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How to Prepare For IBM InfoSphere QualityStage Fundamentals Technical Mastery Test v1
Preparation Guide for IBM InfoSphere QualityStage Fundamentals Technical Mastery Test v1
Introduction
This exam validates the technical knowledge required for the purpose of identifying, managing and closing sales opportunities.The test is applicable to sales representatives who demonstrate sales and technical knowledge of the software and targets the technical sales professional who can deliver a comprehensive business solution to customers through solution identification, product differentiation, and competitive positioning.
Passing this test counts towards PartnerWorld competency requirements and helps you attain higher membership levels. This test also entitles you to use the mastery qualification title on your business card. IBM P2090-95 practice exams and IBM P2090-95 practice test have all questions related to this.
Candidate should give this exam who want:
- Understand QualityStage commonly used components and processes
- Understand general concept of data quality and QualityStage
- Understand the algorithms used in QualityStage to improve data quality
Sample Questions
Which of the following rules will retain FIELD1 with the longest last name and TITLE equals to “MR”?
- FIELD1: SIZEOF(TRIM(c.“LASTNAME”))>= SIZEOF(TRIM(c.“LASTNAME”)) AND c.TITLE=“MR”
- FIELD1: SIZEOF(TRIM(c.“LASTNAME”))<= SIZEOF(TRIM(b.“LASTNAME”)) AND c.TITLE=“MR”
- FIELD1: SIZEOF(TRIM(c.“LASTNAME”))>= SIZEOF(TRIM(b.“LASTNAME”)) AND c.TITLE=“MR”
- FIELD1: SIZEOF(TRIM(c.“LASTNAME”))>= SIZEOF(TRIM(b.“LASTNAME”)) AND b.TITLE=“MR”
Which of the following is TRUE regarding the use of Critical Fields?
- Only critical fields of a record are used to calculate the composite weights of the record.
- Critical Fields are used to identify fields that must agree in order for records to be linked.
- Critical Fields do not have to match exactly.
- Critical Fields are fields with missing values.
In Standardization Rule Sets, classification table contains what?
- Token, standard form, class, and override rules.
- Pattern of tokens, actions to execute, and the logic.
- Class, token, and standard form.
- Field name, data type, and position in record.
Investigation of data using QualityStage is for _____________________
- discovering the actual values of missing data.
- identifying all the data sources for data consolidation.
- verifying the reliability of the data in the fields to be used as matching criteria.
- transforming the data from one data type to another.
What is DataStage/Quality Stage Administrator client used for?
- Exporting log messages for a job.
- Scheduling jobs to execute.
- Setting up project properties.
- Compiling all the jobs at once.
What does character discrete investigation examine?
- Both single domain and multiple domain fields.
- Single domain fields.
- Multiple domain fields.
- None of the above.
What is DataStage/QualityStage Director client used for?
- Clearing log messages of a job.
- Enabling run time column propagation for parallel jobs.
- Publishing and managing shared information services.
- Compiling and executing a job.
Which one of the following is NOT a survive technique?
- Most Frequent
- Longest Field
- Most Recent
- Probability based rule
Which of the following should be avoided regarding the use of Match Improvement Strategy?
- Add additional passes.
- Use only one Match Pass.
- Set critical values for important fields.
- Adjust weights using weight overrides.
A QualityStage investigate job will NOT ________________
- discover trends and anomalies.
- group records together that are considered duplicates.
- identify invalid and default values.
- examine single domain and free-form text fields.
What does the informational content of a QualityStage Match phase measure?
- The significance of discriminating value and frequency.
- The severity of false positives and false negatives.
- The confidence of a match.
- The degree of importance of a particular data field.
What does the QualityStage Standardization Rule Set contain?
- Information on how to perform calculation with the data.
- Logic for parsing, classifying, and pattern processing the data.
- Rules for eliminating columns of data.
- Rules on which records to keep
Which one of the following is NOT a necessary step in QualityStage to address data quality issues?
- Transform
- Standardize
- Survive
- Investigate
If data value AEJPA 5342G is investigated using an all-C mask, what would the result look like?
- CCCCBCCCCC
- AEJPA XXXXG
- AEJPA G
- AEJPA 5342G
Which of the following is NOT true regarding the use of Match Type?
- Unduplicate Match requires two source files.
- Reference Match has many-to-one correspondence.
- Reference Match has one-to-one correspondence.
- All of the above.
What will a QualityStage match job do?
- Construct consolidated household views of individuals.
- Enforce business standards on data elements.
- Create cross reference keys.
- Gain complete understanding of data within context.
Which of the following is Weight Override used to add or replace?
- Agreement weight
- Disagreement weight
- Calculated weight
- All of the above.
Which of the following is NOT a Match Stage comparison method?
- FREQUENCY
- NAME_UNCERT
- UNCERT
- CNT_DIFF
Which of the following will be generated by a QualityStage Word Investigate job?
- Pattern report and token report.
- Sample report and detail report.
- Pattern report and output report.
- Sample report and token report.
What is Character Concatenate method used for?
- To analyze data using one or more character masks.
- To generate reports for frequency and pattern references.
- All of the above.
- To investigate one or more fields to uncover any relationship between the field values.
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Exam Topics
The following are covered in IBM P2090-95 practice exams and IBM P2090-95 practice test:
- QualityStage General Questions - 100%
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IBM P2090-095 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Profiling | - Interpreting profiling reports - Understanding data investigation and profiling techniques |
| Topic 2: Matching and Survivorship | - Survivorship rules and outcomes - Match stage concepts and comparison methods |
| Topic 3: QualityStage Jobs and Processing | - Reports and outputs - Designing and executing jobs |
| Topic 4: Introduction to InfoSphere QualityStage | - Purpose and components of InfoSphere QualityStage - Key capabilities: profiling, standardization, matching, survivorship |
| Topic 5: Standardization | - Standardization rule sets and usage - Tokenization and classification in standardization |

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