Questão 1
Questão
1. Business intelligence is a framework that allows a business to transform data into information, information into knowledge, and knowledge into wisdom.
Questão 2
Questão
2. Business intelligence (BI) architecture is composed of data, people, processes, technology, and the management of such components.
Questão 3
Questão
3. A data store is used by data analysts to create queries that access the database.
Questão 4
Questão
4. Master data management’s main goal is to provide a partial and segmented definition of all data within an organization
Questão 5
Questão
5. Operational data and decision support data serve the same purpose.
Questão 6
Questão
6. Decision support data are a snapshot of the operational data at a given point in time.
Questão 7
Questão
7. Queries against operational data typically are broad in scope and high in complexity.
Questão 8
Questão
8. Data warehouse data are organized and summarized by table, such as CUSTOMER and ADDRESS.
Questão 9
Questão
9. Relational data warehouses use multidimensional data schema support to handle multidimensional data.
Questão 10
Questão
10. The data warehouse development life cycle differs from classical systems development.
Questão 11
Questão
11. A data warehouse designer must define common business dimensions that will be used by a data analyst to narrow a search, group information, or describe attributes.
Questão 12
Questão
12. By default, the fact table’s primary key is always formed by combining the superkeys pointing to the
Dimension tables to which they are related.
Questão 13
Questão
13. Normalizing fact tables improves data access performance and saves data storage space.
Questão 14
Questão
14. Periodicity, usually expressed as current year only, previous years, or all years, provides information about the time span of the data stored in a table.
Questão 15
Questão
15. Multidimensional data analysis techniques include advanced computational functions.
Questão 16
Questão
16. Advanced OLAP feature become more useful when access to them is kept simple.
Questão 17
Questão
17. To provide better performance, some OLAP systems merge data warehouse and data mart approaches by storing small extracts of the data warehouse at end-user workstations.
Questão 18
Questão
18. A star schema is designed to optimize data query operations rather than data update operations.
Questão 19
Questão
19. ROLAP and MOLAP vendors are working toward the integration of their respective solutions within a unified decision support framework.
Questão 20
Questão
20. The ROLLUP extension is used with the GROUP BY clause to generate aggregates by the listed columns, including the last one.
Questão 21
Questão
21. The CUBE extension enable you to get a grand total for each column listed in the expression
Questão 22
Questão
22. A is optimized for decision support and is generally represented by a data warehouse or a data mart.
Responda
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a. data store
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b. ETL tool
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c. data visualization
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d. data analysis tool
Questão 23
Questão
23. are in charge of presenting data to the end user in a variety of ways.
Questão 24
Questão
24. _____ provide a unified, single point of entry for information Distribution.
Questão 25
Questão
25. In business intelligence framework, data are captured from a production system and placed in the____ on a near real- time basis.
Questão 26
Questão
26. Tools focus on the strategic and tactical use of information.
Questão 27
Questão
27. Which of the following is a personal analytics vendor for BI applications?
Responda
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a. IBM
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b. Kognitio
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c. Netezza
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d. MicroStrategy
Questão 28
Questão
28. From a data analyst’s point of view, decision support data differ from operational data in three main areas: time span, granularity, and .
Questão 29
Questão
29. Operational data are commonly stored in many tables, and the stored data represent information about a given
only.
Responda
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a. transaction
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b. database
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c. table
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d. concept
Questão 30
Questão
30. The schema must support complex (non-normalized) data representations.
Responda
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a. snowflake
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b. online analytical processing
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c. decision support database
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d. multidimensional database
Questão 31
Questão
31. Data implies that all business entities, data elements, data characteristics, and business metrics are described in the same way throughout the enterprise.
Responda
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a. visualization
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b. analytics
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c. mining
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d. integration
Questão 32
Questão
can serve as a test vehicle for companies exploring the potential benefits of data warehouses.
Responda
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a. Data networks
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b. Data marts
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c. Data cubes
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d. OLAPs
Questão 33
Questão
33. Bill Inmon and Chuck Kelley created a set of 12 rules to define a(n) .
Responda
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a. data warehouse
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b. multidimensional cube
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c. OLAP tool
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d. star schema
Questão 34
Questão
34. The basic star schema has four components: facts, , attributes, and attribute hierarchies.
Responda
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a. keys
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b. relationships
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c. cubes
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d. dimensions
Questão 35
Questão
35. Computed or derived facts, at run time, are sometimes called to differentiate them from stored facts.
Responda
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a. schemas
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b. attributes
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c. metrics
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d. dimensions
Questão 36
Questão
36. In a star schema, attributes are often used to search, filter, or classify .
Responda
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a. tables
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b. sales
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c. facts
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d. dimensions
Questão 37
Questão
37. The attribute hierarchy provides a top-down data organization that is used for two main purposes:_____ and
drill-down/roll-up data analysis.
Responda
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a. decomposition
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b. de-normalization
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c. normalization
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d. aggregation
Questão 38
Questão
38. In star schema representation, a fact table is related to each dimension table in a relationship.
Responda
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a. many-to-one (M:1)
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b. many-to-many (M:M)
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c. one-to many (1:M)
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d. one-to-one (1:1)
Questão 39
Questão
39. Fact and dimension tables are related by keys.
Responda
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a. shared
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b. primary
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c. foreign
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d. linked
Questão 40
Questão
40. In a typical star schema, each dimension record is related to thousands of records.
Responda
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a. attribute
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b. fact
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c. key
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d. primary
Questão 41
Questão
41. A schema is a type of star schema in which dimension tables can have their own dimension tables.
Responda
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a. snowflake
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b. starflake
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c. dimension
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d. matrix
Questão 42
Questão
42. _____ splits a table into subsets of rows or columns and places the subsets close to the client computer to improve data access time.
Responda
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a. Normalization
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b. Meta modeling
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c. Replication
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d. Partitioning
Questão 43
Questão
43. The reliance on as the design methodology for relational databases is seen as a stumbling block to its use in OLAP systems.
Questão 44
Questão
44. Decision support data tend to be non-normalized, , and pre-aggregated.
Responda
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a. unique
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b. duplicated
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c. optimized
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d. sorted
Questão 45
Questão
45. extends SQL so that it can differentiate between access requirements for data warehouse data and operational data.
Responda
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a. ROLAP
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b. OLAP
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c. DBMS
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d. BI
Questão 46
Questão
46. A index is based on 0 and 1 bits to represent a given condition.
Responda
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a. logical
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b. multidimensional
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c. normal
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d. bitmapped
Questão 47
Questão
47. Conceptually, MDBMS end users visualize the stored data as a three-dimensional cube known as a .
Responda
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a. multi-cube
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b. database cube
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c. data cube
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d. hyper cube
Questão 48
Questão
48. A multidimensional database management systems (MDBMS) uses proprietary techniques to store data in
n-dimensional arrays
Responda
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a. table-like
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b. matrix-like
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c. network-like
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d. cube-like
Questão 49
Questão
49. A _____ is a dynamic table that not only contains the SQL query command to generate the rows, but also stores the actual rows.
Responda
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a. SQL view
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b. materialized view
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c. star schema
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d. data cube