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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Microsoft SQL server that has Data Quality Services (DQS) installed.
You need to review the completeness and the uniqueness of the data stored in the matching policy.
Solution: You create a matching rule.
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Use a matching rule, and use completeness and uniqueness data to determine what weight to give a field in the matching process.
If there is a high level of uniqueness in a field, using the field in a matching policy can decrease the matching results, so you may want to set the weight for that field to a relatively small value. If you have a low level of uniqueness for a column, but low completeness, you may not want to include a domain for that column.
References: https://docs.microsoft.com/en-us/sql/data-quality-services/create-a-matching-policy?view=sql- server-2017
NEW QUESTION: 2
Which of the following statements are true about Information Security Management?
Each correct answer represents a complete solution. Choose all that apply.
A. Information Security is a system of policies and procedures.
B. It is not designed to recognize, control, or protect information or any equipment that is used in connection with its processing.
C. It is designed to recognize, control, and protect information and any equipment that is used in connection with its storage and transmission.
D. Information Security Management has the objective to manage information security effectively within all service providers.
Answer: A,C,D
NEW QUESTION: 3
A customer needs to have a calculation done prior to aggregating the data. How would you accomplish this?
A. By creating a derived metricby using the Expression Builder
B. By creatinga derived metricby using the Calculation Wizard
C. By creating a derived measure by using LogicColumnsavailable andchanging theaggregationtype
D. By creating a derived measure in the Column Mapping dialog box byusing the physical tablecolumns.
E. By creating a derived measure by using the Logical Columns available
Answer: C
Explanation:
Note1: OBIEE offers two calculation types for measure in the repository:
logical
physical
You can define calculations in either of the following ways:
*Before the aggregation, in the logical table source.
*After the aggregation, in a logical column derived from two other logical columns. For example: sum(col A) * sum(col B)
Note 2:A measure column is a column unlike the baseline column that has a default aggregation
rule defined in the Aggregation tab of the Logical Column dialog in the repository.
Measure columns always calculate the aggregation with which they are defined.
Measures need to be defined in a logical fact. Any column with an aggregation rule is a measure.
http://gerardnico.com/wiki/_media/dat/obiee/bi_server/design/obiee_measure_column.jpg
NEW QUESTION: 4
Match each deployment logical block with its attributes.
Answer:
Explanation:
