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IBM InfoSphere Information Server for Data Quality Fundamentals Technical Mastery Test v1 Sample Questions:

1. The ODBC Connector Stage can be used to connect to __________.

A) All of the above
B) Teradata database
C) DB2 database
D) Oracle database

2. A customer has a table created based on a data set in which the proportion of the various groups in the total population is not accurately reflected. What can be applied to the table to help balance the responses to more accurately reflect the true proportion?

A) Apply an extrapolation algorithm to insert extra representative records to help balance the data in the total population
B) Apply a filter to hide the appropriate portion of the respondent cases that results in unbalanced data in the total population
C) Apply weighting to the table to inflate responses from one portion of the total population while deflating responses from another
D) Apply one of the available balancing mechanisms available in the Table Properties dialog for Survey Reporter to automatically balance the proportions of the various groups in the data set

3. A DataStage job can be executed from_______________

A) DataStage Designer or Director client.
B) DataStage Director client only
C) DataStage Administrator client only
D) DataStage Administrator or Director client

4. Which of the following statements about FastTrack is incorrect?

A) Changes in mapping specifications are propagated to previously generated DataStage jobs as annotations
B) When generating a job from a FastTrack specification, you can specify the desired stage type for the source and the target (e.g. sequentialfile, ODBC connector, DB2 connector)
C) When a job is generated from a FastTrack specification, it can contain connection information to access source and target database systems
D) The only way to combine data in a FastTrack mapping specification is to create a lookup definition

5. Consider a Parallel Job including a Join Stage with HASH partitioning algorithm followed by an Aggregator stage. Which of the following statements about the Aggregator stage partition algorithm is correct?about the Aggregator stage? partition algorithm is correct?

A) If the Aggregator groups on different key column(s) from Join, SAME ensures groups of rows stay together
B) If the Aggregator groups on the same key column(s) as Join, repartitioning must be done in order to have correct results
C) ROUND ROBIN ensures correct results
D) If the Aggregator groups on the same key column(s) as Join, SAME ensures groups of rows stays together

Solutions: