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Hitachi HCE-5910 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Pentaho Business Analytics Platform | 25% | - Interactive Reporting - Report Designer - User Console and Navigation - Dashboard Creation and Management - Analyzer and Ad Hoc Reporting |
| Topic 2: Data Modeling and Analysis | 20% | - OLAP Concepts - Data Cubes - Calculations and Measures - Schema Design (Mondrian) |
| Topic 3: Pentaho Administration | 15% | - User Management and Security - Repository Management - Server Configuration - Scheduler and Content Management |
| Topic 4: Implementation Best Practices | 10% | - Deployment and Migration - Troubleshooting - Performance Optimization - Error Handling and Logging |
| Topic 5: Pentaho Data Integration (PDI) | 30% | - Transformations and Jobs Design - ETL Concepts and Architecture - Trans Spoon (Trans Jobs) - Data Source Connections - Data Validation and Cleansing |
Hitachi Vantara Certified Specialist - Pentaho Business Analytics Implementation Sample Questions:
Question 1
A data lake differs from a data warehouse in that it:
A. Can store unstructured and structured data
B. Only stores structured data
C. Requires a schema to be defined before data ingestion
D. Is optimized for aggregating data
Question 2
To add calculations or aggregations in the Pentaho Schema Workbench, you would use the ____________ feature.
A. Calculated Member
B. Measure Editor
C. MDX Editor
D. Aggregate Designer
Question 3
The Pentaho Metadata Editor uses ____________ to visually map the physical columns to business model fields.
A. Mapping Editor
B. Business Modeler
C. Concept Editor
D. Visualization Panel
Question 4
In the context of Pentaho Analyzer reports, what is the main benefit of using a measure as a filter?
A. To limit the data to a specific geographical region
B. To enhance the visual appeal of reports
C. To focus on specific numeric ranges of data
D. To increase report generation speed
Question 5
What is the primary function of the Pentaho User Console (PUC)?
A. Data visualization and report generation
B. Data extraction
C. Database management
D. Data cleaning
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: C |
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