OCI 2025 Data Science Professional Free Sample Questions

12 free sample questions180 in the full practice test

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1Z0-1110-25 Sample Questions

  1. Question 1

    Intermediate

    Workspace and Networking · Configure Networking for Data Science

    You are architecting a secure OCI Data Science environment for a financial institution. The compliance team requires that all notebook sessions must be deployed in a private subnet and must not have direct internet access. However, data scientists need to access public PyPI repositories to install specific libraries. Which networking configuration provides the most secure and compliant solution?

    Answer and explanation

    Correct answer: B

    While a Service Gateway handles OCI internal traffic (like Object Storage), access to external repositories like PyPI requires a NAT Gateway. To meet strict compliance, combining the NAT Gateway with Network Security Groups (NSGs) to whitelist specific outbound traffic is the optimal secure approach, as opposed to a completely open NAT or trying to mirror the entire PyPI repo which is operationally complex.

  2. Question 2

    Beginner

    Accelerated Data Science (ADS) SDK · Data Preparation

    A data scientist is using the Oracle Accelerated Data Science (ADS) SDK to prepare a dataset for training. The dataset contains several columns with sensitive PII that need to be redacted before model training. Which ADS feature should be used to automatically identify and treat these sensitive columns?

    Answer and explanation

    Correct answer: A

    The ADS SDK includes built-in data profiling capabilities that can detect PII (Personally Identifiable Information) when loading datasets using the ads.dataset.factory. It provides recommendations and transformations to mask or drop these columns.

  3. Question 3

    Intermediate

    Environment Management · Conda Environments

    You are managing a custom Conda environment for your team. You have installed several proprietary libraries and verified the environment locally. You now need to share this environment with your team members so they can use it in their own Notebook Sessions. What is the correct sequence of steps to achieve this?

    Answer and explanation

    Correct answer: C

    The odsc CLI tool is specifically designed for OCI Data Science environment management. Publishing packs the environment and uploads it to a designated Object Storage bucket. Other users can then install this exact environment pack using odsc conda install.

  4. Question 4

    BeginnerMultiple answers

    Accelerated Data Science (ADS) SDK · Data Ingestion

    Which TWO of the following are valid data sources that can be directly ingested using the ads.dataset.factory.DatasetFactory.open() method in the OCI Data Science ADS SDK? (Select TWO)

    Answer and explanation

    Correct answers: B, C

    ADS is natively integrated with OCI Object Storage and can ingest data using the oci:// URI scheme.

    The ADS SDK supports opening datasets from local file systems directly.

  5. Question 5

    Beginner

    Model Deployment · Deployment Configuration

    You have trained a machine learning model and saved it to the Model Catalog. You now want to deploy this model as an HTTP endpoint. Which OCI Data Science resource must be configured to expose this model for real-time inference?

    Answer and explanation

    Correct answer: B

    OCI Data Science Model Deployment is the specific resource designed to deploy models from the catalog as scalable HTTP endpoints.

  6. Question 6

    Intermediate

    Data Science Pipelines · Pipeline Architecture

    True or False: In OCI Data Science Pipelines, steps can share data between them by writing to a shared persistent volume that is automatically mounted to all steps in the pipeline.

    Answer and explanation

    Correct answer: B

    This is False. OCI Data Science Pipeline steps run as independent resources. While they can pass small metadata (arguments), they do not share a mounted persistent volume by default. Data sharing for large artifacts is typically achieved by writing to OCI Object Storage in one step and reading from it in the subsequent step.

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