PDF Version DemoIBM IBM Information Management P2090-044 IBM InfoSphere Information Server for Data Quality Fundamentals Technical Mastery Test v1 Exams
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IBM P2090-044 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Standardization & Cleansing | 25% | - Standardization rules and formats - Parsing and transformation logic - Cleansing techniques and validation |
| Data Profiling | 20% | - Column analysis and statistics - Data discovery and pattern recognition - Profiling results interpretation |
| Data Quality Concepts | 20% | - Data quality principles and dimensions - Data lifecycle and quality requirements |
| Data Matching & Deduplication | 15% | - Matching algorithms and strategies - Survivorship and merging records - QualityStage functionality |
| InfoSphere Information Server Architecture | 20% | - Installation and configuration basics - Components and modules overview - Metadata repository and management |
IBM InfoSphere Information Server for Data Quality Fundamentals Technical Mastery Test v1 Sample Questions:
Question #1
Which statement about Metadata Workbench is incorrect?
A. It displays data lineage reports
B. It allows Metadata Workbench administrators to associate data stewards with data objects
C. It can extend data lineage to display data integration flows that are outside of Information Server
D. It relies on the repository functions in DataStage Designer for impact analysis
Question #2
Which of the following is a valid Write Table action in the Connector Stages?
A. Append
B. Replace
C. All of the above
D. Truncate
Question #3
What is a supported function of the Dataset Management Utility?
A. Saves the table definition for the dataset
B. Stores datasets
C. Copies, views and deletes the dataset
D. Repartitions datasets
Question #4
What are the file format types when you use DataStage Designer to export objects?
A. TXT and CSV
B. TXT and XML
C. DSX and CSV
D. DSX and XML
Question #5
Which of the following CANNOT be defined in the DataStage configuration file?
A. Compilation options for DataStage jobs
B. Scratch disk dedicated for sorting
C. A named pool including only part (some) of the nodes
D. Degree of parallelism
Solutions:
| Question #1 Correct Answer: D | Question #2 Correct Answer: C | Question #3 Correct Answer: C | Question #4 Correct Answer: D | Question #5 Correct Answer: A |
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