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Test Number : PR000005
Test Name : Data Quality 9.x Developer Specialist
Vendor Name : Hortonworks
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PR000005 test Format | PR000005 Course Contents | PR000005 Course Outline | PR000005 test Syllabus | PR000005 test Objectives


You may select from one or more response offerings to answer a question.
You will score the question correctly if your response accurately completes the statement or answers the question. Incorrect distractors are given as possible correct answers so that those without the required skills and experience may wrongly select that choice.
A passing grade of 70% is needed to achieve recognition as an Informatica Certified Specialist (ICS) Data Quality Developer v9.x.
You are given 90 minutes to complete the exam. Test formats used in this test are:
Multiple Choice: Select one option that best answers the question or completes the statement
Multiple Response: Select all that apply to best answer the question or complete the statement
True/False: After memorizing the statement or questions select the best answer

Data Quality Developer 9.x, Specialist Certification
About the ICS Data Quality Developer test and the Skill Set Inventory
This test measures your competency as a member of a project implementation team. This involves having an in-depth knowledge of each of the Data Quality processes from Profiling to Standardization, Matching and Consolidation. You need to be able to select and configure the appropriate Data Quality transformation for your requirements and build, debug and execute Data Quality mappings as well as integrate mappings into Power Center.
The skill set inventory is used to guide your preparation before taking the exam. It is an outline of the technical syllabus and subject areas that are covered in each exam. The skill set inventory includes test domain weighting, test objectives and topical content. The syllabus and concepts are included to clarify the test objectives.
Test takers will be tested on:
Their ability to navigate through the Developer Tool
Use of Project Collaboration techniques; shared Tags, Comments, Profiles, reference tables to share information with Analysts
Using a variety of profiling methods to profile data
The use of Analyst built profiles to develop mappings
Build mappings and mapplets to cleanse and standardize data
Perform Address Validation
Identifying duplicate records in a dataset
Automatically and manually consolidating duplicate records to create a master record
Execution of mappings/mapplets in PowerCenter
Deployment of Data Quality Mappings in an Excel spreadsheet (connect to Web Services)

Title % of Test
Informatica Overview 10%
Analyst Collaboration 10%
Profiling 15%
Standardization/Mapplets 10%
Address Validation 5%
Matching 10%
Consolidation and the DQA 10%
Integration with PowerCenter 5%
Object Import and Export 5%
DQ for Excel 5%
Parameters 5%
Content 10%

Test Topics
The test will contain 70 questions comprised of syllabus that span across the sections listed below. In order to ensure that you are prepared for the test, review the subtopics with each section.
Informatica Overview
Describe the Informatica 9 architecture and set up including the repositories required for installation
Provide information on the Data Quality process and dimensions of data quality
Analyst Collaboration
Use and describe the functionality of the Analyst Tool including Scorecarding, Reference Table Management, Tags, Filters, Profiles and Comments
Describe how Analysts and Developers can collaborate on projects
Describe the benefits of project collaboration to a team
Profiling
Perform and interpret column, rule, comparative and mid-stream profiling
Standardization/Mapplets
Be aware of where data standardization fits in the DQ process
Apply, configure and troubleshoot data standardization transformations
Differentiate between the various parsing techniques available
Recognize how reference tables are used in the standardization process
Address Validation
Verify the importance of Address Validation
Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
Interpret the AV outputs generated Matching
Develop and build match plans to identify duplicate or related data
Differentiate between the matching algorithms available and explain how matching scores are
Configure Identity Matching option for the match transformation
Explain populations, the identity match strategies that are available and how they are used in Identity Matching
Consolidation and the DQA
Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables
Troubleshoot any problems that may occur
Generate a survivor record in the DQA
Remove duplicates using DQA Integration with Power Center
Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
Object Import and Export
Define the difference between the Basic and Advanced Import options available
Explain Dependency conflict resolution and how it is handled
Describe how to Export a Project DQ for Excel
Describe the requirements for integration for Excel
Define the techniques for creating mappings for DQ for Excel
Explain the Web service capabilities required for DQ for Excel
Provide an explanation on how to use the Informatica ribbon in Excel
Parameters
Explain what parameters are and why they are used including what parameter functions are supported
Identify which Transformations can use parameters
Describe the process of exporting mappings with parameters built in Content
Explain what Content is, what is contained in the Core Accelerator and why it is used.



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