DBW 301 Final Exam | Verified with 100% Correct Answers
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Course
DBW 301
Institution
DBW 301
DBW 301 Final Exam | Verified with 100% Correct Answers ..... table contains the values we want to analyze. A. Fact B. Dimension C. Aggregate D. Center ........ focus is on how managers view the business. A. Data warehouse B. OLTP C. Business system D. OLAP ......... reveals business trends. A. D...
..... table contains the values we want to analyze.
A. Fact
B. Dimension
C. Aggregate
D. Center
........ focus is on how managers view the business.
A. Data warehouse
B. OLTP
C. Business system
D. OLAP
......... reveals business trends.
A. Data warehouse
B. OLTP
C. Business system
D. OLAP
........... acts as the glue that connects all parts of the data warehouse.
A. Metadata
B. ETL
C. Operational Metadata
Extraction and Transformation Metadata
............ may answer questions on overall process.
A. OLTP
B. OLAP
C. Business Intelligence
D. Data warehouse
............ systems capture details of events or transactions.
A. OLTP
B. Data warehouse
C. OLAP
D. Business Intelligence
,............. indicator of high-quality data ensures that there are no missing values for a
given attribute in the system.
A. Accuracy
B. Domain Integrity
C. Data Type
D. Completeness
............. indicator of high-quality data ensures the data value of an attribute falls in the
range of allowable, defined values.
A. Accuracy
B. Domain Integrity
C. Data Type
D. Consistency
............. indicator of high-quality data ensures the form and content of a data field is the
same across multiple source systems.
A. Accuracy
B. Domain Integrity
C. Data Type
D. Consistency
............. indicator of high-quality data ensures the value stored in the system for a data
element is the right value for that occurrence of the data element.
A. Accuracy
B. Domain Integrity
C. Data Type
D. Consistency
............. indicator of high-quality data ensures value for a data attribute is actually
stored as the data type defined for that attribute.
A. Accuracy
B. Domain Integrity
C. Data Type
D. Consistency
............... signifies that the data warehouse stores the information around a particular
subject such as product, customer, sales etc.
A. Subject oriented
B. Integrated
, C. Time-Variant
D. Nonvolatile
................. means populating all the data warehouse tables for the very first time.
A. Initial load
B. Incremental load
C. Load all
D. Load
............................. are designed to overcome any limitations placed on the warehouse
by the nature of the relational data model.
A. Operational database
B. Relational database
C. Multidimensional database
D. Data repository
...............represents the level of detail in the fact table.
A. Data granularity
B. Aggregation
C. Data level
D. Data size
............systems focus on individual events.
A. Data warehouse
B. OLTP
C. Business system
D. OLAP
...........means applying ongoing changes as necessary in a periodic manner.
A. Incremental load
B. Updating load
C. Full refresh
D. Immediate load
A fact is a measure taken at the .............of all the dimensions.
A. intersection
B. union
C. combination
D. cross
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