1Z0-1110-25 Sample Questions & Answers
Free OCI 2025 Data Science Professional practice questions with worked answers and explanations. See how the ExamJungle simulator prepares you — then jump into the full test.
Launch the full 1Z0-1110-25 simulator →Showing 6 of 12 free samples.
- Question 1BeginnerSelect 2
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)Show answer & 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.
- Question 2Beginner
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?
Show answer & explanation
Correct answer: B
OCI Data Science Model Deployment is the specific resource designed to deploy models from the catalog as scalable HTTP endpoints.
- Question 3Intermediate
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.
Show answer & 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.
- Question 4Advanced
Compute and Scaling · GPU Shapes
You are creating a Data Science Job to train a large deep learning model. The training process requires high-throughput communication between GPU nodes. Which OCI Compute Shape series should you select to ensure support for Cluster Networking and RDMA?
Show answer & explanation
Correct answer: A
Bare Metal GPU shapes (like BM.GPU4.8) in OCI support Cluster Networking with RDMA (Remote Direct Memory Access), which is essential for multi-node distributed training where low latency between nodes is critical.
- Question 5Advanced
Model Management · Model Artifacts
When using
ads.model.GenericModelto save a model to the catalog, you notice that thescore.pyfile generated does not correctly handle your specific pre-processing logic. What is the recommended best practice to fix this?Show answer & explanation
Correct answer: B
The ADS SDK generates a template artifact. The standard procedure for custom logic is to prepare the artifact (using
.prepare()), which creates the files locally, then manually editscore.pyto include necessary pre/post-processing logic, and finally save/upload the artifact. - Question 6Intermediate
Model Management · Model Introspection
You are implementing a CI/CD pipeline for machine learning. You need to verify that a model artifact is functional before deploying it to production. Which OCI Data Science feature allows you to run a mock deployment test on the artifact?
Show answer & explanation
Correct answer: A
Model Introspection in OCI Data Science allows you to run a series of tests on the model artifact (such as checking
score.pysyntax and dependency loading) to ensure it is valid and deployable before creating an actual Model Deployment.
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