IBM IBM Certified Solution Developer C2090-305

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IBM IBM Certified Solution Developer C2090-305 IBM InfoSphere Information Analyzer v9.1 Exams

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IBM InfoSphere Information Analyzer v9.1 Sample Questions:

1. 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 Confidence 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 Validity Benchmark to % Not Met <= 1.0000%

2. You suspect that data in a table contains inconsistent structure/formatting. Which
Information Analyzer Column Analysis screen would be used to determine this?

A) Structure
B) Layout
C) Format
D) Tokens

3. Which of the following is the correct HTTP API request format for creating a data rule definition in an existing project?

A) http://< ServerName>:9080/lnformationAnalyzer/create?ruleTaskSequence
B) http://<ServerName>:9080/InformationAnalyzer/create?projectName=<YourProjectName> 8<ruleName= <YourRuleName>
C) http://<ServerName>:9080/InformationAnalyzer/create?projectContent
D) http://<ServerName>:9080/lnformationAnalyzer/post?ruleDefinition

4. It is desired to create a data rule to determine how many rows in the master data catalog have a primary shipping location that is not found in the location_number column in the "Location" table.
What is the proper rule definition logic to achieve this requirement?

A) master_catalog_primary_shipping_location NOT in_reference_list location_number
B) master_catalog_primary_shipping_location NOT match location_number
C) master_catalog_primary_shipping_Iocation <> location_number
D) master_catalog_primary_shipping_location NOT in_reference_column location_number

5. What are two characteristics of data rules?

A) Data rules only produce exception data.
B) Each data rule has a defined status.
C) You cannot transfer data rules to another environment.
D) Data rules can be tested interactively during data rule creation.
E) Data rule definitions are explicit to one data source.

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