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  5. Oracle Cloud Infrastructure Data Science 2023 Professional Questions and Answers

1z0-1110-23 Sample Questions Answers

Questions 4

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?

Options:

A.

OCI Translation

B.

OCI Language

C.

OCI Speech

D.

OCI Anomaly Detection

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Questions 5

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.

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Questions 6

You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image data. Which of the following THREE are possible ways to annotate an image in Data Labeling?

Options:

A.

Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.

B.

Adding a single label to an image.

C.

Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling

D.

Adding labels to an image using object detection, by drawing bounding boxes to an im-age.

E.

Adding multiple labels to an image.

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Questions 7

You want to write a Python script to create a collection of different projects for your data science

team. Which Oracle Cloud Infrastructure (OCI) Data Science interface would you use?

Options:

A.

The OCI Software Development Kit (SDK)

B.

OCI Console

C.

Command line interface (CLI)

D.

Mobile App

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Questions 8

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.

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Questions 9

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?

Options:

A.

On job creation, enable logging and select a log group. Then, select either a log or the option

to enable automatic log creation.

B.

Make sure that your code is using the standard logging library and then store all the logs to

Object Storage at the end of the job.

C.

Create your own log group and use a third-party logging service to capture job run details for

log collection and storing.

D.

You can implement custom logging in your code by using the Data Science Jobs logging

service.

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Questions 10

You want to write a program that performs document analysis tasks such as extracting text and

tables from a document. Which Oracle AI service would you use?

Options:

A.

OCI Language

B.

Oracle Digital Assistant

C.

OCI Speech

D.

OCI Vision

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Questions 11

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:

A.

Environment Explorer

B.

Table of Contents

C.

Command Palette

D.

Notebook Examples

E.

Terminal

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Questions 12

You are a data scientist building a pipeline in the Oracle Cloud Infrastructure (OCI) Data Science

service for your machine learning project. You want to optimize the pipeline completion time by

running some steps in parallel. Which statement is true about running pipeline steps in parallel?

Options:

A.

Steps in a pipeline can be run only sequentially.

B.

Pipeline steps can be run in sequence or in parallel, as long as they create a directed acyclic

graph (DAG).

C.

All pipeline steps are always run in parallel.

D.

Parallel steps cannot be run if they are completely independent of each other.

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Questions 13

You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail?

Options:

A.

Update the deployment to use fewer instances.

B.

Delete the deployment.

C.

Reduce the load balancer bandwidth limit so that fewer requests come in.

D.

Update the deployment to use a larger virtual machine (mare CPUs/memory).

E.

Update the deployment to add more instances.

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Questions 14

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.

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Questions 15

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:

A.

DataFramLabelEncode()

B.

auto_transform()

C.

OneHotEncoder()

D.

show_in_notebook()

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Questions 16

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.

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Questions 17

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

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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:

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.

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Questions 19

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:

A.

OneHotEncoder ()

B.

DataFrameLabelEncoder ()

C.

show_in_notebook ()

D.

auto_transform()

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Questions 20

You have just completed analyzing a set of images by using Oracle Cloud Infrastructure (OCI) Data

Labelling, and you want to export the annotated data. Which two formats are supported?

Options:

A.

CONLL V2003

B.

COCO

C.

Data Labelling Service Proprietary JSON

D.

Spacy

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Questions 21

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.

Data access

B.

Feature engineering

C.

Model type selection

D.

Model validation

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Questions 22

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:

A.

sample()

B.

suggeste_recoomendations()

C.

auto_transform()

D.

visualize_transforms()

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Questions 23

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:

A.

Git CLI

B.

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

C.

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

D.

ODSC CLI

E.

Console

F.

OCI Python SDK

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Questions 24

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.

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Exam Code: 1z0-1110-23
Exam Name: Oracle Cloud Infrastructure Data Science 2023 Professional
Last Update: Nov 16, 2024
Questions: 80
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