Machine-translated by Google. Questions are authored in English.
Top

Data Warehousing Questions and Answers

21.

Every key used to join the fact table with a dimensional table should be a surrogate key.

Answer: A

Correct answer: True

A surrogate key is a meaningless integer generated for the warehouse, and using one insulates the schema from the operational keys, which may be reused, may change format, or may collide between source systems. It also makes possible the slowly changing dimension, where several rows describe the same real entity at different times.

Please log in or register to report this question.

Answer: B

Correct answer: A process to load the data in the data warehouse and to create the necessary indexes

Load and index is the final stage of ETL, placing the transformed data into the warehouse and building the indexes that queries will use. Building the indexes after the load rather than before is deliberate: maintaining them during a bulk load would be far slower.

Please log in or register to report this question.

23.

A star schema has what type of relationship between a dimension and fact table?

Answer: C

Correct answer: One-to-many

Each row of a dimension - one product, one date, one store - relates to many rows of the fact table, and each fact row points to exactly one row of each dimension. That is what gives the star its shape, with the fact table at the centre surrounded by its dimensions.

Please log in or register to report this question.

24.

Star schema is suited to online transaction processing, and therefore is generally used in operational systems, operational data stores, or an EDW.

Answer: B

Correct answer: False

The star schema is designed for analytical querying, not for transaction processing. Its denormalised dimensions make queries fast and updates awkward, which is exactly the wrong balance for an operational system - those use normalised designs, and an enterprise warehouse uses a normalised reconciled layer as well.

Please log in or register to report this question.

Answer: B

Correct answer: A system that is used to run the business in real time and is based on current data.

An operational system records transactions as they happen, so it holds current data and is optimised for many small reads and writes. A warehouse is the opposite on both counts: historical data, optimised for large analytical queries, and used to support decisions rather than to run the business.

Please log in or register to report this question.

26.

Periodic data are data that are physically altered once added to the store.

Answer: B

Correct answer: False

Periodic data are never physically altered once added: a change produces a new record and the old one remains, which is what preserves history. Data that are altered in place are transient, and the statement has given the definition of the one under the name of the other.

Please log in or register to report this question.

27.

Most operational systems are based on the use of transient data.

Answer: A

Correct answer: True

An operational system needs the current state and overwrites the old value with the new, which is transient behaviour. This is precisely why history has to be captured elsewhere: by the time an analyst wants last year’s address, the operational system no longer holds it.

Please log in or register to report this question.

28.

A data mart is designed to optimize the performance for well-defined and predicable uses.

Answer: A

Correct answer: True

A data mart serves one department or function, so its uses are known in advance and its structure can be tuned for them - the aggregations precomputed and the indexes chosen for the queries that will actually be asked. That is the trade against an enterprise warehouse, which must serve queries nobody has thought of yet.

Please log in or register to report this question.

Answer: D

Correct answer: All of the above.

The active warehouse architecture is distinguished by near real-time updating, which is what allows it to support operational decisions rather than only strategic ones. It retains the features of the earlier architectures - extraction from many internal and external sources, and dependent data marts for particular user groups.

Please log in or register to report this question.

30.

Independent data marts are often created because an organization focuses on a series of short-term business objectives.

Answer: A

Correct answer: True

Independent marts get built because a department needs an answer this quarter and the enterprise warehouse will take two years. The result is the fragmentation the warehouse was meant to cure - several marts with inconsistent definitions and no common reconciled layer beneath them.

Please log in or register to report this question.

Loading…
Tags: Data Warehousing Questions and Answers || Data Warehousing MCQ Questions and Answers || Data Warehousing GK Questions and Answers || Data Warehousing GK MCQ Questions || Data Warehousing Multiple Choice Questions and Answers || Data Warehousing GK || GK on Data Warehousing || Database Questions and Answers || Database MCQ Questions and Answers || Database GK Questions and Answers || GK on Database