1Z0-1110-26 Exam Info and Free Practice Test Professional Quiz Study Materials [Q33-Q53]

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1Z0-1110-26 Exam Info and Free Practice Test Professional Quiz Study Materials

Accurate Hot Selling 1Z0-1110-26 Exam Dumps 2026 Newly Released

Oracle 1Z0-1110-26 Exam Syllabus Topics:

Section	Weight	Objectives
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
Model Development and Deployment	30%	– Model deployment 1. Deployment creation 2. Prediction endpoints – Model training 1. Experiments 2. Hyperparameter optimization
Machine Learning Fundamentals	20%	– Unsupervised learning 1. Clustering 2. Dimensionality reduction – Supervised learning 1. Classification 2. Regression
OCI Data Science Service	30%	– Projects and notebooks 1. Notebook sessions 2. Conda environments – Model catalog 1. Model metadata 2. Model versioning

NO.33 Which Web Application Firewall (WAF) service component must be configured to allow, block, or log network requests when they meet specified criteria?

Protection rules

Bot Management

Origin

Web Application Firewall policy

NO.34 What is the primary difference between a data scientist and a data engineer?

A data engineer collects and prepares data, and a data scientist then analyzes it.

A data engineer analyzes data after a data scientist collects and prepares it.

A data engineer builds data pipelines and helps prepare data, while a data scientist is responsible for data collection, preparation, and analysis.

A data engineer creates data flows to be used as templates by the data analyst.

NO.35 For your next data science project, you need access to public geospatial images. Which Oracle Cloud service provides free access to those images?

Oracle Big Data Service

Oracle Analytics Cloud

Oracle Cloud Infrastructure (OCI) Data Science

Oracle Open Data

NO.36 Which two statements are true about published conda environments?

They are curated by Oracle Cloud Infrastructure (OCI) Data Science

The odsc conda init command is used to configure the location of published conda environments

Your notebook session acts as the source to share published conda environments with team members

You can only create a published conda environment by modifying a Data Science conda environment

In addition to service job run environment variables, conda environment variables can be used inData Science Jobs

NO.37 You are a data scientist designing an air traffic control model, and you choose to leverage Oracle AutoML. You understand that the Oracle AutoML pipeline consists of multiple stages and automatically operates in a certain sequence. What is the correct sequence for the Oracle AutoML pipeline?

Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning

Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning

Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning

Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning

NO.38 You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect anomalies in pump sensor dat a. What are you trying to determine? How does the required False Alarm Probability setting affect an anomaly detection model?

It is used to disable the reporting of false alarms

It changes the sensitivity of the model to detecting anomalies

It determines how many false alarms occur before an error message is generated

It adds a score to each signal indicating the probability that it’s a false alarm

NO.39 What is the minimum active storage duration for logs used by Logging Analytics to be archived?

60 days

10 days

30 days

15 days

NO.40 You are a data scientist building a pipeline in the Oracle Cloud Infrastructure (OCI) Data Science service for your machine learning project. You want to optimize the pipeline completion time by running some steps in parallel. Which statement is true about running pipeline steps in parallel?

Steps in a pipeline can be run only sequentially

Pipeline steps can be run in sequence or in parallel, as long as they create a directed acyclic graph (DAG)

All pipeline steps are always run in parallel

Parallel steps cannot be run if they are completely independent of each other

NO.41 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.42 You have received machine learning model training code, without clear information about the optimal shape to run the training. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?

Start with a smaller shape and monitor the Job Run metrics and time required to complete the model training. If the compute shape is not fully utilized, tune the model parameters, and rerun the job. Repeat the process until the shape resources are fully utilized

Start with the strongest compute shape Jobs support and monitor the Job Run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost

Start with a smaller shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and rerun the job. Repeat the process until the processing time does not improve

Start with a random compute shape and monitor the utilization metrics and time required to finish the model training. Perform model training optimizations and performance tests in advance to identify the right compute shape before running the model training as a job

NO.43 Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to datasets fromreference libraries and index websites, such as scikit-learn?

DatasetBrowser

DatasetFactory

ADSTuner

SecretKeeper

NO.44 Which statement accurately describes an aspect of machine learning models?

Model performance degrades over time due to changes in data.

Static predictions become increasingly accurate over time.

Data models are more static and generally require fewer updates than software code.

A high-quality model will not need to be retrained as new information is received.

NO.45 You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?

Adding labels to an image using semantic segmentation, by drawing multiple bounding boxes to an image

Adding a single label to an image

Adding labels to an image by drawing a bounding box to an image is not supported by Data Labeling

Adding labels to an image using object detection, by drawing bounding boxes to an image

Adding multiple labels to an image

NO.46 You have just completed analyzing a set of images by using Oracle Cloud Infrastructure (OCI) Data Labeling, and you want to export the annotated dat a. Which TWO formats are supported?

CONLL V2003

COCO

Data Labeling Service Proprietary JSON

Spacy

NO.47 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.48 Six months ago, you created and deployed a model that predicts customer churn for a call centre. Initially, it was yielding quality predictions. However, over the last two months, users are questioning the credibility of the predictions. Which TWO methods would you employ to verify the accuracy of the model?

Retrain the model

Validate the model using recent data

Drift monitoring

Redeploy the model

Operational monitoring

NO.49 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

NO.50 Which architecture is based on the principle of “never trust, always verify”?

Federated identity

Zero trust

Fluid perimeter

Defense in depth

NO.51 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 your code to expect different parameters as command-line arguments, and create a new job every time you run the code

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

NO.52 Which OCI Data Science interaction method can function without the need of scripting?

OCI Console

CLI

Language SDKs

REST APIs

NO.53 What is feature engineering in machine learning used for?

To perform parameter tuning

To interpret ML models

To transform existing features into new ones

To help understand the dataset features

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1Z0-1110-26 Exam Info and Free Practice Test Professional Quiz Study Materials [Q33-Q53]

Oracle 1Z0-1110-26 Exam Syllabus Topics:

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