Ray Brown Ray Brown's Profile Page

Ray Brown Ray Brown

0 Course Enrolled • 0 Course Completed

Biography

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

Every day is new beginning; we will have a good mood. Hot and outstanding IT certification will be a good beginning for your IT career road. Oracle 1z0-1110-25 current exam content will be a strong helper for you. If you want to realize your dream and get a certification, Lead2Passed provide the best valid Oracle 1z0-1110-25 Current Exam Content materials to help you pass tests. And you will have a great progress in a short time.

Oracle 1z0-1110-25 Exam Syllabus Topics:

Topic
Details

Topic 1

Apply MLOps Practices: This domain targets the skills of Cloud Data Scientists and focuses on applying MLOps within the OCI ecosystem. It covers the architecture of OCI MLOps, managing custom jobs, leveraging autoscaling for deployed models, monitoring, logging, and automating ML workflows using pipelines to ensure scalable and production-ready deployments.

Topic 2

Implement End-to-End Machine Learning Lifecycle: This section evaluates the abilities of Machine Learning Engineers and includes an end-to-end walkthrough of the ML lifecycle within OCI. It involves data acquisition from various sources, data preparation, visualization, profiling, model building with open-source libraries, Oracle AutoML, model evaluation, interpretability with global and local explanations, and deployment using the model catalog.

Topic 3

OCI Data Science - Introduction & Configuration: This section of the exam measures the skills of Machine Learning Engineers and covers foundational concepts of Oracle Cloud Infrastructure (OCI) Data Science. It includes an overview of the platform, its architecture, and the capabilities offered by the Accelerated Data Science (ADS) SDK. It also addresses the initial configuration of tenancy and workspace setup to begin data science operations in OCI.

Topic 4

Use Related OCI Services: This final section measures the competence of Machine Learning Engineers in utilizing OCI-integrated services to enhance data science capabilities. It includes creating Spark applications through OCI Data Flow, utilizing the OCI Open Data Service, and integrating other tools to optimize data handling and model execution workflows.

Topic 5

Create and Manage Projects and Notebook Sessions: This part assesses the skills of Cloud Data Scientists and focuses on setting up and managing projects and notebook sessions within OCI Data Science. It also covers managing Conda environments, integrating OCI Vault for credentials, using Git-based repositories for source code control, and organizing your development environment to support streamlined collaboration and reproducibility.

>> 1z0-1110-25 Exam Demo <<

Reliable 1z0-1110-25 Exam Questions & Free 1z0-1110-25 Updates

Do you want to double your salary in a short time? Yes, it is not a dream. Our 1z0-1110-25 latest study guide can help you. IT field is becoming competitive; a Oracle certification can help you do that. If you get a certification with our 1z0-1110-25 latest study guide, maybe your career will change. A useful certification will bring you much outstanding advantage when you apply for any jobs about Oracle company or products. Just only dozens of money on 1z0-1110-25 Latest Study Guide will assist you 100% pass exam and 24-hours worm aid service.

Oracle Cloud Infrastructure 2025 Data Science Professional Sample Questions (Q43-Q48):

NEW QUESTION # 43
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? Pick THREE.

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

Answer: A,B,E

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Prevent deployment failure due to high utilization.
* Evaluate Options:
* A: More instances-Scales capacity-correct.
* B: Delete-Stops service, not a solution.
* C: Fewer instances-Worsens utilization.
* D: Larger VM-Increases resource capacity-correct.
* E: Reduce bandwidth-Limits load-correct.
* Reasoning: A and D boost capacity, E controls demand-proactive fixes.
* Conclusion: A, D, E are correct.
OCI documentation advises: "To handle high utilization, increase instances (A), use a larger compute shape (D), or adjust load balancer bandwidth (E) to manage request volume." B stops service, C reduces capacity- only A, D, E prevent failure per OCI's scaling options.
Oracle Cloud Infrastructure Data Science Documentation, "Model Deployment Scaling".

NEW QUESTION # 44
You have configured the Management Agent on an Oracle Cloud Infrastructure (OCI) Linux instance for log ingestion purposes. Which is a required configuration for OCI Logging Analytics service to collect data from multiple logs of this instance?

