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

Oracle 1Z0-1110-26 Actual PDF
  • Exam Code: 1Z0-1110-26
  • Exam Name: Oracle Cloud Infrastructure Data Science Professional
  • Updated: Oct 28, 2026
  • Q & A: 160 Questions and Answers
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About Oracle 1Z0-1110-26 Exam

Oracle Cloud Infrastructure Data Science Professional pdf test dumps accelerate your study efficiency

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Oracle 1Z0-1110-26 Exam Syllabus Topics:

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

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

Question #1

You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a timestamp. What part of the Data Science lifecycle would you be in when creating the new variable?

  • A. Model type selection
  • B. Model validation
  • C. Feature engineering
  • D. Data access
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which of the following TWO prevailing metrics would you use for evaluating a multiclass classification model?

  • A. Explained variance score
  • B. F1 Score
  • C. Mean squared error
  • D. Recall
  • E. R-Squared
Reveal Solution  Discussion  0

Correct Answer: B,D  🗳️

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Question #3

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. runtime.yaml
  • B. score.py
  • C. requirements.txt
  • D. model_artifact_validate.py
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

Which step is unique to MLOps, as opposed to DevOps?

  • A. Continuous integration
  • B. Continuous delivery
  • C. Continuous training
  • D. Continuous deployment
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #5

Which THREE types of data are used for Data Labeling?

  • A. Text Document
  • B. Graphs
  • C. Images
  • D. Audio
Reveal Solution  Discussion  0

Correct Answer: A,C  🗳️

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