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Viewing questions 11-20 out of questions
Questions # 11:

A customer wants to be able to review data on the overall quality of each record, which technique should be used?

Options are :

Options:

A.

Scorecarding

B.

Matching

C.

Grading

D.

Standardization

Questions # 12:

Which are correct statements for IDQ grouping and matching? (Choose 2 answers)

Options:

A.

IDQ field level matching does not utilize grouping

B.

When field level matching is performed, the records within each group will be compared against each other

C.

When field level matching is performed, matching will be performed across multiple groups in a single match transformation.

D.

When field level matching is performed, matching will not be performed across groups, therefore it is imperative grouping is performed on a complete and accurate field(s)

Questions # 13:

Which of the following statements is true regarding DQ for Excel?

Options are :

Options:

A.

DQ for Excel allows .xls files be used as source and target objects in mappings.

B.

DQ for Excel enables non Informatica users to benefit from data quality rules by consuming and applying data quality rules directly from MS Excel data/ worksheets.

C.

DQ for Excel can be used in any version of Excel.

D.

In order to be able to use DQ for Excel, both PowerCenter and Data Quality Developer must be installed.

Questions # 14:

What transformation would you use to standardize data using a reference table?

Options:

A.

Labeler

B.

Decision

C.

Standardizer

D.

Parser

Questions # 15:

During a project export, typically what will the output be from the export?

Options are :

Options:

A.

An xml file containing all the mapping/mapplet/object definition

B.

An xml file containing all the mapping/mapplet/object definition and a zip file containing all the reference data if required

C.

The contents of each Project (including the dependent reference tables) in a zip file

D.

Projects will be exported to an .irob file

Questions # 16:

Which strategy pairs characters together as its match algorithm?

Options:

A.

Edit Distance

B.

Bigram

C.

Hamming Distance

D.

Jaro Distance

Questions # 17:

When using field matching which is the best approach if using First Name as a match field?

Options:

A.

Never use First Name as it is not necessary

B.

No standardization of First Name field is necessary

C.

Use the Edit Distance strategy

D.

Create Soundex or NYSIIS value for the First Name and use it in match

Questions # 18:

If the inputs to the Edit Distance Strategy below are 'john' and NULL, what will the resulting match score be?

Larger image

Options are :

Options:

A.

0

B.

0.5

C.

1

D.

1.2

Questions # 19:

Where does Scorecarding fit into the data quality process?

Options are :

Options:

A.

Not at all - Scorecardlng is a separate process

B.

At the start of the process only to assess current data quality levels

C.

At the start and during regular intervals of the process to measure on-going data quality levels

D.

At the end of the process only to prove the value of the data quality tool

Questions # 20:

A customer has provided a number of delimited flat files that require profiling, but not file definition. What should you do first?

Options are :

Options:

A.

Allow the wizard in Developer to automatically select the data types when creating the data objects.

B.

Set all of the data types to text and length longer than those specified. The profiler will tell you what they should be.

C.

Import the file into a database table before profiling.

D.

Change the code page of the file to UTF-8.

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