2023 Valid 1z0-1110-22 test answers & Oracle Exam PDF [Q19-Q40]

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2023 Valid 1z0-1110-22 test answers & Oracle Exam PDF

Free Oracle 1z0-1110-22 Exam Questions and Answer from Training Expert Dumpleader

Oracle Cloud Infrastructure Data Science 2022 Professional certification exam is designed to test the skills and knowledge of professionals working in the field of data science. 1z0-1110-22 exam covers a range of topics related to data preparation, model development, and deployment, as well as advanced topics such as model performance optimization and security. Professionals who earn the certification gain increased credibility and recognition in the field of data science, as well as better job opportunities and higher salaries. To prepare for the exam, professionals should have a strong background in data science and machine learning and should take advantage of a range of study materials.

Passing the Oracle 1z0-1110-22 exam demonstrates that a candidate has the skills and knowledge needed to work with data in a cloud-based environment and build and deploy machine learning models using Oracle Cloud Infrastructure Data Science tools and services. Oracle Cloud Infrastructure Data Science 2022 Professional certification can help professionals advance their careers in data science and increase their value to potential employers.

NEW QUESTION 19
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 com-pute shape, and capy your flies and data from your temporary bucket onto your new notebook session.

NEW QUESTION 20
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 dat a. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?

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

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

OCI Data Science allows privileges in notebook sessions.

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

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

NEW QUESTION 21
You have an embarrassingly parallel or distributed batch job on a large amount of data running using Data Science Jobs What would be the best approach to run the workload?

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

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.

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

NEW QUESTION 22
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?

DataFramLabelEncode()

auto_transform()

OneHotEncoder()

show_in_notebook()

NEW QUESTION 23
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?

sample()

suggeste_recoomendations()

auto_transform()

visualize_transforms()

NEW QUESTION 24
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?

Package your personal OC file and keys in the job artifact.

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.

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

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

NEW QUESTION 25
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?

odsc conda publish –slug <SLUG>

odsc conda create –file manifest.yaml

odsc conda init -b <your-bucket-name> -a <api_key or resource_principal>

odsc conda list –override

NEW QUESTION 26
You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?

Model Depository

Model Catalog

OCI Vault

Data Science Artifactory

NEW QUESTION 27
You have a data set with fewer than 1000 observations, and you are using Oracle AutoML to build a classifier. While visualizing the results of each stage of the Oracle AutoML pipeline, you notice that no visualization has been generated for one of the stages. Which stage is not visualized?

Feature selection

Algorithm selection

Adaptive sampling

Hyperparameter tuning

NEW QUESTION 28
You are using Oracle Cloud Infrastructure Anomaly Detection to train a model to detect anomalies in pump sensor dat a. How does the required False Alarm Probability settings affect an anomaly detection model?

It changes the sensitivity of the model to detect anomalies.

It is used to disable the reporting of false alarm.

It Adds a score to each signal indicating the probability that it is false alarm.

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

NEW QUESTION 29
Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to data sets from reference libraries and index websites, such as scikit-learn?

ADSTurner

DatasetFactory

SecretKeeper

Dataset Browser

NEW QUESTION 30
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 steps to develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?

Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.

Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK

Configure core-site.xml. Install a PySPark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK Develop your PySpark ap-plication. Launch a notebook session.

Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.

Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.

Install a spark conda environment. Configure core-site.xml. Launch a notebook session: Create a Data Flow application with the Accelerated Data Science (ADS) SOK. Develop your PySpark application

NEW QUESTION 31
The Accelerated Data Science (ADS) model evaluation classes support different types of ma-chine learning modeling techniques Which THREE types of modeling techniques are supported by ADS Evaluators?

Recurrent Neural Network

Regression Analysis

Principal Component Analysis

Binary Classification

Multiclass Classification

K-Means Clustering

NEW QUESTION 32
You trained a model to predict housing prices for your city. Which two metrics from the Ac-celerated Data Science (ADS) Evaluation class can be used to evaluate the regression model you just trained?

Mean Absolute Error

Explained Variance Score

Weighted Recall

Weighted Precision

F-1 Score

NEW QUESTION 33
You are a data scientist designing an air traffic control model, and you choose to leverage Or-acle 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?

Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning.

Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning.

Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning.

Algorithm selection, Adaptive sampling. Feature selection, Hyperparameter tuning.

NEW QUESTION 34
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 Claud

Oracle Cloud Infrastructure (OCI) Data Science

Oracle Open Data

NEW QUESTION 35
Select two reasons why it is important to rotate encryption keys when using Oracle Cloud In-frastructure (OCI) Vault to store credentials or other secrets.?

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

Key rotation reduces risk if a key is ever compromised.

Key rotation improves encryption efficiency.

Periodically rotating keys make it easier to reuse key.

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

NEW QUESTION 36
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?

Document classification

Image classification

Text recognition

Key Value extraction

NEW QUESTION 37
You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which TWO should you look for to ensure permissions are set up correctly?

The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.

The model artifact is saved to the block volume of the notebook session.

The dynamic group’s matching rule exists for notebook sessions in this compartment.

The policy for the dynamic group grants manages permissions for the model catalog in this compartment.

The policy for your user group grants manage permissions for the model catalog in this compartment.

NEW QUESTION 38
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.

NEW QUESTION 39
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 subfolder and classes. What is the best way to run this project as a job?

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.

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

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

ZIP the entire code project folder and upload it as a Job artifact Jobs automatically identifies

NEW QUESTION 40
Which TWO statements are true about published conda environments?

The odsc conda init command is used to configure the location of published conda en-vironments.

They can be used in Data Science Jobs and model deployments.

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

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

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

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