Easily To Pass New 1z0-1110-22 Verified & Correct Answers [Nov 14, 2023 [Q30-Q45]

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Easily To Pass New 1z0-1110-22 Verified & Correct Answers [Nov 14, 2023

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To prepare for the Oracle 1z0-1110-22 exam, candidates can take advantage of various resources provided by Oracle. These include study guides, practice tests, and online training courses. Additionally, candidates can gain hands-on experience by working on practical projects that involve building and deploying machine learning models on Oracle Cloud Infrastructure.

NO.30 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.

NO.31 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.32 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.

NO.33 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.

NO.34 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.

NO.35 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.

NO.36 You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?

The path to the arhive.zip file.

The local path to your pySpark script.

The compartment of the Data Flow application.

The bucket used to read/write the pySpark script in Object Storage.

The display name of the application.

NO.37 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

NO.38 You are given the task of writing a program that sorts document images by language. Which Oracle AI service would you use?

Oracle Digital Assistant

OCI Speech

OCI Vision

OCI Language

NO.39 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

NO.40 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

NO.41 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.42 You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which of the following TWO prevailing metrics would you use for evaluating multiclass classification model?

Recall

Mean squared error

F1 Score

R-Squared

Explained variance score

NO.43 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.

NO.44 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

NO.45 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

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Oracle 1z0-1110-22 exam is designed for professionals who are seeking to validate their skills and knowledge in the field of data science using Oracle Cloud Infrastructure. Oracle Cloud Infrastructure Data Science 2022 Professional certification exam tests the candidate’s ability to use various data science tools and techniques to analyze data, build predictive models and deploy them in the cloud. 1z0-1110-22 exam also covers the concepts of machine learning, statistical analysis, and data visualization.

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