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1z0-1110-25 Practice Questions

Oracle Cloud Infrastructure 2025 Data Science Professional

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Total Questions : 158

Dive into our fully updated and stable 1z0-1110-25 practice test platform, featuring all the latest Oracle Cloud Solutions Infrastructure exam questions added this week. Our preparation tool is more than just a Oracle study aid; it's a strategic advantage.

Our free Oracle Cloud Solutions Infrastructure practice questions crafted to reflect the domains and difficulty of the actual exam. The detailed rationales explain the 'why' behind each answer, reinforcing key concepts about 1z0-1110-25. Use this test to pinpoint which areas you need to focus your study on.

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Question # 1

Which type of file system does File Storage use?

Options:

A.  

NFSv3

B.  

iSCSI

C.  

Paravirtualized

D.  

NVMe SSD

Discussion 0
Question # 2

What is the first step in the data science process?

Options:

A.  

Collecting data and preparing it for analysis

B.  

Experimenting with and tuning different analytical models

C.  

Defining an analytical hypothesis that could provide business value

D.  

Working with data owners

Discussion 0
Question # 3

Which model has an open-source, open model format that allows you to run machine learning models on different platforms?

Options:

A.  

PySpark

B.  

PyTorch

C.  

TensorFlow

D.  

ONNX

Discussion 0
Question # 4

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 network configuration?

Options:

A.  

The NAT Gateway with public internet access

B.  

Service Gateway with private subnet access

C.  

FastConnect to an on-premises network

D.  

Primary Virtual Network Interface Card (VNIC)

Discussion 0
Question # 5

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

Options:

A.  

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

B.  

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

C.  

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

D.  

The OCI console

Discussion 0
Question # 6

As a data scientist, you are working on a global health dataset 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.  

DataFrameLabelEncode()

B.  

auto_transform()

C.  

OneHotEncoder()

D.  

show_in_notebook()

Discussion 0
Question # 7

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?

Options:

A.  

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.

B.  

Start with the strongest 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.

C.  

Start with a small 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 rerun the job. Repeat the process until the processing time does not improve.

D.  

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

Discussion 0
Question # 8

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:

A.  

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

B.  

Start with the strongest 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

C.  

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 rerun the job. Repeat the process until the processing time does not improve

D.  

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

Discussion 0
Question # 9

Which THREE types of data are used for Data Labeling?

Options:

A.  

Audio

B.  

Text Document

C.  

Images

D.  

Graphs

Discussion 0
Question # 10

As a data scientist for a hardware company, you have been asked to predict the revenue demand for the upcoming quarter. You develop a time series forecasting model to analyze the data. Select the correct sequence of steps to predict the revenue demand values for the upcoming quarter.

Options:

A.  

Verify, prepare model, deploy, save, predict

B.  

Predict, deploy, save, verify, prepare model

C.  

Prepare model, deploy, verify, save, predict

D.  

Prepare model, verify, save, deploy, predict

Discussion 0
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