Get 100% Authentic Oracle 1z0-1110-22 Dumps with Correct Answers [Q27-Q42]

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Get 100% Authentic Oracle 1z0-1110-22 Dumps with Correct Answers

New Training Course 1z0-1110-22 Tutorial Preparation Guide

Passing the Oracle 1z0-1110-22 exam demonstrates that a candidate has the skills and knowledge needed to work with data in a cloud-based environment and build and deploy machine learning models using Oracle Cloud Infrastructure Data Science tools and services. Oracle Cloud Infrastructure Data Science 2022 Professional certification can help professionals advance their careers in data science and increase their value to potential employers.

NEW QUESTION 27
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.

NEW QUESTION 28
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 29
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 30
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 31
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

NEW QUESTION 32
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.

NEW QUESTION 33
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 34
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.

NEW QUESTION 35
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.

NEW QUESTION 36
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 37
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 38
You have received machine learning model training code, without clear information about the optimal shape to run the training on. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?

Start with the strangest compute shape Jobs support and monitor the Job Run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost.

Start with a random compute shape and monitor the utilization metrics and time required to finish the model training Perform model training optimizations and performance tests in advance to identify the right compute shape before running the model training as a job.

Start with a smaller shape and monitor the Job Run metrics and time required to complete the model training: If the compute shape is not fully utilized, tune the model parameters, and rerun the job. Repeat the process until the shape resources are fully utilized.

Start with a smaller shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and re-run the job. Repeat the process until the processing time does not improve.

NEW QUESTION 39
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

NEW QUESTION 40
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 41
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 42
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

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Oracle 1z0-1110-22 (Oracle Cloud Infrastructure Data Science 2022 Professional) exam is a certification exam that measures the knowledge and skills of professionals in the field of data science using Oracle Cloud Infrastructure. 1z0-1110-22 exam is designed to test a candidate’s ability to use Oracle Cloud Infrastructure tools and services to develop and deploy machine learning models, analyze data, and perform data visualization.

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