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Oracle 1z0-1110-23 Exam Syllabus Topics:

Topic	Details
Topic 1	Create and train models using OCI and Open source Libraries Create and manage Projects and Notebook sessions
Topic 2	Obtain Global & Local Model Explanations Create and Export a Dataset using OCI Data Labeling
Topic 3	Monitor & Log using MLOps Practices Access data from different sources
Topic 4	Create & Manage Jobs for custom tasks Discuss OCI Data Science Overview & Concepts

NO.14 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?

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

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 keys in the Vault and access the Vault through the job run resource principal.

Package your personal OCI config file and keys in the job artifact

NO.15 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()

NO.16 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

NO.17 You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?

Model type selection

Model validation

Data access

Feature engineering

NO.18 You have trained a machine learning model on Oracle Cloud Infrastructure (OCI) Data Science, and you want to save the code and associated pickle file in a Git repository. To do this, you have to create a new SSH key pair to use for authentication. Which SSH command would you use to create the public/private algorithm key pair in the notebook session?

ssh-agent

ssh-copy-id

ssh-add

ssh-Keygen

NO.19 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>

NO.20 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

NO.21 During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most effi-cient way to do this with Data Science Jobs?

On the job run, set the environment variable that helps increase the size of the storage.

Your code using too much disk space. Refactor the code to identify the problem.

Edit the job, change the size of the storage of your job, and start a new job run.

Create a new job with increased storage size and then run the job.

NO.22 Which two statements are true about published conda environments?

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

The odac 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 in Data Science Jobs.

NO.23 After you have created and opened a notebook session, you want to use the Accelerated Data Science (ADS) SDK to access your data and get started with an exploratory data analysis.
From which two places can you access or install the ADS SDK?

Oracle Autonomous Data Warehouse

Oracle Machine Learning (OML)

Oracle Big Data Service

Conda environments in Oracle Cloud Infrastructure (OCI) Data Science

Python Package Index (PyPI

NO.24 The Accelerated Data Science (ADS) model evaluation classes support different types of machine learning modeling techniques. Which three types of modeling techniques are supported by ADS Evaluators?

Principal Component Analysis

Multiclass Classification

K-means Clustering

Recurrent Neural Network

Binary Classification

Regression Analysis

NO.25 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.

NO.26 What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?

Call the Accented Data Science (ADS) command to enable Al integration

Create and upload the API signing key and config file

Import the REST API

Create and upload execute.py and runtime.yaml

NO.27 What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?

Create and upload score.py and runtime.yaml.

Create and upload the APIsigning key and config file.

Import the REST API.

Call the ADS command to enable AI integration

NO.28 Which Oracle Cloud Infrastructure (OCI) service should you use to create and run Spark applications using ADS?

Data Integration

Vault

Data Flow

Analytics Cloud

NO.29 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

NO.30 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.

NO.31 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

NO.32 During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most efficient way to do this with Data Science Jobs?

Create a new job with increased storage size and then run the job.

On the job run, set the environment variable that helps increase the size-of the storage.

Your code is using too much disk space. Refactor the code to identify the problem.

Edit the job, change the size of the storage of your job, and start a new job run.

NO.33 You are a data scientist trying to load data into your notebook session. You understand that Accelerated Data Science (ADS) SDK supports loading various data formats.
Which of the following THREE are ADS supported data formats?

DOCX

Pandas DataFrame

JSON

Raw Images

XML

NO.34 You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?

On job creation, enable logging and select a log group. Then, select either a log or the option to enable automatic log creation.

Make sure that your code is using the standard logging library and then store all the logs to Object Storage at the end of the job.

Create your own log group and use a third-party logging service to capture job run details for log collection and storing.

You can implement custom logging in your code by using the Data Science Jobs logging service.

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Oracle 1z0-1110-23 Exam Syllabus Topics: