Obtain the 1z0-1110-22 PDF Dumps Get 100% Outcomes Exam Questions For You To Pass [Q32-Q56]

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Obtain the 1z0-1110-22 PDF Dumps Get 100% Outcomes Exam Questions For You To Pass

1z0-1110-22 Exam Dumps Contains FREE Real Quesions from the Actual Exam

To pass the Oracle 1z0-1110-22 exam, candidates must demonstrate a deep understanding of various data science concepts, including data exploration techniques, data visualization, data cleaning, and model evaluation. They must also be proficient in using Oracle Cloud Infrastructure services, such as Oracle Autonomous Database, Oracle Analytics Cloud, and Oracle Machine Learning. 1z0-1110-22 exam requires a thorough understanding of these services’ features and how to use them to solve real-world data science problems.

NEW QUESTION 32
You want to make your model more parsimonious to reduce the cost of collecting and processing dat a. You plan to do this by removing features that are highly correlated. You would like to create a heat map that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method would be appropriate to display the correlation between Continuous and Categorical features?

Corr{}

Correlation_ratio_plot{}

Pearson_plot{}

Cramersv_plot{}

NEW QUESTION 33
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 34
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 35
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 36
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 37
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()

NEW QUESTION 38
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 39
You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?

Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.

Adding a single label to an image.

Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling

Adding labels to an image using object detection, by drawing bounding boxes to an im-age.

Adding multiple labels to an image.

NEW QUESTION 40
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.

NEW QUESTION 41
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

NEW QUESTION 42
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 43
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 44
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 45
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 46
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 47
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 48
When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py fie?

Define the compute scaling strategy.

Configure the deployment infrastructure.

Define the inference server dependencies.

Execute the inference logic code

NEW QUESTION 49
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 50
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 51
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

NEW QUESTION 52
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 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 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

Oracle 1z0-1110-22 exam is designed to test the knowledge and skills of professionals in the field of data science in cloud-based environments. 1z0-1110-22 exam is part of the Oracle Cloud Infrastructure Data Science Professional certification program and is intended for data scientists, analysts, and engineers who are interested in building and deploying machine learning models using cloud-based tools.

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