Question 1

GENERIC RETAILER
Observe the ER diagram for the Generic Retailer:
  Assume that the dimension PRODUCT containing the following columns:
ProductKey (surrogate key)
ProductID
ProductDescription
ProductBrandID
ProductBrandName
ProductCategoryID
ProductCategoryName
is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension.
-A user using an OLAP query (based on the dimensionally modeled data set that contains the ABC Retailer dimension PRODUCT)can drill up from ProductID to ProductCategoryID.

Accepted Answer

The PRODUCT dimension contains ProductID and ProductCategoryID, allowing the user to drill up from ProductID to ProductCategoryID. Therefore, the statement is true.

Question 2

OLAP/BI tools are designed for the analysis of dimensionally modeled data.

Accepted Answer

OLAP/BI tools are specifically designed to analyze data that has been modeled using a dimensional approach, which involves organizing information into hierarchies of categories or dimensions. This provides a fast and efficient way to perform multidimensional analysis and generate reports that offer insights into complex data relationships. Therefore, the statement is true.

Question 3

The process of deciding what to extract during the extraction process begins after the requirements and modeling stages are completed.

Accepted Answer

The process of deciding what to extract actually begins during the requirements and modeling stages, as it is crucial to understand what data is needed and how it will be used to inform the design of the extraction process.

Question 4

What is a first load?

Accepted Answer

The answer of What is a first load?...

Question 5

GENERIC RETAILER
Observe the ER diagram for the Generic Retailer:
  Assume that the dimension PRODUCT containing the following columns:
ProductKey (surrogate key)
ProductID
ProductDescription
ProductBrandID
ProductBrandName
ProductCategoryID
ProductCategoryName
is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension.
-A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill up from ProductBrandID to ProductCategoryID.

Accepted Answer

The answer of GENERIC RETAILER
Observe the ER diagram for the...

Question 6

Developing front-end applications includes creating a set of predeveloped queries and interfaces to those queries.

Accepted Answer

The answer of Developing front-end applications includes creating a set...

Question 7

The word online in the term OLAP refers to the use of the Internet or other networks.

Accepted Answer

The word "online" in OLAP does not refer to the use of the Internet or other networks. It refers to the ability to perform analysis in real-time on a live database rather than on a static, historical dataset.

Question 8

The data in fact tables is always located faster in relational implementations than in the multidimensional implementations.

Accepted Answer

This statement is false. In multidimensional implementations, data in fact tables can be organized and indexed according to the dimensions, resulting in faster access times.

Question 9

The purpose of the drill up operation is to make the granularity of the data in the query result coarser.

Accepted Answer

The purpose of the drill up operation is to move from a more detailed view to a less detailed or coarser view of the data, thereby making the granularity of the data in the query result coarser.

Question 10

What takes place during the transformation part of ETL?

Accepted Answer

The answer of What takes place during the transformation part...

Question 11

Creating a data warehouse involves using the functionalities of database management software to implement the data warehouse model as a collection of physically created and mutually connected database tables.

Accepted Answer

This statement is true. Creating a data warehouse requires building a collection of database tables that are connected and managed through database management software.

Question 12

The multidimensional database cube always has three dimensions.

Accepted Answer

The multidimensional database cube can have any number of dimensions, not necessarily limited to three.

Question 13

GENERIC RETAILER
Observe the ER diagram for the Generic Retailer:
  Assume that the dimension PRODUCT containing the following columns:
ProductKey (surrogate key)
ProductID
ProductDescription
ProductBrandID
ProductBrandName
ProductCategoryID
ProductCategoryName
is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension.
-A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill down from ProductBrandID to ProductID.

Accepted Answer

The PRODUCT dimension includes the ProductID and ProductBrandID columns, allowing users to drill down from ProductBrandID to ProductID through an OLAP query.

Question 14

Archived data from source systems is never present in the data warehouse.

Accepted Answer

Archived data from source systems can be present in the data warehouse if it is deemed valuable for analysis and decision-making. However, typically not all archived data is stored in the data warehouse as it may not be relevant or useful for business purposes.

Question 15

The process of transformation cannot involve standardizing different versions of the same data present in different data sources.

Accepted Answer

The process of transformation in data integration often involves standardizing different versions of the same data present in different data sources to ensure consistency and accuracy across the dataset.

Question 16

The purpose of the drill down operation is to make the granularity of the data in the query result finer.

Accepted Answer

The drill down operation allows users to further analyze the data by breaking down the aggregated data into more detailed information. By doing so, the granularity of the data becomes finer.

Question 17

What takes place during the load part of ETL?

Accepted Answer

The answer of What takes place during the load part...

Question 18

What takes place during the extraction part of ETL?

Accepted Answer

The answer of What takes place during the extraction part...

Question 19

GENERIC RETAILER
Observe the ER diagram for the Generic Retailer:
  Assume that the dimension PRODUCT containing the following columns:
ProductKey (surrogate key)
ProductID
ProductDescription
ProductBrandID
ProductBrandName
ProductCategoryID
ProductCategoryName
is created for the Generic Retailer.This dimension will be used for the following questions citing Generic Retailer PRODUCT dimension.
-A user using an OLAP query (based on the dimensionally modeled data set that contains the Generic Retailer dimension PRODUCT)can drill down from ProductBrandID to ProductCategoryID.

Accepted Answer

In a dimensionally modeled dataset, drilling down typically moves from a higher-level, more generalized category to a more detailed or specific category. Therefore, one would drill down from ProductCategoryID to ProductBrandID, not the other way around.

Question 20

What is a refresh load?

Accepted Answer

The answer of What is a refresh load?...

Quiz 9: Data Warehouse Implementation and Use