Test 000-419: IBM InfoSphere QualityStage v8 Examination

Methodology (5%)

1. Describe the steps in data quality methodology.
2. Business requirements as related to data quality
3. Process sequence and why
4. Define probabilistic matching versus deterministic matching.

Design Considerations (17%)

1. Identify the steps for standardization.
2. Given a scenario, demonstrate knowledge how to optimize QualityStage jobs using parallel concepts.
3. Given a scenario, describe how to handle data from multiple countries for standardization.
4. Describe initial vs. delta vs. real-time design considerations. (may use scenarios)
5. Design QualityStage flow for real-time deployment
6. Describe data structure considerations for source and target QualityStage jobs. (may use scenarios)

Investigation (10%)

1. Given a scenario, demonstrate knowledge of investigation stage and types.
2. Given a scenario, describe how word investigation results can be used.

Standardization/Addresses/Postal (12%)

1. Describe the differences between address certification, verification, and standardization.
2. Define what the standardization stage is and how to use it.
3. Given a scenario, describe the purpose of standardization and what results are produced by the process.

Rule Sets (15%)

1. Demonstrate knowledge of how to customize standardization rules.
2. Demonstrate knowledge of the components of a rule and their functions.
3. Demonstrate knowledge of managing standardization rules.

Matching (20%)

1. Given a scenario, demonstrate knowledge of match concepts.
2. Describe the match components.
3. Given a scenario, describe how to review and tune a match.
4. Demonstrate knowledge of match specification and pass re-usability.
5. Given a scenario, demonstrate knowledge of match job design to achieve optimal performance.

Survive (10%)

1. Describe the purpose of survive.
2. Demonstrate knowledge of the different rule types for surviving data and when to use them.
3. Describe how to implement a survive stage.

Setup & Troubleshooting (11%)

1. Identify how to troubleshoot a QualityStage job.
2. Describe how to configure data quality functionality.
3. Describe QualityStage deployment considerations.
4. Demonstrate knowledge of NLS/non-NLS install and its impact on QualityStage stages.