[Free] 2017(Oct) CollectDumps Passguide IBM C2090-304 V13 Dumps with VCE and PDF Download 31-40

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IBM InfoSphere QualityStage v9.1 Solution Developer

Question No: 31

You need to create a batch delta match process for transaction records against a very large master file of existing clients.

Which QualityStage match option should be used?

  1. Transitive One-source match

  2. Two-source many-to-one match

  3. Deterministic One-source match

  4. Two-source many-to-many match

Answer: A

Explanation: Transitive One-source matchcan extend further than one-source-dependent because it uses all the pairs that score above the match cutoff. It#39;s recommended if you want to account forinconsistentdata entryin fields that assist in duplicate identification.

Question No: 32

You re-ran a job to update the standardized data. This standardized data file is used in your test environment configuration on Match Designer.

What action would you take to insure the most current standardized data file is used?

  1. No action is required.

  2. You need to open Test Environment and click [Update].

  3. You need to open Data Table Definition and click [Update].

  4. You need to click [Test All Passes] to apply changes in the standardized data.

Answer: A

Question No: 33

A match pass is running a very long time. What is the most common first thing you should review?

  1. The Frequency file.

  2. The blocking strategy.

  3. The number of passes.

  4. The hardware environment.

Answer: C

Question No: 34

When building a field level survivorship routine and the same business rule applies to all address columns, what is the most efficient way to do this?

  1. Move all of the address columns to the target field and define a single rule.

  2. You must use the complex survive expression identifying each address field.

  3. Because logic is being applied at the field level all fields need to have a rule defined.

  4. Apply the survivorship rule directly to the available columns and not to the target column.

Answer: B

Question No: 35

A match review was just completed and determined that individuals with different middle names are being grouped together.

Which option would be effective in breaking these two individuals apart?

  1. Decrease the value of the m-prob for the middle name

  2. Set the override file A missing weight for middle name.

  3. Set the override disagreement weight for middle name.

  4. Set the override disagreement weight for primary name.

Answer: C

Question No: 36

Which match type would you use to perform a quot;fuzzyquot; match for a field containing many un- parsed words (such as a comments field)?





Answer: C

Question No: 37

Which statement represents the pattern that does NOT end with a number?

A. | | | $ B. | | !A | $ C. | | nA | $

D. 1 I lt;gt;A I $

Answer: C

Question No: 38

In the output fields available from the Name Standardize rule set, how many MatchPrimaryWords are defined?

  1. Two

  2. Three

  3. Four

  4. Five

Answer: A

Question No: 39

An initial match specification is built and executed- The match executes slower than expected and it is suspected that blocking may be a factor.

Which option would be effective in determining if the block sizes are too large?

  1. Create an investigation routine using the blocking fields for each match pass.

  2. Review the match specification test results graph to determine blocking results.

  3. Add disagreement weight to key fields where appropriate to break apart matches.

  4. Analyze the blocking fields within the match specification to see if there are enough fields.

Answer: A

Question No: 40

What two approaches to use when determining fields to use for blocking?

  1. Investigate the combination of fields to assess block sizes.

  2. Selecting which field to use will have little impact on the matching results.

  3. Select fields with high data frequencies even if default values are present.

  4. Each field should be investigated to determine completeness and validity.

  5. Use as few fields as possible in the blocking phase so more records are grouped.

Answer: B,E

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