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IBM C2090-719 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: DB2 for Data Warehousing | - DB2 database objects and storage concepts - SQL for analytical queries |
| Topic 2: Performance Tuning | - Workload management strategies - Indexing and query performance optimization |
| Topic 3: IBM InfoSphere Warehouse Architecture | - InfoSphere Warehouse components overview - Warehouse design studio and runtime environment |
| Topic 4: ETL and Data Integration | - Data extraction, transformation, and loading processes - Data staging and cleansing techniques |
| Topic 5: OLAP and Data Analysis | - Cube design and multidimensional analysis - Aggregations and query optimization for OLAP |
| Topic 6: Administration and Security | - System monitoring and maintenance - User roles and access control |
| Topic 7: Data Warehousing Concepts | - Fundamentals of data warehouse architecture - Dimensional modeling concepts (facts and dimensions) |
| Topic 8: Data Modeling and Design | - Star and snowflake schema design - Metadata and logical data modeling |
IBM InfoSphere Warehouse V9.5 Sample Questions:
Question 1
What correctly describes how the InfoSphere Intelligent Miner components are used for predictive modeling?
A. The visualization component can only be used to view the scoring results. The model can beviewed by the modeling component.
B. The modeling component creates a new mining model based on existing data. The scoring component then trains and applies this model to new data in a DB2 table to generate a predicted value.
C. The scoring component is first invoked to score an existing model to generate a new predicted value. This value is then used by the modeling component to generate a new predictive model.
D. The modeling process is first invoked to create and train the prediction model based on existing data. The scoring process then applies this model to new data to generate a predicted value.
Question 2
What are two ways MDCs provide features that facilitate the roll-in and roll-out of data?
(Choose two.)
A. Inserts are faster because the block index is only updated once the block is deleted.
B. There is only a need to REORG data after roll-out.
C. Inserts are faster because MDC can quickly create new empty blocks.
D. Locking is reduced for inserts because they occur at a block level rather than at a row level.
E. There is no need to REORG data after roll-in and roll-out.
Question 3
What is meant by "Information as a Service"?
A. accessing a traditional data warehouse with a Web-based application for the data
B. expanding a traditional data warehouse with XML capabilities for the data
C. extending the traditional data warehouse by providing business context layers to the data
D. storing all analytical data in a multidimensional cube instead of a traditional data warehouse
Question 4
After deploying an application, you might need to update it by making changes to one or more data flows. Deploying changes to an existing application is called delta deployment.
How do you package changes using delta deployment?
A. Package the data flow that has changed.
B. Package all the items that were originally packaged and use the same profile that was used.
C. Package the control flow.
D. Package only the operator or property that has changed.
Question 5
Which statement is true about Rational Data Architect (RDA) integration with the Design Studio for data modeling?
A. The full RDA can be installed into the Design Studio platform for logical and physical data modeling.
B. Design Studio integrates both logical and physical data modeling capabilities from RDA.
C. Design Studio is based on IBM Data Server Developer Workbench and a full set of RDA components.
D. Design Studio includes the physical data modeling component to help you implement your physical model.
Solutions:
| Question 1 Answer: D | Question 2 Answer: D,E | Question 3 Answer: C | Question 4 Answer: C | Question 5 Answer: D |




