Oracle Cloud Infrastructure Data Science Professional : 1Z0-1110-26

1Z0-1110-26 real exams

Exam Code: 1Z0-1110-26

Exam Name: Oracle Cloud Infrastructure Data Science Professional

Updated: Aug 13, 2026

Q & A: 160 Questions and Answers

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Oracle 1Z0-1110-26 Exam Syllabus Topics:

SectionWeightObjectives
Implement End-to-End Machine Learning Lifecycle45%- Data preparation, exploration, and transformation
- Use AutoML and built-in algorithms
- Model saving, cataloging, and versioning
- Deploy models and manage endpoints
- Model development, training, and evaluation
Design and Set Up Data Science Workspace15%- Manage access control, security, and IAM integration
- Create and manage projects and notebook sessions
- Configure compute shapes, storage, and networking
Apply MLOps Practices20%- Governance, auditing, and compliance
- ML pipelines, automation, and reproducibility
- Model monitoring, drift detection, and performance tracking
OCI Data Science - Introduction & Configuration10%- Overview and core concepts of OCI Data Science
- Capabilities of the Accelerated Data Science (ADS) SDK
- Tenancy and environment configuration for Data Science
Integrate Related OCI Services10%- Use OCI AI and data services with Data Science
- Integration with OCI Object Storage, Vault, and Networking

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. You have just received a new dataset from a colleague. You want to quickly find out summary information about the dataset, such as the types of features, the total number of observations, and distributions of the dat a. Which Accelerated Data Science (ADS) SDK method from the ADSDataset class would you use?

A) to_xgb()
B) show_corr()
C) compute()
D) show_in_notebook()


2. Which statement accurately describes an aspect of machine learning models?

A) A high-quality model will not need to be retrained as new information is received.
B) Data models are more static and generally require fewer updates than software code.
C) Static predictions become increasingly accurate over time.
D) Model performance degrades over time due to changes in data.


3. How can you collaborate with team members in OCI Data Science Workspace?

A) By granting access to specific notebooks and files
B) By using version control systems integrated with the workspace
C) By enabling chat and video conferencing within the workspace
D) By sharing the workspace instance with other users


4. Which THREE types of data are used for Data Labeling?

A) Images
B) Audio
C) Text Document
D) Graphs


5. You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?

A) Adding labels to an image by drawing a bounding box to an image is not supported by Data Labeling
B) Adding labels to an image using semantic segmentation, by drawing multiple bounding boxes to an image
C) Adding multiple labels to an image
D) Adding a single label to an image
E) Adding labels to an image using object detection, by drawing bounding boxes to an image


Solutions:

Question # 1
Answer: D
Question # 2
Answer: D
Question # 3
Answer: B
Question # 4
Answer: A,C
Question # 5
Answer: C,D,E

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