1z0-1110-23 Oracle Cloud Infrastructure Data Science 2023 Professional Questions and Answers

Questions 4

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?

Options:

Data access

Feature engineering

Model type selection

Model validation

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Questions 5

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?

Options:

Table extraction

Punctuation correction

Sentence diagramming

Topic classification

Sentiment analysis

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Questions 6

You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you

want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations ()

tool to the ADSDataset object, it showed you user-detected issues with all the recommended

changes to apply to the dataset. Which option should you use to apply all the recommended

transformations at once?

Options:

get_transformed_dataset ()

fit_transform()

auto_transform()

visualize_transforms ()

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Questions 7

You want to evaluate the relationship between feature values and target variables. You have a

large number of observations having a near uniform distribution and the features are highly

correlated.

Which model explanation technique should you choose?

Options:

Feature Permutation Importance Explanations

Local Interpretable Model-Agnostic Explanations

Feature Dependence Explanations

Accumulated Local Effects

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Questions 8

What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?

Options:

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

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Questions 9

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?

Options:

Launch a notebook session. Install a PySpark conda environment. Configure core-site.xml.

Develop your PySpark application. Create a Data Flow application with the Accelerated 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) SDK. Develop your

PySpark application.

Configure core-site.xml. Install a PySpark conda environment. Create a Data Flow application

with the Accelerated Data Science (ADS) SDK. Develop your PySpark application. Launch a

notebook session.

Launch a notebook session. Configure core-site.xml. Install a PySpark conda environment.

Develop your PySpark application. Create a Data Flow application with the Accelerated Data

Science (ADS) SDK.

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Questions 10

You have received machine learning model training code, without clear information about the

optimal shape to run the training. How would you proceed to identify the optimal compute shape

for your model training that provides a balanced cost and processing time?

Options:

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 re- run the job. Repeat the process until the shape resources are fully utilized.

Start with the strongest compute shape Job's 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 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.

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Questions 11

You are a data scientist working for a utilities company. You have developed an algorithm 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 could you use to save the

model artifact into the model catalog?

Options:

Git CLI

Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)

Accelerated Data Science (ADS) Software Development Kit (SDK)

ODSC CLI

Console

OCI Python SDK

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Questions 12

For your next data science project, you need access to public geospatial images.

Which Oracle Cloud service provides free access to those images?

Options:

Oracle Open Data

Oracle Big Data Service

Oracle Cloud Infrastructure Data Science

Oracle Analytics Cloud

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Questions 13

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.?

Options:

Object Detection

Named Entity Extraction

Classification (single/multi label)

Key-Point and Landmark

Polygonal Segmentation

Semantic Segmentation

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Questions 14

You are a data scientist designing an air traffic control model, and you choose to leverage Oracle

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?

Options:

Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning

Want any exam dump in pdf email me at info.tipsandtricks10@gmail.com (Little Paid)

Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning

Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning

Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning

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Questions 15

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?

Options:

Environment Explorer

Table of Contents

Command Palette

Notebook Examples

Terminal

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Questions 16

Which TWO statements are true about published conda environments?

Options:

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.

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Questions 17

Where do calls to stdout and stderr from score.py go in a model deployment?

Options:

The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.

The OCI Cloud Shell, which can be accessed from the console.

The file that was defined for them on the Virtual stachine (VM).

The OCI console.

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Questions 18

You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect

anomalies in pump sensor data. How does the required False Alarm Probability setting affect an

anomaly detection model?

Options:

It is used to disable the reporting of false alarms.

It changes the sensitivity of the model to detecting anomalies.

It determines how many false alarms occur before an error message is generated.

It adds a score to each signal indicating the probability that its a false alarm.

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Questions 19

Select two reasons why it is important to rotate encryption keys when using Oracle Cloud

Infrastructure (OCI) Vault to store credentials or other secrets.

Options:

Key rotation allows you to encrypt no more than five keys at a time.

Key rotation improves encryption efficiency.

Periodically rotating keys make it easier to reuse keys.

Key rotation reduces risk if a key is ever compromised.

Periodically rotating keys limits the amount of data encrypted by one key version.

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Questions 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?

Options:

OneHotEncoder ()

DataFrameLabelEncoder ()

show_in_notebook ()

auto_transform()

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Questions 21

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?

Options:

odac conda publish --slug

odsc conda list --override

odsc conda init --bucket_namespace --bucket_name

odsc conda create --file manifest.yaml

conda activate /home/datascience/conda/

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Questions 22

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?

Options:

Show_in_notebook{}

To_xgb{}

Compute{}

Show_corr{}

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Questions 23

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?

Options:

visualize_transforms ()

auto_transform()

sample ()

suggest_recommendations()

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Questions 24

You are a data scientist trying to load data into your notebook session. You understand that

Accelerated Data Science (ADS) SDK supports loading various data formats.

Which of the following THREE are ADS supported data formats?

Options:

DOCX

Pandas DataFrame

JSON

Raw Images

XML

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Exam Code: 1z0-1110-23

Exam Name: Oracle Cloud Infrastructure Data Science 2023 Professional

Last Update: Nov 21, 2024

Questions: 80

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