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IBM C2090-305 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Metadata and Governance | - Metadata discovery and lineage
|
| Data Quality Management | - Data rules and validation
|
| Administration and Configuration | - Setup and system configuration
|
| InfoSphere Information Analyzer Architecture | - System components and workflow
|
| Data Profiling and Analysis | - Understanding data profiling concepts
|
IBM InfoSphere Information Analyzer v9.1 Sample Questions:
1. You need to check multiple columns for duplicates. How does changing the column sequence in Run Duplicate Analysis affect the duplicate check analysis results?
A) You can only run duplicate check analysis on single columns.
B) It may result in fewer duplicates.
C) It may result in more duplicates.
D) It has no effect on the results.
2. While reviewing results of a data rule test, you find a logic error. Which option will allow you to troubleshoot this error?
A) Submit test job with debug option and review the log.
B) Set Retain Scripts on and review job log with DataStage Director.
C) Open client command window, submit job, and review the log.
D) Create a CAS log view, rerun the rule, and review the log.
3. You are analyzing a historical data source with 500 million records with approximately 15 million added per year.
You wish to analyze only records from the year 2000. The table contains a numeric field called YearAdded.
What steps will allow you to minimize the data analyzed?
A) Select Table; Run Column Analysis; Select Analysis Settings tab; Set Where clause to YearAdded= 2000.
B) Select Table; Run Column Analysis; Select Sample tab; Check Use Sample; Set Sample Type to Random. Sample Interval to First, and Sample Size to 15.000.000.
C) Select Table; Run Column Analysis; Select Sample tab; Check Use Sample; Set Sample Type to Sequential and Sample Size to 15.000.000.
D) Create Virtual Table; Set Where clause to YearAdded= 2000; Select Virtual Table; Run Column Analysis.
4. You are implementing a rule that evaluates the valid values for an Indicator field. What
steps are necessary to tolerate a 1 % error rate in the executed rule?
A) Open Data Rule workspace; on Overview tab, set Validity Benchmark to % Not Met <= 1.0000%
B) Open Data Rule workspace; on Overview tab, set Baseline Comparison Benchmark to % Not Met <= 1.0000%
C) Open Data Rule workspace; on Bindings & Output tab. select Output View, set Baseline to % Not Met <= 1.0000%
D) Open Data Rule workspace; on Overview tab, set Confidence Benchmark to % Not Met <= 1.0000%
5. What are three of the analytical functions used in column analysis?
A) completeness, metrics, foreign key
B) data type, domain, selectivity
C) baseline, domain, valid values
D) completeness, domain, format
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: D |
