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1Z0-1110-25 OCI 2025 Data Science Professional Practice Questions

Prepare for 1Z0-1110-25 with more than an answer.

180 questions in the full set12 sample questionsUpdated Mar 12, 2026
  1. 1

    Case Study:

    A retail company is migrating its on-premises demand forecasting system to OCI. The system consists of:

    1. Daily data ingestion from Oracle Database.
    2. A retraining process that runs every Sunday.
    3. A batch inference process that runs every night.

    They require a solution that orchestrates these steps, manages dependencies, and provides failure alerts. The team wants to use Python for defining the workflow.

    Which OCI Data Science architecture best fits these requirements?

    Show answer details

    Correct answer: A

    OCI Data Science Pipelines is the native orchestration service. It allows defining dependencies between steps (Ingestion -> Training -> Inference) using Python/YAML. It integrates with OCI Events for scheduling and alerting, meeting all requirements.

  2. 2

    You are configuring a Model Deployment. You expect the traffic to be variable, with spikes during business hours. You want to ensure the deployment scales automatically based on load. Which metric is primarily used by the OCI Model Deployment auto-scaling policy?

    Show answer details

    Correct answer: D

    OCI Model Deployment auto-scaling policies are defined based on the throughput (number of requests) the load balancer receives. You define thresholds for scaling out (adding instances) or scaling in.

  3. 3

    Which OCI IAM policy statement allows a Data Science user group DS-Users to manage their own model artifacts in the Model Catalog within a specific compartment Project-A?

    Show answer details

    Correct answer: D

    The resource type for models in the catalog is data-science-models. The verb manage provides full permissions (create, delete, update).

  4. 4

    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?

    Show answer details

    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.

  5. 5

    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?

    Show answer details

    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.

  6. 6

    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?

    Show answer details

    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.

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