Cloud Infrastructure 2025 Data Science Professional

Oracle Cloud Infrastructure 2025 Data Science Professional Sample Questions (Q63-Q68):

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