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Posted on: 04/26/25

The Oracle sector is an ever-evolving and rapidly growing industry that is crucial in shaping our lives today. With the growing demand for skilled Oracle professionals, obtaining Oracle Cloud Infrastructure 2025 Data Science Professional (1z0-1110-25) certification exam has become increasingly important for those who are looking to advance their careers and stay competitive in the job market.

Oracle 1z0-1110-25 Exam Syllabus Topics:

TopicDetails
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
  • 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 3
  • 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 4
  • 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 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.

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We present our Oracle 1z0-1110-25 real questions in PDF format. It is beneficial for those applicants who are busy in daily routines. The 1z0-1110-25 PDF QUESTIONS contains all the exam questions which will appear in the real test. You can easily get ready for the examination in a short time by just memorizing 1z0-1110-25 Actual Questions.

Oracle Cloud Infrastructure 2025 Data Science Professional Sample Questions (Q141-Q146):

NEW QUESTION # 141
You want to make API calls against other OCI services from your instance without configuring user credentials. How would you achieve this?

  • A. Create a group and add a policy
  • B. Create a dynamic group and add your instance
  • C. No configuration is required for making API calls
  • D. Create a dynamic group and add a policy

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Enable credential-less API calls from an instance.
* Understand Resource Principal: Allows instances to authenticate via IAM without user creds.
* Evaluate Options:
* A: Dynamic group + policy-Correct; groups instance, grants access.
* B: Dynamic group only-Incomplete; needs policy.
* C: User group-Irrelevant for instances.
* D: No config-False; setup required.
* Reasoning: A sets up resource principal fully-group and perms.
* Conclusion: A is correct.
OCI documentation states: "To make API calls without credentials, create a dynamic group including the instance and add a policy (A) granting access to OCI services-enables resource principal." B lacks policy, C is user-based, D is false-only A completes the process per OCI's IAM setup.
Oracle Cloud Infrastructure IAM Documentation, "Resource Principal Configuration".


NEW QUESTION # 142
Which type of file system does File Storage use?

  • A. iSCSI
  • B. Paravirtualized
  • C. NFSv3
  • D. NVMe SSD

Answer: C

Explanation:
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".


NEW QUESTION # 143
Which statement about Oracle Cloud Infrastructure Anomaly Detection is true?

  • A. It is trained on a combination of customer and general industry datasets
  • B. Data used for analysis can be text or numerical in nature
  • C. Accepted file types are SQL and Python
  • D. It is an important tool for detecting fraud, network intrusions, and discrepancies in sensor time series analysis

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Find a true statement about OCI Anomaly Detection.
* Understand Service: Detects anomalies in multivariate data (e.g., time series).
* Evaluate Options:
* A: False-Accepted types are CSV/JSON, not SQL/Python.
* B: Partially true-Focuses on numerical data (e.g., sensors), not text broadly.
* C: True-Used for fraud, intrusions, and sensor anomalies (key use cases).
* D: False-Trained on customer data only, not general datasets.
* Reasoning: C aligns with documented applications; others misalign.
* Conclusion: C is correct.
OCI Anomaly Detection documentation states: "The service is designed to detect anomalies in time series data, making it valuable for fraud detection, network intrusion analysis, and sensor discrepancies." A is incorrect (file formats), B overgeneralizes (numerical focus), and D misstates training data-only C matches the service's purpose.
Oracle Cloud Infrastructure Anomaly Detection Documentation, "Use Cases".


NEW QUESTION # 144
You are a data scientist; you use the Oracle Cloud Infrastructure (OCI) Language service to train custom models. Which types of custom models can be trained?

  • A. Image classification, Named Entity Recognition (NER)
  • B. Object detection, Text classification
  • C. Sentiment Analysis, Named Entity Recognition (NER)
  • D. Text classification, Named Entity Recognition (NER)

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify custom model types for OCI Language.
* Understand OCI Language: Focuses on text analysis.
* Evaluate Options:
* A: Image classification-Not text-based, incorrect.
* B: Text classification, NER-Both text tasks-correct.
* C: Sentiment, NER-Sentiment is pretrained, not custom.
* D: Object detection-Image-based, incorrect.
* Reasoning: B aligns with OCI Language's text custom models.
* Conclusion: B is correct.
OCI Language documentation states: "Custom models can be trained for text classification and Named Entity Recognition (NER) using your data." Image tasks (A, D) are for Vision, and sentiment (C) is pretrained- only B fits OCI Language's scope.
Oracle Cloud Infrastructure Language Documentation, "Custom Model Training".


NEW QUESTION # 145
You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your conda environment. After running this command, you get a network timeout error. What might be missing from your networking configuration?

  • A. NAT Gateway with public internet access
  • B. Primary Virtual Network Interface Card (VNIC)
  • C. FastConnect to an on-premises network
  • D. Service Gateway with private subnet access

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Fix network timeout for pip install in a notebook.
* Evaluate Options:
* A: FastConnect-On-premises link, not public internet.
* B: VNIC-Default, not the issue.
* C: NAT Gateway-Grants internet access-correct.
* D: Service Gateway-OCI services, not PyPI.
* Reasoning: C enables outbound traffic to public repos.
* Conclusion: C is correct.
OCI documentation states: "A NAT Gateway (C) is required for notebook sessions in private subnets to access public internet repositories like PyPI." A, B, and D don't provide this-only C resolves the timeout.
Oracle Cloud Infrastructure Data Science Documentation, "Notebook Networking".


NEW QUESTION # 146
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