Updated Aug 16, 2026 Certification Exam 1Z0-1110-26 Dumps – Practice Test Questions [Q58-Q73]

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Updated Aug 16, 2026 Certification Exam 1Z0-1110-26 Dumps – Practice Test Questions

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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: MLOps and OCI Integration	20%	– Automation and pipelines 1. Model lifecycle management 2. CI/CD integration – OCI ecosystem 1. IAM and security 2. Object Storage
Topic 2: OCI Data Science Service	30%	– Model catalog 1. Model versioning 2. Model metadata – Projects and notebooks 1. Notebook sessions 2. Conda environments
Topic 3: Model Development and Deployment	30%	– Model training 1. Hyperparameter optimization 2. Experiments – Model deployment 1. Deployment creation 2. Prediction endpoints
Topic 4: Machine Learning Fundamentals	20%	– Supervised learning 1. Classification 2. Regression – Unsupervised learning 1. Clustering 2. Dimensionality reduction

NO.58 Which architecture is based on the principle of “never trust, always verify”?

Federated identity

Zero trust

Fluid perimeter

Defense in depth

NO.59 What do you use the score.py file for?

Configure the deployment infrastructure

Execute the inference logic code

Define the required conda environment

Define the scaling strategy

NO.60 As a data scientist, you are trying to automate a machine learning (ML) workflow and have decided to use Oracle Cloud Infrastructure (OCI) AutoML Pipeline. Which THREE are part of the AutoML Pipeline?

Feature Selection

Adaptive Sampling

Model Deployment

Feature Extraction

Algorithm Selection

NO.61 Which function's objective is to represent the difference between the predictive value and the target value?

Optimizer function

Fit function

Update function

Cost function

NO.62 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

NO.63 Which type of firewalls are designed to protect against web application attacks, such as SQL injection and cross-site scripting?

Stateful inspection firewall

Web Application Firewall

Incident firewall

Packet filtering firewall

NO.64 Which of the following programming languages are most widely used by data scientists?

C and C++

Python, R, and SQL

Java and JavaScript

NO.65 Which statement best describes Oracle Cloud Infrastructure Data Science Jobs?

Jobs let you define and run repeatable tasks on fully managed infrastructure.

Jobs let you define and run repeatable tasks on customer-managed infrastructure.

Jobs let you define and run repeatable tasks on fully managed third-party cloud infrastructures.

Jobs let you define and run all Oracle Cloud DevOps workloads.

NO.66 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

NO.67 You want to make your model more parsimonious to reduce the cost of collecting and processing dat a. You plan to do this by removing features that are highly correlated. You would like to create a heatmap that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method would be appropriate to display the correlation between Continuous and Categorical features?

corr()

correlation_ratio_plot()

pearson_plot()

cramersv_plot()

NO.68 Six months ago you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods would you employ to verify accuracy and lower customer churn?

Drift monitoring

Redeploy the model

Operational monitoring

Retrain the model

Validate the model using recent data

NO.69 Which model has an open-source, open model format that allows you to run machine learning models on different platforms?

PySpark

PyTorch

TensorFlow

ONNX

NO.70 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

NO.71 You have built a machine model to predict whether a bank customer is going to default on a loan. You want to use Local Interpretable Model-Agnostic Explanations (LIME) to understand a specific prediction. What is the key idea behind LIME?

Global behaviour of a machine learning model may be complex, while the local behaviour may be approximated with a simpler surrogate model

Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models

Global and local behaviours of machine learning models are similar

Local explanation techniques are model-agnostic, while global explanation techniques are not

NO.72 As a data scientist, you are tasked with creating a model training job that is expected to take different hyperparameter values on every run. What is the most efficient way to set those parameters with Oracle Data Science Jobs?

Create a new job every time you need to run your code and pass the parameters as environment variables

Create a new job by setting the required parameters in your code and create a new job for every code change

Create your code to expect different parameters either as environment variables or as command-line arguments, which are set on every job run with different values

Create your code to expect different parameters as command-line arguments and create a new job every time you run the code

NO.73 Which of these is a unique feature of the published conda environment?

Provides a comprehensive environment to solve business use cases

Provides availability on network session reactivation

Allows you to save the conda environment to an Object Storage Bucket

Allows you to save the conda environment in a block volume

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Updated Aug 16, 2026 Certification Exam 1Z0-1110-26 Dumps – Practice Test Questions [Q58-Q73]

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Updated Aug 16, 2026 Certification Exam 1Z0-1110-26 Dumps – Practice Test Questions [Q58-Q73]

Oracle 1Z0-1110-26 Exam Syllabus Topics:

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