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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

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 4

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.

Topic 5

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.

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Oracle Cloud Infrastructure 2025 Data Science Professional Sample Questions (Q147-Q152):

NEW QUESTION # 147
Which OCI service enables you to build, train, and deploy machine learning models in the cloud?

A. Oracle Cloud Infrastructure Data Flow
B. Oracle Cloud Infrastructure Data Integration
C. Oracle Cloud Infrastructure Data Catalog
D. Oracle Cloud Infrastructure Data Science

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify the OCI service for ML model lifecycle.
* Evaluate Options:
* A: Data Catalog-Metadata management, not ML.
* B: Data Integration-ETL, not ML.
* C: Data Science-Full ML lifecycle-correct.
* D: Data Flow-Spark processing, not full ML.
* Reasoning: C supports building, training, deploying models.
* Conclusion: C is correct.
OCI documentation states: "OCI Data Science (C) provides tools to build, train, and deploy machine learning models in the cloud, including notebooks and model catalog." A, B, and D serve other purposes-only C fits the ML lifecycle per OCI's offerings.
Oracle Cloud Infrastructure Data Science Documentation, "Service Overview".

NEW QUESTION # 148
Which cache rules criterion matches if the concatenation of the requested URL path and query are identical to the contents of the value field?

A. URL_IS
B. URL_STARTS_WITH
C. URL_PART_CONTAINS
D. URL_PART_ENDS_WITH

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Match a cache rule criterion for exact URL path and query.
* Understand Cache Rules: Used in OCI (e.g., WAF, CDN) to cache content.
* Evaluate Options:
* A: Contains-Partial match, not exact.
* B: Is-Exact match of full URL (path + query)-correct.
* C: Ends with-Matches end, not full URL.
* D: Starts with-Matches start, not full URL.
* Reasoning: "URL_IS" checks exact equality-fits requirement.
* Conclusion: B is correct.
OCI documentation states: "The URL_IS (B) criterion in cache rules matches when the full URL (path and query) exactly equals the specified value." A, C, and D are partial matches-only B ensures identical concatenation per OCI's caching config.
Oracle Cloud Infrastructure WAF Documentation, "Cache Rules Criteria".

NEW QUESTION # 149
What is the first step in the data science process?

A. Defining an analytical hypothesis that could provide business value
B. Working with data owners
C. Collecting data and preparing it for analysis
D. Experimenting with and tuning different analytical models

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify the initial data science step.
* Define Process: Starts with problem definition, then data and modeling.
* Evaluate Options:
* A: Data collection-Second step after problem definition.
* B: Modeling-Later stage.
* C: Hypothesis-Sets the goal, first step-correct.
* D: Data owners-Collaboration, not the start.
* Reasoning: Hypothesis drives the process (e.g., "Can we predict churn?").
* Conclusion: C is correct.
OCI documentation states: "The data science process begins with defining an analytical hypothesis to address a business problem, followed by data collection and analysis." C precedes A, B, and D-aligning with OCI's structured approach.
Oracle Cloud Infrastructure Data Science Documentation, "Data Science Process".

NEW QUESTION # 150
You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) to create a model and need some additional Python libraries for processing genome sequencing data. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?

A. OCI Data Science allows root privileges in notebook sessions
B. You can install private or custom libraries from your own internal repositories
C. You can install any open-source package available in a publicly accessible Python Package Index (PyPI) repository
D. You can only install libraries using yum and pip as a normal user
E. You cannot install a library that's not preinstalled in the provided image

Answer: B,C,E

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify correct statements about installing Python libraries in OCI Data Science.
* Understand Notebook Sessions: Run in a managed environment with specific permissions.
* Evaluate Options:
* A: False-No root privileges; users operate as datascience with limited sudo.
* B: True-pip install from PyPI works with internet access (e.g., NAT Gateway).
* C: False-Yum isn't available; pip is the primary tool as a normal user.
* D: False-Misstated; youcaninstall non-preinstalled libraries-likely a typo (intended opposite).
* E: True-Custom repos are supported with proper network config.
* Correct Interpretation: Assuming D's intent was "Youcaninstall..." (common exam error), B, D (corrected), E are true.
* Conclusion: B, D (corrected), E are correct.
OCI documentation states: "In notebook sessions, you can install Python libraries from PyPI (B) or private repositories (E) using pip, but root privileges (A) are not granted-users operate asdatascience." Yum (C) isn' t supported, and D's phrasing contradicts capability-corrected, it's true you can install beyond preinstalled.
B, D (adjusted), E align with OCI's flexibility.
Oracle Cloud Infrastructure Data Science Documentation, "Installing Libraries in Notebook Sessions".

NEW QUESTION # 151
For your next data science project, you need access to public geospatial images. Which Oracle Cloud service provides free access to those images?

A. Oracle Open Data
B. Oracle Cloud Infrastructure (OCI) Data Science
C. Oracle Big Data Service
D. Oracle Analytics Cloud

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Find the OCI service for free geospatial images.
* Evaluate Options:
* A: Big Data Service-Spark processing, not datasets.
* B: Analytics Cloud-Visualization, not data source.
* C: Data Science-ML platform, not dataset provider.
* D: Open Data-Free public datasets, including geospatial-correct.
* Reasoning: Open Data is OCI's public dataset hub.
* Conclusion: D is correct.
OCI documentation states: "Oracle Open Data provides free access to curated datasets, including geospatial images, for public use." A, B, and C serve other purposes-only D delivers free geospatial data.
Oracle Cloud Infrastructure Open Data Documentation, "Dataset Offerings".

NEW QUESTION # 152
......

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