Exam Code: 1Z0-1110-26
Exam Name: Oracle Cloud Infrastructure Data Science Professional
Updated: Jul 27, 2026
Q & A: 160 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| MLOps and OCI Integration | 20% | - Automation and pipelines
|
| Machine Learning Fundamentals | 20% | - Unsupervised learning
|
| OCI Data Science Service | 30% | - Model catalog
|
| Model Development and Deployment | 30% | - Model training
|
1. You are a data scientist building a pipeline in the Oracle Cloud Infrastructure (OCI) Data Science service for your machine learning project. You want to optimize the pipeline completion time by running some steps in parallel. Which statement is true about running pipeline steps in parallel?
A) Parallel steps cannot be run if they are completely independent of each other
B) Steps in a pipeline can be run only sequentially
C) Pipeline steps can be run in sequence or in parallel, as long as they create a directed acyclic graph (DAG)
D) All pipeline steps are always run in parallel
2. You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) to create a model and need some additional Python libraries for processing genome sequencing dat a. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?
A) You can install private or custom libraries from your own internal repositories
B) You can only install libraries using yum and pip as a normal user
C) OCI Data Science allows root privileges in notebook sessions
D) You can install any open-source package available in a publicly accessible Python Package Index (PyPI) repository
E) You cannot install a library that’s not preinstalled in the provided image
3. You have just completed analyzing a set of images by using Oracle Cloud Infrastructure (OCI) Data Labeling, and you want to export the annotated dat a. Which TWO formats are supported?
A) Data Labeling Service Proprietary JSON
B) Spacy
C) COCO
D) CONLL V2003
4. What is the correct definition of Git?
A) Git is a centralized version control system that allows data scientists and developers to track copious amounts of data.
B) Git is a distributed version control system that allows you to track changes made to a set of files.
C) Git is a centralized version control system that allows you to revert to previous versions of files as needed.
D) Git is a distributed version control system that protects teams from simultaneous repo contributions and merge requests.
5. You are working as a Data Scientist for a healthcare company. You have a series of neurophysiological data on OCI Data Science and have developed a convolutional neural network (CNN) classification model. It predicts the source of seizures in drug-resistant epileptic patients. You created a model artifact with all the necessary files. When you deployed the model, it failed to run because you did not point to the correct conda environment in the model artifact. Where would you provide instructions to use the correct conda environment?
A) requirements.txt
B) runtime.yaml
C) model_artifact_validate.py
D) score.py
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A,D,E | Question # 3 Answer: A,C | Question # 4 Answer: B | Question # 5 Answer: B |
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