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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Use Related OCI Services | - Apply OCI services for data ingestion, storage, and processing - Integrate OCI Data and AI services - Design machine learning solutions for business use cases |
| Topic 2: OCI Data Science - Introduction and Configuration | - Understand OCI Data Science service concepts and architecture - Use OCI Data Science notebooks and sessions - Configure and manage Data Science resources |
| Topic 3: Design and Set Up Data Science Workspace | - Use Accelerated Data Science SDK and open source tools - Manage notebook sessions and compute resources - Create and configure Data Science projects |
| Topic 4: Apply MLOps Practices | - Use best practices for operationalizing ML solutions - Implement model lifecycle management - Monitor and maintain machine learning models |
| Topic 5: Implement End-to-End Machine Learning Lifecycle | - Prepare and manage datasets - Deploy models and consume model endpoints - Automate machine learning workflows and pipelines - Build, train, and evaluate machine learning models - Save and manage models using Model Catalog |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
You have an embarrassingly parallel or distributed batch job on a large amount of data that you consider running using Data Science Jobs. What would be the best approach to run the workload?
- A. Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required
- B. Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload
- C. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel workloads
- D. Create a new job for every job run that you have to run in parallel, because the Data Science Jobs service can have only one job run per job
Correct Answer: B 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which TWO of the following prevailing metrics would you use for evaluating a multiclass classification model?
- A. Explained variance score
- B. Mean squared error
- C. F1-score
- D. R-squared
- E. Recall
Correct Answer: C,E 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
Which of these protects customer data at rest and in transit in a way that allows customers to meet their security and compliance requirements for cryptographic algorithms and key management?
- A. Identity Federation
- B. Data encryption
- C. Customer isolation
- D. Security controls
Correct Answer: B 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
Which stage in the machine learning life cycle helps in identifying the imbalance present in the data?
- A. Data Monitoring
- B. Data Exploration
- C. Data Access
- D. Data Modeling
Correct Answer: B 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
Which Security Zone policy is NOT valid?
- A. Resources in a security zone should not be accessible from the public internet
- B. A boot volume can be moved from a security zone to a standard compartment
- C. A compute instance cannot be moved from a security zone to a standard compartment
- D. Resources in a security zone must be automatically backed up regularly
Correct Answer: B 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
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