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| Section | Objectives |
|---|---|
| Topic 1: Oracle Analytics Cloud Overview | - Core concepts of Oracle Analytics Cloud - Architecture and service components |
| Topic 2: Data Preparation and Data Integration | - Data wrangling and transformation - Data connections and sources - Data flows and pipelines |
| Topic 3: Administration and Security | - Service administration - User management and roles - Security configuration |
| Topic 4: Advanced Analytics and Machine Learning | - Machine learning capabilities in Oracle Analytics - Predictive analysis and advanced insights |
| Topic 5: Data Visualization and Reporting | - Creating dashboards and visualizations - Filters, prompts, and interactive analysis |
| Topic 6: Semantic Modeling and Data Modeling | - Metadata management - Subject areas and logical modeling |
1. What are the two commonly used dimensional modeling schemas?
A) Sun
B) Snowflake
C) Star
D) Moon
2. 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) Create a column trellis over the prominent dimension value.
B) Create a trend line.
C) Create a reference line which displays the average revenue.
D) Add a filter to remove the oldest data.
3. You are migrating 11.1.2.4.nnn On-Premises Essbase cubes to the cloud service. Which four steps should you perform?
A) Convert all application-level files and artifacts to database-level files and artifacts before export.
B) Convert all application-level substitution variables to server-level variables before export.
C) Install and execute the Life Cycle Management utility to export the required Essbase source application.
D) Importa .zip file using the Command Line Interface tool.
E) Correct any partition settings in the Life Cycle Management exported .zip file.
F) Convert all applications andassociated artifacts to non-Unicode mode before export.
4. What are two incorrect steps when creating pixel perfect reports with Bl Publisher?
A) Define a data model to set the business view of the data, join data sets, and create custom measures.
B) Create connections to sources, some of which include Oracle l0g/llg, Oracle BI Server, JDBC, and MS SQL Server 2005/2008.
C) Test connections between BI Publisher and configured sources using Oracle Fusion Middleware Control.
D) Generate and save to a folder in the Presentation Catalog a sample set of data that can be used for configuring and testing the report.
5. When you create a service, a diagnostics ZIP file is uploaded to your cloud storage location. Where can you findthis file if your issue requires further diagnosis?
A) Go to your cloud storage and locate the provisioning_failure logs folder.
B) Go to your cloud storage and locate the service_provisioning_failure logs folder.
C) Go to your cloud storage and locate theservice_provisionfng logs folder.
D) Go to your cloud storage and locate the service_failure logs folder.
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: B,C | Question # 3 Answer: B,C,D,E | Question # 4 Answer: A,C | Question # 5 Answer: C |
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