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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| OCI Data Science - Introduction and Configuration | - Use OCI Data Science notebooks and sessions - Configure and manage Data Science resources - Understand OCI Data Science service concepts and architecture |
| Design and Set Up Data Science Workspace | - Manage notebook sessions and compute resources - Use Accelerated Data Science SDK and open source tools - Create and configure Data Science projects |
| Apply MLOps Practices | - Use best practices for operationalizing ML solutions - Monitor and maintain machine learning models - Implement model lifecycle management |
| Use Related OCI Services | - Apply OCI services for data ingestion, storage, and processing - Design machine learning solutions for business use cases - Integrate OCI Data and AI services |
| Implement End-to-End Machine Learning Lifecycle | - Automate machine learning workflows and pipelines - Save and manage models using Model Catalog - Deploy models and consume model endpoints - Prepare and manage datasets - Build, train, and evaluate machine learning models |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect anomalies in pump sensor dat a. How does the required False Alarm Probability setting affect an anomaly detection model?
- A. It is used to disable the reporting of false alarms
- B. It changes the sensitivity of the model to detecting anomalies
- C. It determines how many false alarms occur before an error message is generated
- D. It adds a score to each signal indicating the probability that it’s a false alarm
Correct Answer: B 🗳️
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As a data scientist, you require a pipeline to train ML models. When can a pipeline run be initiated?
- A. Pipeline can be initiated after the active state.
- B. Pipeline can be initiated during the pipeline run state.
- C. Pipeline can be initiated before the active state.
- D. Pipeline can be initiated once it is created.
Correct Answer: D 🗳️
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A bike sharing platform has collected user commute data for the past 3 years. For increasing profitability and making useful inferences, a machine learning model needs to be built from the accumulated data. Which of the following options has the correct order of the required machine learning tasks for building a model?
- A. Data Access, Feature Exploration, Feature Engineering, Data Exploration, Modeling
- B. Data Access, Feature Exploration, Data Exploration, Feature Engineering, Modeling
- C. Data Access, Data Exploration, Feature Engineering, Feature Exploration, Modeling
- D. Data Access, Data Exploration, Feature Exploration, Feature Engineering, Modeling
Correct Answer: C 🗳️
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Which two statements are true about published conda environments?
- A. Your notebook session acts as the source to share published conda environments with team members
- B. The odsc conda init command is used to configure the location of published conda environments
- C. You can only create a published conda environment by modifying a Data Science conda environment
- D. They are curated by Oracle Cloud Infrastructure (OCI) Data Science
- E. In addition to service job run environment variables, conda environment variables can be used inData Science Jobs
Correct Answer: B,E 🗳️
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You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations() tool to the ADSDataset object, it showed you user-detected issues with all the recommended changes to apply to the dataset. Which option should you use to apply all the recommended transformations at once?
- A. fit_transform()
- B. visualize_transforms()
- C. get_transformed_dataset()
- D. auto_transform()
Correct Answer: D 🗳️
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