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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Implement End-to-End Machine Learning Lifecycle | - Prepare and manage datasets - Automate machine learning workflows and pipelines - Save and manage models using Model Catalog - Deploy models and consume model endpoints - Build, train, and evaluate machine learning models |
| Use Related OCI Services | - Design machine learning solutions for business use cases - Apply OCI services for data ingestion, storage, and processing - Integrate OCI Data and AI services |
| Apply MLOps Practices | - Use best practices for operationalizing ML solutions - Implement model lifecycle management - Monitor and maintain machine learning models |
| Design and Set Up Data Science Workspace | - Use Accelerated Data Science SDK and open source tools - Create and configure Data Science projects - Manage notebook sessions and compute resources |
| OCI Data Science - Introduction and Configuration | - Configure and manage Data Science resources - Use OCI Data Science notebooks and sessions - Understand OCI Data Science service concepts and architecture |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
Question 1
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. Data encryption
B. Customer isolation
C. Identity Federation
D. Security controls
Question 2
You have an embarrassingly parallel or distributed batch job with a large amount of data 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 a job in Data Science Jobs and then start the number of simultaneous job runs required for your workload
C. Create a new job for every job run that you have to run in parallel, because the Data Science Job service can have only one job per job
D. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel
Question 3
You have been given a collection of digital files required for a business audit. They consist of several different formats that you would like to annotate using Oracle Cloud Infrastructure (OCI) Data Labeling. Which THREE types of files could this tool annotate?
A. Video footage of a conversation in a conference room
B. A collection of purchase orders for office supplies
C. An audio recording of a phone conversation
D. A typewritten document that details an annual budget
E. Images of computer server racks
Question 4
You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect anomalies in pump sensor dat a. What are you trying to determine? How does the required False Alarm Probability setting affect an anomaly detection model?
A. It determines how many false alarms occur before an error message is generated
B. It adds a score to each signal indicating the probability that it’s a false alarm
C. It is used to disable the reporting of false alarms
D. It changes the sensitivity of the model to detecting anomalies
Question 5
You are running a pipeline in the OCI Data Science service and want to override some of the pipeline's default settings. Which of the following statements about overriding pipeline defaults is true?
A. Pipeline defaults can be overridden before starting the pipeline execution.
B. Pipeline defaults can be overridden only during pipeline creation.
C. Pipeline defaults cannot be overridden once the pipeline has been created.
D. Pipeline defaults can be overridden only by the Administrator.
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: A,D,E | Question 4 Answer: D | Question 5 Answer: A |
