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Oracle Cloud Infrastructure Data Science 2023 Professional Question and Answers

Oracle Cloud Infrastructure Data Science 2023 Professional

Last Update Apr 26, 2024
Total Questions : 80

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Questions 1

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:

A.  

It is used to disable the reporting of false alarms.

B.  

It changes the sensitivity of the model to detecting anomalies.

C.  

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

D.  

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

Discussion 0
Questions 2

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 hyperparameter

tuning is completed?

Options:

A.  

The current best-known hyperparameter configuration is returned.

B.  

A random hyperparameter configuration is returned.

C.  

A hyperparameter configuration with a minimum learning rate is returned.

D.  

The last generated hyperparameter configuration is returned

Discussion 0
Questions 3

Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to data sets from

reference libraries and index websites such as scikit-learn?

Options:

A.  

DataLabeling

B.  

DatasetBrowser

C.  

SecretKeeper

D.  

ADSTuner

Discussion 0
Questions 4

Which TWO statements are true about published conda environments?

Options:

A.  

The odsc conda init command is used to configure the location of published conda en-vironments.

B.  

They can be used in Data Science Jobs and model deployments.

C.  

Your notebook session acts as the source to share published conda environment with team members.

D.  

You can only create published conda environment by modifying a Data Science conde

E.  

They are curated by Oracle Cloud Infrastructure (OCI) Data Science.

Discussion 0
Questions 5

As a data scientist, you create models for cancer prediction based on mammographic images.

The correct identification is very crucial in this case. After evaluating two models, you arrive at the

following confusion matrix.

Model 1 has Test accuracy is 80% and recall is 70%.

• Model 2 has Test accuracy is 75% and recall is 85%.

Which model would you prefer and why?

Options:

A.  

Model 2, because recall is high.

B.  

Model 1, because the test accuracy is high.

C.  

Model 2, because recall has more impact on predictions in this use se.

D.  

Model 1, because recall has lesser impact on predictions in this use case

Discussion 0
Questions 6

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 conda environment. After running this

command, you get a network timeout error.

What might be missing from your networking configuration?

Options:

A.  

FastConnect to an on-premises network.

B.  

Primary Virtual Network Interface Card (VNIC).

C.  

NAT Gateway with public internet access.

D.  

Service Gateway with private subnet access

Discussion 0
Questions 7

In the Oracle Cloud Infrastructure (OCI) Data Science service, how does Model Catalog help with

model deployment and management in MLOps?

Options:

A.  

It is a database that stores all the features used in a machine learning model.

B.  

It helps to automate the feature engineering process.

C.  

It provides a centralized and scalable way to manage models and their metadata.

D.  

It helps to package the model and its dependencies into a lightweight, portable container.

Discussion 0
Questions 8

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

parameters with Oracle Data Science Jobs?

Options:

A.  

Create a new job every time you need to run your code and pass the parameters as

environment variables.

B.  

Create a new job by setting the required parameters in your code and create a new job for

every code change.

C.  

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.

D.  

Create your code to expect different parameters as command line arguments and create a

new job every time you run the code.

Discussion 0
Questions 9

You want to make your model more parsimonious to reduce the cost of collecting and processing data. 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?

Options:

A.  

Corr{}

B.  

Correlation_ratio_plot{}

C.  

Pearson_plot{}

D.  

Cramersv_plot{}

Discussion 0
Questions 10

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

Options:

A.  

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

B.  

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

C.  

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

D.  

The OCI console.

Discussion 0
Questions 11

3. 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 file?

Options:

A.  

Configure the deployment infrastructure.

B.  

Execute the inference logic code.

C.  

Define the compute scaling strategy.

D.  

Define the inference server dependencies

Discussion 0
Questions 12

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

notebook session?

Options:

A.  

Create and upload score.py and runtime.yaml.

B.  

Create and upload the APIsigning key and config file.

C.  

Import the REST API.

D.  

Call the ADS command to enable AI integration

Discussion 0
Questions 13

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 an exploratory data analysis.

From which two places can you access or install the ADS SDK?

Options:

A.  

Oracle Autonomous Data Warehouse

B.  

Oracle Machine Learning (OML)

C.  

Oracle Big Data Service

D.  

Conda environments in Oracle Cloud Infrastructure (OCI) Data Science

E.  

Python Package Index (PyPI

Discussion 0
Questions 14

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:

A.  

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

B.  

Key rotation improves encryption efficiency.

C.  

Periodically rotating keys make it easier to reuse keys.

D.  

Key rotation reduces risk if a key is ever compromised.

E.  

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

Discussion 0
Questions 15

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 efficient way to

do this with Data Science Jobs?

Options:

A.  

Create a new job with increased storage size and then run the job.

B.  

On the job run, set the environment variable that helps increase the size-of the storage.

C.  

Your code is using too much disk space. Refactor the code to identify the problem.

D.  

Edit the job, change the size of the storage of your job, and start a new job run.

Discussion 0
Questions 16

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:

A.  

Model type selection

B.  

Model validation

C.  

Data access

D.  

Feature engineering

Discussion 0
Questions 17

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:

A.  

Object Detection

B.  

Named Entity Extraction

C.  

Classification (single/multi label)

D.  

Key-Point and Landmark

E.  

Polygonal Segmentation

F.  

Semantic Segmentation

Discussion 0
Questions 18

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?

Options:

A.  

Create a pre-authenticated request (PAR) for the Object Storage bucket, and use that in the

job code.

B.  

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.

C.  

Store your personal OCI config file and keys in the Vault and access the Vault through the job

run resource principal.

D.  

Package your personal OCI config file and keys in the job artifact

Discussion 0
Questions 19

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?

Options:

A.  

On the job run, set the environment variable that helps increase the size of the storage.

B.  

Your code using too much disk space. Refactor the code to identify the problem.

C.  

Edit the job, change the size of the storage of your job, and start a new job run.

D.  

Create a new job with increased storage size and then run the job.

Discussion 0
Questions 20

You want to use ADSTuner to tune the hyperparameters of a supported model you recently

trained. You have just started your search and want to reduce the computational cost as well as

access the quality of the model class that you are using.

What is the most appropriate search space strategy to choose?

Options:

A.  

Detailed

B.  

ADSTuner doesn't need a search space to tune the hyperparameters.

C.  

Perfunctory

D.  

Pass a dictionary that defines a search space

Discussion 0
Questions 21

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:

A.  

get_transformed_dataset ()

B.  

fit_transform()

C.  

auto_transform()

D.  

visualize_transforms ()

Discussion 0
Questions 22

You have trained a machine learning model on Oracle Cloud Infrastructure (OCI) Data Science,

and you want to save the code and associated pickle file in a Git repository. To do this, you have to

create a new SSH key pair to use for authentication. Which SSH command would you use to create

the public/private algorithm key pair in the notebook session?

Options:

A.  

ssh-agent

B.  

ssh-copy-id

C.  

ssh-add

D.  

ssh-Keygen

Discussion 0
Questions 23

Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?

Options:

A.  

Document classification

B.  

Image classification

C.  

Text recognition

D.  

Key Value extraction

Discussion 0
Questions 24

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:

A.  

Table extraction

B.  

Punctuation correction

C.  

Sentence diagramming

D.  

Topic classification

E.  

Sentiment analysis

Discussion 0