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Oracle 1Z0-1041-21 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Visualization and Analysis | 20% | - Sharing and collaboration - Storytelling and presentation - Building visualizations and dashboards - Interactive analysis and filtering |
| Topic 2: Data Modeling and Semantic Layer | 25% | - Creating and managing semantic models - Calculations and aggregations - Hierarchies, measures and attributes - Dimensional modeling concepts |
| Topic 3: Advanced Analytics and Machine Learning | 5% | - Predictive analytics - Machine learning model creation and deployment - Advanced statistical functions |
| Topic 4: Oracle Analytics Cloud Overview and Administration | 25% | - Monitoring and maintenance - Architecture and components - Provisioning and lifecycle management - Security and access control |
| Topic 5: Data Preparation and Integration | 25% | - Data quality and validation - Data sources connection - Data transformation and enrichment - Data synchronization and refresh |
Oracle Cloud Platform Enterprise Analytics 2021 Specialist Sample Questions:
1. You've created a visualization of revenue data over time. The revenue data over time exhibits some curvature in the line visualization.
What trending algorithm should you use to refine the trendline?
A) Set theconfidence interval to 95%.
B) Use the polynomial option.
C) Use the exponential option.
D) Use the linear option.
2. Which statement is false with respect to Dashboard Prompts?
A) Prompt values can be limited based on requirements.
B) Prompts can be developed using multiple columns from different subject areas.
C) Repositoryvariables and session variables can be used in prompt default values.
D) Images can be used in the prompts.
3. What shouldyou use to make sure that the model you created is correct?
A) DB Sync Icon
B) Data Checker icon
C) Correct icon
D) Validate Icon
4. Which step is required to create a new curated Data Set comprised of columns from several existing Data Sets?
A) Aggregate
B) Merge Columns
C) Add Data
D) Filter
5. You've created a machine learning model and investigated how accurate it is. How should you use it in Oracle Analytics Cloud?
A) Embed the model into a data flow sequence.
B) Create a data flow with a cumulative value prediction.
C) Create a custom calculation based on a related formula.
D) Use a data flow with a Commit Model step and save as a new data set.
E) Use a data flow with an Apply Model step and save as a new data set.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: E |
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