1z0-1110-22 Exam Questions Dumps, Selling Oracle Products [Q19-Q41]

admin 1z0-1110-22 Oracle December 9, 2023

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1z0-1110-22 Exam Questions Dumps, Selling Oracle Products

1z0-1110-22 Cert Guide PDF 100% Cover Real Exam Questions

Oracle 1z0-1110-22 certification exam consists of 60 multiple-choice questions, and candidates are given two hours to complete the exam. 1z0-1110-22 exam can be taken in a proctored environment or remotely, depending on the candidate’s preference. To pass the exam, candidates must score at least 70%.

QUESTION 19
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 20
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()

QUESTION 21
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 22
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 23
Using Oracle AutoML, you are tuning hyperparameters on a supported model class and have specified a time budget. AutoML terminates computation once the time budget is exhausted. What would you expect AutoML to return in case the time budget is exhausted before hy-perparameter tuning is completed?

A hyperparameter configuration with a minimum learning rate is returned.

The current best-known hyperparameter configuration is returned.

A random hyperparameter configuration is returned.

The last generated hyperparameter configuration is returned.

QUESTION 24
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

QUESTION 25
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

QUESTION 26
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 27
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 28
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

QUESTION 29
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

QUESTION 30
You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE an-notation classes are supported by the tool.?

Object Detection

Named Entity Extraction

Classification (single/multi label)

Key-Point and Landmark

Polygonal Segmentation

Semantic Segmentation

QUESTION 31
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

QUESTION 32
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.

QUESTION 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.

QUESTION 34
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

QUESTION 35
You want to write a Python script to create a collection of different projects for your data sci-ence team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?

Programming Language Software Development Kit (SDK)

Mobile App

Command Line Interface (CLI)

OCI Console

QUESTION 36
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 37
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.

QUESTION 38
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 39
You have an embarrassingly parallel or distributed batch job on a large amount of data running using Data Science Jobs What would be the best approach to run the workload?

Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload.

Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required.

Reconfigure the job run because Data science jobs does not support embarrassingly parallel.

Create a new job for every job run that you have to run in parallel, because the Date Science Jobs service can have only one job run per job.

QUESTION 40
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.