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Last Updated: Oct 27, 2026
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Oracle 1Z1-936 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Advanced Analytics and Essbase | 20% | - Essbase cloud service and cube design - MaxL and CLI operations - Advanced analytics functions - Machine learning scenarios |
| Topic 2: Oracle Analytics Cloud Overview | 15% | - Architecture and components - Editions and deployment models - Use cases and solutions |
| Topic 3: Provisioning and Lifecycle Management | 20% | - Provisioning database, storage, and identity - Service configuration and scaling - Migration from on-premise OBIEE - Prerequisites and compute shapes |
| Topic 4: Data Visualization and Analysis | 25% | - Building visualizations and projects - Filters, variables, and interactions - BI Publisher reporting - Creating analyses and dashboards |
| Topic 5: Data Preparation and Modeling | 20% | - Repository administration and security - Self-service data preparation - Data synchronization and remote connectors - Dimensional modeling: dimensions, facts, hierarchies |
1Z1-936 Exam Details and Our Commitments
At present, the 1Z1-936 exam requires a passing score of 70% and costs $245 USD to register. Oracle controls both figures, so confirm them on the official site before you book.
The latest exam information lists 72 questions for the 1Z1-936 exam, to be completed in 120 minutes minutes. Rehearsing under these conditions in the online engine is the closest thing to sitting the real test.
The Oracle Cloud Platform Enterprise Analytics 2018 Associate blueprint is organized into these principal domains:
- Provisioning and Lifecycle Management (20%)
- Oracle Analytics Cloud Overview (15%)
- Data Preparation and Modeling (20%)
Additional domains follow in the full official outline, and our bank spans them all.
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Oracle specifies the following prerequisites for the Oracle Cloud Platform Enterprise Analytics 2018 Associate: No mandatory prerequisites; basic knowledge of Oracle Cloud and analytics recommended.
Verify the details on the official certification page before registering.
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Oracle Cloud Platform Enterprise Analytics 2018 Associate Sample Questions:
Your customer has an Essbase cube with current year P&L data. Once a month, the cube needs to be updated with the last closed month data.
How can the monthly data be loaded incrementally using Cube Designer?
- A. Use the Update Cube option from the Build Option menu in Cube Designer.
- B. Use the Load Data option in Cube Designer.
- C. Cube Designer cannot be used to load data in the cube.
- D. Use the Transform Data option in Cube Designer.
- E. Cube Designer cannot be used to load data incrementally in the cube.
Correct Answer: A 🗳️
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What does a confusion matrix illustrate?
- A. a table that reports the occurrences of upper positives, lower negatives, mid positives, and true negatives for a machine learning model
- B. a table that reports the occurrences of higher positives, false negatives, lower positives, and true negatives for a machine learning model
- C. a table that reports the occurrences of negative positives, false negatives, true positives, and positive negatives for a machine learning model
- D. a table that reports the occurrences of false positives, false negatives, true positives, and true negatives for a machine learning model
Correct Answer: D 🗳️
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You want to create an Essbase cube using a MaxL script. This is the content of the Max! script:
You saved the script file locally as cubeBuild.mx1, uploaded it to the cloud service, and executed a "MaxL script" job type. The job failed. What is the problem?
- A. It is an invalid job type.
- B. It is an invalid script file. A script file must be saved with a .msh extension.
- C. It is an invalid MaxL statement. "Create or replace database" Is not supported.
- D. MaxL scripts are not supported.
- E. Only one MaxL statement per script is allowed.
Correct Answer: C 🗳️
How should you determine the accuracy of a machine learning model created in Oracle Analytics Cloud?
- A. Run the machine learning model with various filter values applied.
- B. Open the Inspect dialog for a given machine learning model and review the F1 score.
- C. Use the debug option in the data flow where the model was created.
- D. Create a data flow that Includes a histogram.
Correct Answer: D 🗳️
How should you use a machine learning model within a canvas of an Oracle Analytics Cloud project?
- A. Use the machine learning model visualization.
- B. Create a scenario using the required model.
- C. Create a data sequence.
- D. Create a custom calculation.
Correct Answer: B 🗳️
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