IBM P2090-044 Questions & Answers - in .pdf
- Total Q&A: 70
- Update: Oct 19, 2026
- Price: $59.99
- Vendor: IBM
- Exam Code: P2090-044
- Exam Name: IBM InfoSphere Information Server for Data Quality Fundamentals Technical Mastery Test v1
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IBM P2090-044 Exam Syllabus Topics:
| Section | Objectives |
|---|
| Matching and Survivorship | - Entity resolution concepts
- 1. Duplicate detection and survivorship rules
- 2. Matching algorithms
|
| Data Quality Fundamentals | - Data quality concepts
- 1. Data profiling and assessment
- 2. Dimensions of data quality
|
| Integration and Business Value | - Implementing data quality solutions
- 1. Integration with Information Server components
- 2. Business benefits and use cases
|
| Information Analyzer and Monitoring | - Data analysis and monitoring
- 1. Quality metrics and reporting
- 2. Rule creation and scorecards
|
| Data Standardization and Cleansing | - Standardization processes
- 1. Parsing and formatting data
- 2. Validation and correction techniques
|
| IBM InfoSphere Information Server Overview | - Information Server architecture
- 1. Core components and services
- 2. Information governance concepts
|
IBM InfoSphere Information Server for Data Quality Fundamentals Technical Mastery Test v1 Sample Questions:
Question #1
Which functionalities are supported by InfoSphere Discovery? I.Discover primary / foreign key relationships between tables II.Discover statistics about usage of data by users III.Discover matching source and target columns IV.Discover suggested transformations that, when applied, will transform the data from the source columns to match the data in the target columns
A. II, III, IV
B. I, II, IV
C. I, III, IV
D. I, II, III
Question #2
What is a descriptor file of a Dataset created by the Dataset Stage?
A. Contains the length of the data files
B. Contains the actual data in binary format
C. Contains the actual data in text format
D. Contains metadata, data location, but not the data itself
Question #3
Which type of Join would you select for the Join Stage to output unmatched records from both input data sources?
A. Full outer join
B. Left outer join
C. Inner join
D. Right outer join
Question #4
Which of the following CANNOT be defined in the DataStage configuration file?
A. Degree of parallelism
B. A named pool including only part (some) of the nodes
C. Compilation options for DataStage jobs
D. Scratch disk dedicated for sorting
Question #5
Which Stage requires identical metadata in order to combine data?
A. Funnel Stage
B. Lookup Stage
C. Transformer Stage
D. Join Stage
Solutions:
Question #1
Correct Answer: C | Question #2
Correct Answer: D | Question #3
Correct Answer: A | Question #4
Correct Answer: C | Question #5
Correct Answer: A |
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