- 158 Actual Exam Questions
- Compatible with all Devices
- Printable Format
- No Download Limits
- 90 Days Free Updates
Get All Oracle Cloud Infrastructure 2025 Data Science Professional Exam Questions with Validated Answers
| Vendor: | Oracle |
|---|---|
| Exam Code: | 1Z0-1110-25 |
| Exam Name: | Oracle Cloud Infrastructure 2025 Data Science Professional |
| Exam Questions: | 158 |
| Last Updated: | April 11, 2026 |
| Related Certifications: | Oracle Cloud , Oracle Cloud Infrastructure |
| Exam Tags: | Associate Level Oracle Machine Learning Engineers and Data Scientists |
Looking for a hassle-free way to pass the Oracle Cloud Infrastructure 2025 Data Science Professional exam? DumpsProvider provides the most reliable Dumps Questions and Answers, designed by Oracle certified experts to help you succeed in record time. Available in both PDF and Online Practice Test formats, our study materials cover every major exam topic, making it possible for you to pass potentially within just one day!
DumpsProvider is a leading provider of high-quality exam dumps, trusted by professionals worldwide. Our Oracle 1Z0-1110-25 exam questions give you the knowledge and confidence needed to succeed on the first attempt.
Train with our Oracle 1Z0-1110-25 exam practice tests, which simulate the actual exam environment. This real-test experience helps you get familiar with the format and timing of the exam, ensuring you're 100% prepared for exam day.
Your success is our commitment! That's why DumpsProvider offers a 100% money-back guarantee. If you don’t pass the Oracle 1Z0-1110-25 exam, we’ll refund your payment within 24 hours no questions asked.
Don’t waste time with unreliable exam prep resources. Get started with DumpsProvider’s Oracle 1Z0-1110-25 exam dumps today and achieve your certification effortlessly!
What is the correct definition of Git?
Detailed Answer in Step-by-Step Solution:
Define Git: Git is a version control system---centralized vs. distributed is key.
Evaluate Options:
A: Incorrect---Git is distributed, not centralized (e.g., SVN is centralized).
B: Correct---Distributed, tracks file changes across local and remote repos.
C: Incorrect---Git allows simultaneous contributions; it manages, not prevents, merges.
D: Incorrect---Centralized is wrong, and ''copious data'' is vague.
Reasoning: Git's distributed nature (each user has a full repo copy) and change-tracking are core traits.
Conclusion: B is accurate.
OCI documentation aligns with Git's official definition: ''Git is a distributed version control system that tracks changes to files, enabling collaboration and version history management.'' A and D misclassify it as centralized, while C misrepresents merge handling---B captures Git's essence as used in OCI Data Science.
: Oracle Cloud Infrastructure Code Repository Documentation, 'Git Overview'.
When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) DataScience model catalog, you create a score.py file. What is the purpose of the score.py file?
Detailed Answer in Step-by-Step Solution:
Objective: Define the role of score.py in OCI model artifacts.
Understand Artifacts: score.py is key for deployment runtime.
Evaluate Options:
A: Infra config---Handled by OCI settings, not score.py.
B: Inference logic---Correct; runs load_model(), predict().
C: Scaling---Set in deployment, not score.py.
D: Dependencies---In runtime.yaml, not score.py.
Reasoning: B aligns with score.py's execution role.
Conclusion: B is correct.
OCI documentation states: ''score.py (B) contains the inference logic, including functions to load the model and predict outputs, executed by the deployment endpoint.'' A, C, and D are managed elsewhere---only B matches OCI's design.
: Oracle Cloud Infrastructure Data Science Documentation, 'Model Artifact - score.py'.
Which OCI Data Science interaction method can function without the need of scripting?
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.
You have received machine learning model training code, without clear information about the optimal shape to run the training. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?
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'.
Which type of file system does File Storage use?
Detailed Answer in Step-by-Step Solution:
Objective: Identify the file system type for OCI File Storage.
Understand File Storage: Network-attached storage in OCI.
Evaluate Options:
A: NFSv3---Network File System, used by File Storage---correct.
B: iSCSI---Block storage protocol, not File Storage.
C: Paravirtualized---Virtualization mode, not file system.
D: NVMe SSD---Hardware, not file system.
Reasoning: NFSv3 is OCI File Storage's protocol.
Conclusion: A is correct.
OCI documentation states: ''File Storage uses NFSv3 (A) as its file system protocol, providing shared storage across instances.'' B, C, and D are unrelated---only A aligns with OCI's File Storage design.
: Oracle Cloud Infrastructure File Storage Documentation, 'File System Protocol'.
Security & Privacy
Satisfied Customers
Committed Service
Money Back Guranteed