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1Z0-1110-25 Oracle Cloud Infrastructure 2025 Data Science Professional Exam

  • Oracle
  • 5 free sample questions

About this exam

1Z0-1110-25 is the Oracle exam Oracle Cloud Infrastructure 2025 Data Science Professional Exam. Paid practice material for this exam is not available yet, but you can try its free sample questions.

Exam code
1Z0-1110-25
Vendor
Oracle
Practice questions
Not available yet
Free sample questions
5
Question bank last updated
Not available yet

Try 2 sample questions

Taken from the free sample set for 1Z0-1110-25.

Question 1

What is the primary difference between a data scientist and a data engineer?

  1. Option A:

    A data engineer collects and prepares data, and a data scientist then analyzes it.

  2. Option B:

    A data engineer analyzes data after a data scientist collects and prepares it.

  3. Option C:

    A data engineer builds data pipelines and helps prepare data, while a data scientist is responsible for data collection, preparation, and analysis.

  4. Option D:
    A data engineer creates data flows to be used as templates by the data analyst.
Show answer and explanation

Correct answer: A

Detailed Answer in Step-by-Step Solution:

    Objective: Differentiate data scientist vs. data engineer roles.

    Define Roles:

      Data Engineer: Builds pipelines, prepares data.

      Data Scientist: Analyzes data, builds models.

    Evaluate Options:

      A: Engineer preps, scientist analyzes—Correct division.

      B: Reverses roles—Incorrect.

      C: Overlaps roles—Scientist doesn’t typically build pipelines.

      D: Misaligns—Analyst isn’t the focus.

    Reasoning: A reflects standard role separation.

    Conclusion: A is correct.

OCI documentation notes: “Data engineers focus on collecting and preparing data through pipelines, while data scientists analyze it to derive insights and build models.” A aligns, B inverts, C overcomplicates, and D shifts focus—only A is accurate.

Oracle Cloud Infrastructure Data Science Documentation, " Roles in Data Science " .

Question 2

Which Oracle Data Safe feature minimizes the amount of personal data and allows internal test, development, and analytics teams to operate with reduced risk?

  1. Option A:

    Data encryption

  2. Option B:

    Security assessment

  3. Option C:

    Data masking

  4. Option D:

    Data discovery

  5. Option E:

    Data auditing

Show answer and explanation

Correct answer: C

Detailed Answer in Step-by-Step Solution:

    Objective: Identify the Data Safe feature that reduces personal data exposure.

    Understand Data Safe: Secures sensitive data in OCI databases.

    Evaluate Options:

      A: Encryption—Protects data, doesn’t minimize it.

      B: Assessment—Identifies risks, doesn’t alter data.

      C: Masking—Obfuscates personal data (e.g., SSNs)—correct.

      D: Discovery—Locates sensitive data, doesn’t reduce it.

      E: Auditing—Tracks access, doesn’t minimize data.

    Reasoning: Masking replaces sensitive data, reducing risk for teams—fits goal.

    Conclusion: C is correct.

OCI documentation states: “Data masking (C) in Data Safe transforms sensitive data into anonymized versions, minimizing exposure for test, dev, and analytics use.” A protects, B assesses, D finds, E audits—only C reduces data per OCI’s Data Safe features.

Oracle Cloud Infrastructure Data Safe Documentation, " Data Masking Overview " .

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