2024 Realistic Verified 1z0-1110-23 exam dumps Q&As – 1z0-1110-23 Free Update [Q45-Q69]

Rate this post

2024 Realistic Verified 1z0-1110-23 exam dumps Q&As – 1z0-1110-23 Free Update

Use Real 1z0-1110-23 Dumps – 100% Free 1z0-1110-23 Exam Dumps

Oracle 1z0-1110-23 Exam Syllabus Topics:

Topic	Details
Topic 1	Create & Manage Jobs for custom tasks Discuss OCI Data Science Overview & Concepts
Topic 2	Create and train models using OCI and Open source Libraries Create and manage Projects and Notebook sessions
Topic 3	reate and Use automated ML capability from Oracle AutoML Use Pipelines to automate machine learning workflow
Topic 4	Obtain Global & Local Model Explanations Create and Export a Dataset using OCI Data Labeling

QUESTION 45
You are asked to prepare data for a custom-built model that requires transcribing Spanish video recordings into a readable text format with profane words identified.
Which Oracle Cloud service would you use?

OCI Translation

OCI Language

OCI Speech

OCI Anomaly Detection

QUESTION 46
As a data scientist, you are working on a global health data set that has data from more than 50 countries. You want to encode three features such as ‘countries’, ‘race’ and ‘body organ’ as categories.
Which option would you use to encode the categorical feature?

OneHotEncoder ()

DataFrameLabelEncoder ()

show_in_notebook ()

auto_transform()

QUESTION 47
You are asked to prepare data for a custom-built model that requires transcribing Spanish video recordings into a readable text format with profane words identified. Which Oracle Cloud service would you use?

OCI Translation

OCI Language

OCI Anomaly Detection

OCI Speech

QUESTION 48
Which Oracle Cloud Infrastructure (OCI) service should you use to create and run Spark applications using ADS?

Data Integration

Vault

Data Flow

Analytics Cloud

QUESTION 49
You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) Data Science 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?

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

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

OCI Data Science allows root privileges in notebook sessions.

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

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

QUESTION 50
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 51
You want to evaluate the relationship between feature values and target variables. You have a large number of observations having a near uniform distribution and the features are highly correlated.
Which model explanation technique should you choose?

Feature Permutation Importance Explanations

Local Interpretable Model-Agnostic Explanations

Feature Dependence Explanations

Accumulated Local Effects

QUESTION 52
You have just completed analyzing a set of images by using Oracle Cloud Infrastructure (OCI) Data Labelling, and you want to export the annotated data. Which two formats are supported?

CONLL V2003

COCO

Data Labelling Service Proprietary JSON

Spacy

QUESTION 53
You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolders and classes.
What is the best way to run this project as a Job?

ZIP the entire code project folder and upload it as a Job artifact. Jobs automatically identifies the_main_ top level where the code is run.

Rewrite your code so that it is a single executable Python or Bash/Shell script file.

ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs identifies the main executable file automatically.

ZIP the entire code project folder, upload it as a Job artifact on job creation, and set JOB_RUN_ENTRYPOINT to point to the main executable file.

QUESTION 54
Which of the following TWO non-open source JupyterLab extensions has Oracle Cloud In-frastructure (OCI) Data Science developed and added to the notebook session experience?

Environment Explorer

Table of Contents

Command Palette

Notebook Examples

Terminal

QUESTION 55
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.

QUESTION 56
data scientist, you use the Oracle Cloud Infrastructure (OCI) Language service to train custom models. Which types of custom models can be trained?

Image classification, Named Entity Recognition (NER)

Text classification, Named Entity Recognition (NER)

Sentiment Analysis, Named Entity Recognition (NER)

Object detection, Text classification

QUESTION 57
As a data scientist, you create models for cancer prediction based on mammographic images.
The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix.
Model 1 has Test accuracy is 80% and recall is 70%.
* Model 2 has Test accuracy is 75% and recall is 85%.
Which model would you prefer and why?

Model 2, because recall is high.

Model 1, because the test accuracy is high.

Model 2, because recall has more impact on predictions in this use se.

Model 1, because recall has lesser impact on predictions in this use case

QUESTION 58
As you are working in your notebook session, you find that your notebook session does not have enough compute CPU and memory for your workload. How would you scale up your notebook session without losing your work?

Ensure your files and environments are written to the block volume storage under the /home/datascience directory, deactivate the notebook session, and activate the notebook larger compute shape selected.

Down your files and data to your local machine, delete your notebook session, provision tebook session on a larger compute shape, and upload your files from your local the new notebook session.

Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.

Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete tur ctebook session, provision a new notebook session on a larger compute shape, and capy your flies and data from your temporary bucket onto your new notebook session.

QUESTION 59
. 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?

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 60
While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?

visualize_transforms ()

auto_transform()

sample ()

suggest_recommendations()

QUESTION 61
Youare 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

requirements.txt

runtime.yaml

QUESTION 62
As a data scientist, you have stored sensitive data in a database. You need to protect this data by using a master encryption algorithm, which uses symmetric keys. Which master encryption algorithm would you choose in the Oracle Cloud Infrastructure (OCI) Vault service?

Triple Data Encryption Standard Algorithm

Elliptical Curve Cryptography Digital Signature Algorithm

Advanced Encryption Standard Keys

Rivert-Shamir-Adleman Keys

QUESTION 63
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

QUESTION 64
You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket.
Which two commands are required to publish the conda environment?

odac conda publish –slug <SLUG>

odsc conda list –override

odsc conda init –bucket_namespace <NAMESPACE> –bucket_name <BUCKET>

odsc conda create –file manifest.yaml

conda activate /home/datascience/conda/<SLUG>

QUESTION 65
The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?

Oracle.automl.visualize_algorith_selection_trails()

Oracle.automl.visualize_adaptive_sampling_trails()

Oracle.automl.print_trials()

Oracle.automl.visualize_tuning_trails()

QUESTION 66
You have created a Data Science project in a compartment called Development and shared it with a group of collaborators. You now need to move the project to a different compartment called Production after completing the current development iteration.
Which statement is correct?

Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.

Moving a project to a different compartment requires deleting all its associated notebook sessions and models first.

You cannot move a project to a different compartment after it has been created.

You can move a project to a different compartment without affecting its associated notebook sessions and models

QUESTION 67
The feature type TechJob has the following registered validators:
Tech-Job.validator.register(name=’is_tech_job’, handler=is_tech_job_default_handler) Tech-Job.validator.register(name=’is_tech_job’, handler= is_tech_job_open_handler, condi-tion=(‘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 sales 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.

QUESTION 68
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 Want any exam dump in pdf email me at [email protected] (Little Paid)

Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning

Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning

Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning

QUESTION 69
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?

Update the deployment to use fewer instances.

Delete the deployment.

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

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

Update the deployment to add more instances.

Pass 1z0-1110-23 exam Updated 80 Questions: https://www.actualcollection.com/1z0-1110-23-exam-questions.html

Oracle 1z0-1110-23 Exam Syllabus Topics:

Leave a comment Cancel reply