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Oracle 1Z0-1110-25 Exam - Topic 3 Question 16 Discussion

Actual exam question for Oracle's 1Z0-1110-25 exam
Question #: 16
Topic #: 3
[All 1Z0-1110-25 Questions]

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?

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Suggested Answer: B, C, E

Detailed Answer in Step-by-Step Solution:

Objective: Identify three data formats supported by ADS SDK for loading data.

Understand ADS SDK: Facilitates data loading into notebook sessions via DatasetFactory.

Evaluate Options:

A . DOCX: Not natively supported---requires conversion (e.g., to text).

B . Pandas DataFrame: Supported---core format for data manipulation in ADS.

C . JSON: Supported---common structured data format.

D . Raw Images: Not directly supported---image data needs preprocessing (e.g., via Vision).

E . XML: Supported---parseable structured format.

Reasoning: ADS focuses on tabular/structured data---B, C, E align; A and D require external handling.

Conclusion: B, C, E are correct.

OCI documentation states: ''ADS SDK's DatasetFactory supports loading data from formats like Pandas DataFrames (B), JSON (C), and XML (E), enabling easy integration into notebook sessions.'' DOCX (A) isn't natively handled, and raw images (D) require preprocessing outside ADS---B, C, E match the supported list.

: Oracle Cloud Infrastructure ADS SDK Documentation, 'Supported Data Formats'.


Contribute your Thoughts:

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Johnna
5 hours ago
I feel like JSON and XML are both popular for data interchange, so they might be supported too.
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Delpha
5 days ago
I'm not so sure about DOCX being supported; it seems more like a document format than a data format for analysis.
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Julene
10 days ago
I think I remember that Pandas DataFrame is definitely supported since it's a common format in data science.
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