[Dec-2025] Pass 1z0-1110-25 Exam in First Attempt Updated 1z0-1110-25 Exam Questions [Q19-Q42]

December 23, 2025 1z0-1110-25, Oracle 0 Comments

[Dec-2025] Pass 1z0-1110-25 Exam in First Attempt Updated 1z0-1110-25 Exam Questions [Q19-Q42]

4.5/5 - (2 votes)

[Dec-2025] Pass 1z0-1110-25 Exam in First Attempt Updated 1z0-1110-25 Exam Questions

Oracle Cloud Dumps 1z0-1110-25 Exam for Full Questions – Exam Study Guide

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	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	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.

Q19. You are working as a data scientist for a healthcare company. They decided to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended steps to develop a PySpark application in OCI Data Science?

Launch a notebook session, configure core-site.xml, install a PySpark conda environment, develop your PySpark application, create a Data Flow application with the Accelerated Data Science (ADS) SDK

Configure core-site.xml, install a PySpark conda environment, create a Data Flow application with the Accelerated Data Science (ADS) SDK, develop your PySpark application, launch a notebook session

Install a Spark conda environment, configure core-site.xml, launch a notebook session, create a Data Flow application with the Accelerated Data Science (ADS) SDK, develop your PySpark application

Launch a notebook session, install a PySpark conda environment, configure core-site.xml, develop your PySpark application, create a Data Flow application with the Accelerated Data Science (ADS) SDK

Q20. Which encryption is used for Oracle Data Science?

256-bit Advanced Encryption Standard (AES-256)

Data Encryption Standard (DES)

Triple DES (TDES)

Twofish

Rivest Shamir Adleman (RSA)

Q21. What does the Data Science Service template in Oracle Resource Manager (ORM) NOTautomatically create?

Required user groups

Dynamic groups

Individual Data Science users

Policies for a basic use case

Q22. Which statement about Oracle Cloud Infrastructure Data Science Jobs is true?

Jobs provisions the infrastructure to run a process on-demand

Jobs comes with a set of standard tasks that cannot be customized

You must create and manage your own Jobs infrastructure

You must use a single Shell/Bash or Python artifact to run a job

Q23. How are datasets exported in the OCI Data Labeling service?

As a binary file

As an XML file

As a line-delimited JSON file

As a CSV file

Q24. You are working as a data scientist for a healthcare company. They decide to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended stepsto develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?

Install a Spark conda environment, configure core-site.xml, launch a notebook session, create a Data Flow application with the Accelerated Data Science (ADS) SDK, develop your PySpark application

Configure core-site.xml, install a PySpark conda environment, create a Data Flow application with the Accelerated Data Science (ADS) SDK, develop your PySpark application, launch a notebook session

Launch a notebook session, configure core-site.xml, install a PySpark conda environment, develop your PySpark application, create a Data Flow application with the Accelerated Data Science (ADS) SDK

Launch a notebook session, install a PySpark conda environment, configure core-site.xml, develop your PySpark application, create a Data Flow application with the Accelerated Data Science (ADS) SDK

Q25. You have just completed analyzing a set of images by using Oracle Cloud Infrastructure (OCI) Data Labeling, and you want to export the annotated data. Which TWO formats are supported?

CONLL V2003

COCO

Data Labeling Service Proprietary JSON

Spacy

Q26. You are given a task of writing a program that sorts document images by language. Which Oracle AI Service would you use?

Oracle Digital Assistant

OCI Vision

OCI Speech

OCI Language

Q27. You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage Bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?

Create a pre-authenticated request (PAR) for the Object Storage bucket and use that in the job code

Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog

Package your personal OCI config file and keys in the job artifact

Store your personal OCI config file and keys in the Vault, and access the Vault through the job run resource principal

Q28. Which statement is true about standards?

They may be audited

They are the result of a regulation or contractual requirement or an industry requirement

They are methods and instructions on how to maintain or accomplish the directives of the policy

They are the foundation of corporate governance

Q29. You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?

Table extraction

Punctuation correction

Sentence diagramming

Topic classification

Sentiment analysis

Q30. 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 network configuration?

The NAT Gateway with public internet access

Service Gateway with private subnet access

FastConnect to an on-premises network

Primary Virtual Network Interface Card (VNIC)

Q31. The feature type TechJob has the following registered validators:
* TechJob.validator.register(name=’is_tech_job’, handler=is_tech_job_default_handler)
* TechJob.validator.register(name=’is_tech_job’, handler=is_tech_job_open_handler, condition= (‘job_family’,))
* TechJob.validator.register(name=’is_tech_job’, handler=is_tech_job_closed_handler, condition= (‘job_family’: ‘IT’))When you run is_tech_job(job_family=’Engineering’), what does the feature type validator system do?

Execute the is_tech_job_default_handler handler

Throw an error because the system cannot determine which handler to run

Execute the is_tech_job_closed_handler handler

Execute the is_tech_job_open_handler handler

Q32. You want to build a multistep machine learning workflow by using the Oracle Cloud Infrastructure (OCI) Data Science Pipeline feature. How would you configure the conda environment to run a pipeline step?

Configure a compute shape

Configure a block volume

Use command-line variables

Use environmental variables

Q33. Which step is unique to MLOps, as opposed to DevOps?

Continuous deployment

Continuous integration

Continuous delivery

Continuous training

Q34. 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?

OCI Data Science allows root privileges in notebook sessions

You can install any open-source package available in a publicly accessible Python Package Index (PyPI) repository

You can only install libraries using yum and pip as a normal user

You cannot install a library that’s not preinstalled in the provided image

You can install private or custom libraries from your own internal repositories

Q35. What happens when a notebook session is deactivated?

Compute cost increases due to frequent deactivation

The data on boot volume is preserved

The underlying compute instance stops

The block volume attached to the notebook is permanently deleted

Q36. You have an embarrassingly parallel or distributed batch job with a large amount of data running using Data Science Jobs. What would be the best approach to run the workload?

Create a job in Data Science Jobs and then start the number of simultaneous job runs required for your workload

Create a new job for every job run that you have to run in parallel, because the Data Science Job service can have only one job per job

Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required

Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel

Q37. You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?

The path to the archive.zip file

The local path to your PySpark script

The compartment of the Data Flow application

The bucket used to read/write the PySpark script in Object Storage

The display name of the application

Q38. Which OCI service provides a scalable environment for developers and data scientists to run Apache Spark applications at scale?

Data Science

Anomaly Detection

Data Labeling

Data Flow

Q39. While working with Git on Oracle Cloud Infrastructure (OCI) Data Science, you notice that two of the operations are taking more time than the others due to your slow internet speed. Which TWO operations would experience the delay?

Moving the changes into staging area for the next commit

Updating the local repo to match the content from a remote repository

Pushing changes to a remote repository

Making a commit that is taking a snapshot of the local repository for the next push

Converting an existing local project folder to a Git repository

Q40. Which cache rules criterion matches if the concatenation of the requested URL path and query are identical to the contents of the value field?

URL_PART_CONTAINS

URL_IS

URL_PART_ENDS_WITH

URL_STARTS_WITH

Q41. You are running a pipeline in the OCI Data Science service and want to override some of the pipeline’s default settings. Which of the following statements about overriding pipeline defaults is true?

Pipeline defaults can be overridden only during pipeline creation.

Pipeline defaults can be overridden only by the Administrator.

Pipeline defaults can be overridden before starting the pipeline execution.

Pipeline defaults cannot be overridden once the pipeline has been created.

Q42. Triggering a PagerDuty notification as part of Monitoring is an example of what in the OCI Console?

Action

Rule

Function

Event