A. Log - Log Group Association
B. Log Group - Source Association
C. Source - Entity Association
D. Entity - Log Association

Answer: C

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify the required configuration for OCI Logging Analytics to collect logs from an instance.
* Understand Logging Analytics: Collects and analyzes logs from OCI resources via Management Agents.
* Key Concepts:
* Entity: Represents the instance (e.g., Linux VM).
* Source: Defines log locations (e.g., file paths).
* Log Group: Organizes logs for analysis.
* Evaluate Options:
* A: Log-Log Group-Groups logs, not collection setup.
* B: Entity-Log-Links instance to logs, but not source-specific.
* C: Source-Entity-Maps log sources to the instance-correct.
* D: Log Group-Source-Post-collection organization, not ingestion.
* Reasoning: C establishes the link between the instance and its log sources-key for ingestion.
* Conclusion: C is correct.
OCI documentation states: "To collect logs using Logging Analytics, configure a Source-Entity Association (C) to link the Management Agent on the instance (entity) to specific log sources (e.g., file paths)." A and D organize logs post-collection, B is less specific-only C is required for ingestion per OCI's Logging Analytics setup.
Oracle Cloud Infrastructure Logging Analytics Documentation, "Configuring Log Collection".

NEW QUESTION # 45
Which architecture is based on the principle of "never trust, always verify"?

A. Fluid perimeter
B. Federated identity
C. Defense in depth
D. Zero trust

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify the architecture with "never trust, always verify."
* Evaluate Options:
* A: Federated identity-Shares auth, not verification-focused.
* B: Zero trust-Explicitly "never trust, always verify"-correct.
* C: Fluid perimeter-Adaptive, not the core principle.
* D: Defense in depth-Layered, not verification-centric.
* Reasoning: Zero trust matches the stated principle exactly.
* Conclusion: B is correct.
OCI documentation states: "Zero trust (B) architecture operates on 'never trust, always verify,' requiring continuous authentication and authorization." A, C, and D have different focuses-only B aligns with OCI's security philosophy.
Oracle Cloud Infrastructure Security Documentation, "Zero Trust Architecture".

NEW QUESTION # 46
Which Web Application Firewall (WAF) service component must be configured to allow, block, or log network requests when they meet specified criteria?

A. Protection rules
B. Origin
C. Bot Management
D. Web Application Firewall policy

Answer: A

Explanation:
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".

NEW QUESTION # 47
What do you use the score.py file for?

A. Execute the inference logic code
B. Configure the deployment infrastructure
C. Define the scaling strategy
D. Define the required conda environment

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Determine the purpose of score.py in OCI Data Science model deployment.
* Understand Model Deployment: When deploying a model in OCI, artifacts include score.py, runtime.
yaml, etc.
* Evaluate Options:
* A: Infrastructure configuration (e.g., compute shape) is handled by deployment settings, not score.
py.
* B: score.py contains the inference logic (e.g., load_model(), predict())-correct.
* C: Conda environment is defined in runtime.yaml or a requirements file-not score.py.
* D: Scaling (e.g., instance count) is set in deployment configuration-not score.py.
* Reasoning: score.py is the script executed by the deployment endpoint to load the model and make predictions.
* Conclusion: B is the correct purpose.
The OCI Data Science documentation states: "The score.py file is a required artifact for model deployment, containing the inference logic-functions like load_model() to load the model and predict() to generate predictions from input data." Infrastructure (A) and scaling (D) are managed via the OCI Console or SDK, while the environment (C) is specified in runtime.yaml. B is the precise role of score.py in OCI's deployment workflow.
Oracle Cloud Infrastructure Data Science Documentation, "Model Deployment - score.py".

NEW QUESTION # 48
......

Lead2Passed's braindumps provide you the gist of the entire syllabus in a specific set of questions and answers. These study questions are most likely to appear in the actual 1z0-1110-25 exam. The Certification exams are actually set randomly from the database of 1z0-1110-25. Thus most of the questions are repeated in exams and our experts after studying the previous exam have sorted out the most important questions and prepared dumps out of them. Hence 1z0-1110-25 Dumps are a special feast for all the exam takers and sure to bring them not only 1z0-1110-25 exam success but also maximum score.

Reliable 1z0-1110-25 Exam Questions: https://www.lead2passed.com/Oracle/1z0-1110-25-practice-exam-dumps.html