Oracle Cloud Infrastructure 2025 Data Science Professional 1z0-1110-25 Question # 18 Topic 2 Discussion
1z0-1110-25 Exam Topic 2 Question 18 Discussion:
Question #: 18
Topic #: 2
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?
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".
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