Last Updated: Aug 19, 2026
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| Section | Objectives |
|---|---|
| Topic 1: Data Preparation and Modeling | - Dimensional Data Modeling
|
| Topic 2: Advanced Analytics Capabilities | - Predictive and Machine Learning Features
|
| Topic 3: Data Visualization and Reporting | - Visual Analytics
|
| Topic 4: Administration and Usage Tracking | - Administration Tasks
|
| Topic 5: Oracle Analytics Cloud Provisioning and Setup | - Provisioning and Environment Configuration
|
1. A customer wants to build a Block Storage (BSO) cube which has 8 standard dimensions and 2 attribute dimensions.
How many dimension worksheets will the application workbook have?
A) 9 dimension worksheets
B) 12 dimension worksheets
C) 8 dimension worksheets
D) 1 dimension worksheet
E) 10 dimension worksheets
2. In which two ways can you use Oracle Analytics Cloud to determine which values of a given data set may provide the greatest opportunity due to their stand out qualities?
A) Add an outlier visualization to your canvas. This will highlight data points that stand out and may Justify further investigation.
B) Use a combination of Max / Min value reference lines.
C) Modify the color palette to highlight unique values.
D) Create a box plot visualizationof your data set.
3. You have created a visualization of revenue data over time. It displays some seasonality (e.g. high revenue around typical holiday periods) but there is no obvious pattern to the data overall. In which two ways can you start to get insight from this data?
A) Add a filter to remove the oldest data.
B) Create a reference line which displays the average revenue.
C) Create a column trellis over the prominent dimension value.
D) Create a trend line.
4. Your customer is looking to get a better understanding of their data, in particular how Oracle Analytics Cloud can help them gain a competitive advantage.
Which two tasks can help them achieve their goals?
A) Create a data flow to highlight the interesting data.
B) Import the data Into Oracle Analytics Cloud and use the Data Tile functionality in the Prepare section of the product. Use the resulting combination of visualization types to determine relationships and avenues for further exploration.
C) Create a data story by using the narrate functionality to present to their management.
D) Perform analysis on the data by using trend lines, clustering, and outlier detection to offer new perspectives.
5. You've been given a spreadsheet of employee attrition data and have been asked todetermine which are the most important factors that contribute to whether an employee is likely to leave their position. What is the quickest way to start this analysis after uploading the data to Oracle Analytics Cloud?
A) Perform a cluster analysis of employees.
B) Calculate a forecast of the probability of attrition.
C) Use the Explain option on the attrition attribute.
D) Use Outlier identification.
Solutions:
| Question # 1 Answer: E | Question # 2 Answer: B,D | Question # 3 Answer: B,D | Question # 4 Answer: C,D | Question # 5 Answer: C |
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