MCQ Bank
Assume a company with a multi-million row customer table i.e. n rows. Checking for Referential Integrity (RI), using a smart technique with some kind of a tree data structure would require ______________time.
- A) O(log n)
- B) O(1)
- C) O(n)
- D) None of the given
A join is identified by multiple tables in the ____ clause
- A) SORT BY
- B) GROUP BY
- C) SELECT
- D) FROM
Which of the following is not an activity of Data Quality Analysis Project?
- A) “Analyze”
- B) “Measure”
- C) “Compression”
- D) “Define”
Bitmap index is appropriate for:
- A) Low cardinality data
- B) High cardinality data
- C) Aggregated data
- D) Clustered data
_______ index uses even less space than ______ index, but the block has to be searched, even for unsuccessful searches.
- A) Dense, sparse
- B) Sparse, dense
- C) Dense, inverted
- D) Sparse, inverted
Which of the following is not an “Orr’s Law of Data Quality”?
- A) “Data will be no better than its most stringent use!”
- B) “Data that is not used cannot be correct!”
- C) “Data duplication can be harmful for the organization!”
- D) “Data quality is a function of its use, not its collection!”
_____________ is the degree to which data accurately reflects the real-world object that the data represents.
- A) Intrinsic Data Quality
- B) Strong Data Quality
- C) Weak Data Quality
- D) Realistic Data Quality
Parallelism can be exploited, if there is:
- A) Sufficient I/O bandwidth
- B) Symmetric multi-processors (SMP)
- C) Underutilized or intermittently used CPUs
- D) All of the given options
One of the main reasons for the failure of DWH deployments is ______________.
- A) Data duplication
- B) Data anomaly
- C) Data integrity
- D) Data quality
______________ incorporates the concept of product quality, process control, quality assurance, and quality improvement.
- A) Realistic Data Quality Management
- B) Strong Data Quality Management
- C) Intrinsic Data Quality Management
- D) Total Quality Management
______________ is the extent to which data is regarded as true and credible.
- A) Completeness
- B) Accessibility
- C) Believability
- D) Consistency
In context of data parallelism, to get a speed-up of N with N partitions, it must be ensured that:
- A) Work done in each partition almost same
- B) Query-coordinator is very fast as compared to query servers
- C) There are enough computing resources
- D) All of the given options
___________is a/an measure of how current or up to date the data is.
- A) Accessibility
- B) Timeliness
- C) Completeness
- D) Consistency
_______ do not (typically) keep the index values in sorted order
- A) Sparse index
- B) Dense index
- C) B-Tree index
- D) Hash based index
________ in a database or data warehouse has no actual value; it only has potential value.
- A) Data
- B) Data marts
- C) Flat tables
- D) Entity
Which of the following is NOT one of the parallel hardware architectures?
- A) Shared Memory
- B) Symmetric Multi Processing
- C) Massively Parallel Processing
- D) Non-uniform Memory Access
The exact formula for Speed-up is:
- A) (Time on Serial Processor) / (Time on parallel processors)
- B) (Time on Serial Processor) * (Time on parallel processors)
- C) (Time on Serial Processor) + (Time on parallel processors)
- D) (Time on Serial Processor) - (Time on parallel processors)
An optimized structure which is built primarily for retrieval, with update being only a secondary consideration is
- A) DSS
- B) OLTP
- C) Inverted Index
- D) OLAP
Assume a company with a multi-million row customer table i.e. n rows. Checking for Referential Integrity (RI) using a naive approach would take _______________ time.
- A) O(1)
- B) O(log n)
- C) None of the given
- D) O(n)
Data is the “_____________” on which a Data Warehouse (DWH) runs.
- A) Element
- B) Entity
- C) Fuel
- D) Component