Oracle 1z0-1110-22 Test Engine Dumps Training With 58 Questions [Q19-Q37]

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Oracle 1z0-1110-22 Test Engine Dumps Training With 58 Questions

1z0-1110-22 Questions Pass on Your First Attempt Dumps for Oracle Cloud Infrastructure Certified

The Oracle 1z0-1110-22 exam is a certification exam designed for professionals who want to demonstrate their expertise in Oracle Cloud Infrastructure data science. This exam is intended to validate the knowledge and skills required to design, implement, and manage data science solutions using Oracle Cloud Infrastructure Data Science. Passing this exam will prove that you have the necessary skills to enable machine learning models and analyze big data.

The Oracle 1z0-1110-22 exam covers a wide range of topics related to data science, including machine learning, data visualization, data preparation, and data analysis. Candidates are expected to have a solid understanding of statistical analysis, programming languages such as Python and R, and data modeling techniques. They should also be familiar with cloud-based data science tools and technologies, including the Oracle Cloud Infrastructure, Oracle Autonomous Database, Oracle Analytics Cloud, and Oracle Machine Learning.

QUESTION 19
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

QUESTION 20
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

QUESTION 21
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.

QUESTION 22
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.

QUESTION 23
You have trained three different models on your data set using Oracle AutoML. You want to visualize the behavior of each of the models, including the baseline model, on the test set. Which class should be used from the Accelerated Data Science (ADS) SDK to visually compare the models?

ADS Explainer

ADS Evaluator

ADSTuner

EvaluationMetrics

QUESTION 24
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

QUESTION 25
You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your condo environment. After running this command, you get a network timeout error. What might be missing from your networking configuration?

Service Gateway with private subnet access.

NAT Gateway with public internet access.

FastConnect to an on-premises network.

Primary Virtual Network Interface Card (VNIC).

QUESTION 26
You are a data scientist working for a manufacturing company, you have developed a fore-casting model to predict the sales demand in the upcoming months. You created a model artifact that contained custom logic requiring third party libraries. When you deployed the model, it failed to run because you did not include all the third-party dependencies in the model artifact.?

Score.py

Requirement.txt

Model_artifact_validate.py

Runtime.yaml

QUESTION 27
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.

QUESTION 28
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.

QUESTION 29
Six months ago, you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods customer churn would you employ to verify the accuracy of the model?

Redeploy the model

Retrain the model

Operational monitoring

Validate the model using recent data

Drift monitoring

QUESTION 30
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()

QUESTION 31
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

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{}

QUESTION 33
You are using a third-party Continuous Integration/Continuous Delivery (CI/CD) tool to create a pipeline for preparing and training models. How would you integrate a third-party tool outside Oracle Cloud Infrastructure (OCI) to access Data Science Jobs?

Third-party software can access Data Science Jobs by using any of the OCI Software Development Kits (SDKs).

Data Science Jobs does not accept code from third-party tools, therefore you need to run the pipeline externally.

Third-party tools use authentication keys to create and run.

Data Science Jobs Data Science Jobs is not accessible from outside OCI.

QUESTION 34
You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, such as the types of features, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?

Show_in_notebook{}

To_xgb{}

Compute{}

Show_corr{}

QUESTION 35
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()

QUESTION 36
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.

QUESTION 37
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.

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