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IBM C2090-719 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Movement and Integration | 15% | - Scheduling and execution - Data transformation and loading - Control flows and data flows |
| Topic 2: Installation and Configuration | 25% | - Setting up administration console - Installing Design Studio and server components - Configuring DB2 and WebSphere integration |
| Topic 3: Architecture and Planning | 20% | - System requirements and capacity planning - InfoSphere Warehouse components and architecture - Deployment topologies |
| Topic 4: Data Modeling and Design | 20% | - Logical and physical data modeling - Warehouse schema design - Integration with design tools |
| Topic 5: Application Deployment and Management | 5% | - Deploying warehouse applications - Managing runtime environment |
| Topic 6: Administration, Security and Tuning | 15% | - User management and security - Backup, recovery and troubleshooting - Performance monitoring and optimization |
IBM InfoSphere Warehouse V9.5 Sample Questions:
Question 1
In a three node configuration, which two servers can contain InfoSphere Warehouse Intelligent Miner components? (Choose two.)
A. WebSphere Administration Server
B. Client
C. Data Server
D. Web Server
E. Mining Server
Question 2
A logical data model was created in a design tool. It is needed as a reference for a datawarehouse project. How can the logical model be used within Design Studio to create a database model?
A. The logical data model objects can be imported into Design Studio using the Data Model Import Wizard.
B. The logical data model objects can be exported into metadata format which can be imported into Design Studio using the Data Model Import Wizard.
C. The logical model objects can be reverse engineered directly into the Design Studio.
D. Use the design tool to create a DDL file then use Design Studio to reverse engineer the model from the DDL file.
Question 3
Your warehouse schema is a snowflake design that has two dimension tables with outboard tables and a third dimension table without an outboard table. Five data flows have been created to load these tables. In your control flow, how would you efficiently process these loads?
A. Use one parallel container which contains a parallel container for the outboard tables and a parallel container for the three data loads.
B. Use one parallel container for all five data flows.
C. Use one parallel container for the three dimension tables" data flows which feeds a second parallel container for the two outboard table loads.
D. Use one parallel container for the outboard tables" data flows which feeds a second parallel container for the three dimension table loads.
Question 4
You have generated the MQTs suggested by the Cubing Services Optimization Advisor.
How can you verify that the DB2 Optimizer is routing to those MQTs?
A. Use the generated SQL from queries accessing the star schema as input to the DB2 Design Advisor; then compare the suggested MQTs with the MQTs suggested by the Cubing Services Optimization Advisor.
B. In the Cubing Services SQL log, look at the SQL queries generated and see if any are accessing your MQTs.
C. Invoke the Summary Table Usage facility in the Admin Console.
D. Extract the MDX queries from the Cubing Services MDX log and do an Explain of those queries. See if any of the queries are rewritten to access the MQTs.
Question 5
For text analytics, the technique that uses a dictionary to do searching is known as which type of information extraction?
A. rule-based
B. list-based
C. natural language processing
D. regular expression
Solutions:
| Question 1 Answer: B,C | Question 2 Answer: D | Question 3 Answer: D | Question 4 Answer: C | Question 5 Answer: B |




