100% Free 1z0-1110-25 Exam Dumps to Pass Exam Easily from Test4Cram [Q36-Q50]

Rate this post

100% Free 1z0-1110-25 Exam Dumps to Pass Exam Easily from Test4Cram

Free 1z0-1110-25 Exam Questions 1z0-1110-25 Actual Free Exam Questions

Oracle 1z0-1110-25 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 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	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.

QUESTION 36
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?

FastConnect to an on-premises network

Primary Virtual Network Interface Card (VNIC)

NAT Gateway with public internet access

Service Gateway with private subnet access

QUESTION 37
You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect anomalies in pump sensor data. 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

QUESTION 38
Select two reasons why it is important to rotate encryption keys when using Oracle Cloud Infrastructure (OCI) Vault to store credentials or other secrets.

Key rotation allows you to encrypt no more than five keys at a time

Key rotation improves encryption efficiency

Periodically rotating keys makes it easier to reuse keys

Key rotation reduces risk if a key is ever compromised

Periodically rotating keys limits the amount of data encrypted by one key version

QUESTION 39
You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail? Which THREE steps would you perform?

Update the deployment to add more instances

Delete the deployment

Update the deployment to use fewer instances

Update the deployment to use a larger virtual machine (more CPUs/memory)

Reduce the load balancer bandwidth limit so that fewer requests come in

QUESTION 40
You are a data scientist working for a manufacturing company. You have developed a forecasting model to predict the sales demand in the upcoming months. You created a model artifact that contained custom logic requiring third-party libraries. When you deployed the model, it failed to run because you did not include all the third-party dependencies in the model artifact. What file should be modified to include the missing libraries?

model_artifact_validate.py

score.py

runtime.yaml

requirements.txt

QUESTION 41
In which two ways can you improve data durability in Oracle Cloud Infrastructure Object Storage?

Setup volumes in a RAID1 configuration

Enable server-side encryption

Enable Versioning

Limit delete permissions

Enable client-side encryption

QUESTION 42
Which OCI service enables you to build, train, and deploy machine learning models in the cloud?

Oracle Cloud Infrastructure Data Catalog

Oracle Cloud Infrastructure Data Integration

Oracle Cloud Infrastructure Data Science

Oracle Cloud Infrastructure Data Flow

QUESTION 43
Which is NOT a part of Observability and Management Services?

Event Services

OCI Management Service

Logging Analytics

Logging

QUESTION 44
What is a conda environment?

A system that manages package dependencies

A collection of kernels

An open-source environment management system

An environment deployment system on Oracle AI

QUESTION 45
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

QUESTION 46
You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail? Pick THREE.

Update the deployment to add more instances

Delete the deployment

Update the deployment to use fewer instances

Update the deployment to use a larger virtual machine (more CPUs/memory)

Reduce the load balancer bandwidth limit so that fewer requests come in

QUESTION 47
When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) DataScience model catalog, you create a score.py file. What is the purpose of the score.py file?

Configure the deployment infrastructure

Execute the inference logic code

Define the compute scaling strategy

Define the inference server dependencies

QUESTION 48
You want to make your model more frugal to reduce the cost of collecting and processing data. 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 is appropriate to display the comparability between Continuous and Categorical features?

pearson_plot()

cramersv_plot()

correlation_ratio_plot()

corr()

QUESTION 49
Which type of file system does File Storage use?

NFSv3

iSCSI

Paravirtualized

NVMe SSD

QUESTION 50
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