1z0-1110-22 Dumps Updated Mar 19, 2023 Practice Test and 58 unique questions [Q21-Q37]

1z0-1110-22 Dumps Updated Mar 19, 2023 Practice Test and 58 unique questions [Q21-Q37]

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1z0-1110-22 Dumps Updated Mar 19, 2023 Practice Test and 58 unique questions

2023 Latest 100% Exam Passing Ratio – 1z0-1110-22 Dumps PDF

NEW QUESTION 21
You want to evaluate the relationship between feature values and model predictions. You sus-pect that some of the features are correlated. Which model explanation technique would you recommend?

Accumulated Local Effects.

Local Interpretable Model-Agnostic Explanations.

Feature Dependence Explanations.

Feature Permutation Importance Explanations.

NEW QUESTION 22
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 23
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 24
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?

Data Science Jots does not support automatic fog collection and storing.

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

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

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

NEW QUESTION 25
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

That main top level where the code is run.

NEW QUESTION 26
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 27
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 exploratory data analysis. From which TWO places can you access the ADS SDK?

Oracle Autonomous Data Warehouse

Oracle Machine Learning

Conda environments in Oracle Cloud infrastructure (OCI) Data Science.

Python Package Index (PyPi)

Oracle Big Data Service

NEW QUESTION 28
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.

NEW QUESTION 29
You have developed a model training code that regularly checks for new data in Object Storage and retrains the model. Which statement best describes the Oracle Cloud Infrastructure (OCI) services that can be accessed from Data Science Jobs?

Data Science Jobs can access OCI resources only via the resource principal.

Some OCI services require authorizations not supported by Data Science Jobs.

Data Science Jobs cannot access all OCI services.

Data Science Jobs can access all OCI services.

NEW QUESTION 30
You have built a machine model to predict whether a bank customer is going to default on a loan. You want to use Local Interpretable Model-Agnostic Explanations (LIME) to understand a specific prediction. What is the key idea behind LIME?

Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.

Local explanation techniques are model agnostic, while global explanation techniques are not.

Global behavior of a machine learning model may be complex, while the local behavior may be approximated with a simpler surrogate model.

Global and local behaviors of machine learning models are similar.

NEW QUESTION 31
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 32
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 pa-rameters with Oracle Data Science Jobs?

Create a new job every time you need to run your code and pass the parameters as en-vironment variables.

Create your code to expect different parameters as command line arguments, and create it new job every time you run the code.

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 a new no by setting the required parameters in your code, and create a new job for mery code change.

NEW QUESTION 33
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

NEW QUESTION 34
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

NEW QUESTION 35
You are a data scientist working for a utilities company. You have developed an algorith that detects anomalies from a utility reader in the grid. The size of the model artifact is about 2 GB, and you are trying to store it in the model catalog. Which THREE interfaces would you use to save the model artifact into the model catalog?

Console

Accelerated Data Science (ADS) Software Development Kit (SDK)

Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)

OCI Python SDK

Git CLI

ODSC CLI

NEW QUESTION 36
You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?

Table extraction

Punctuation correction

Sentence diagramming

Topic classification

Sentiment analysis

NEW QUESTION 37
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

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