1. Analytical queries on the dimensionally modeled database can be significantly simpler to create than on the equivalent nondimensional database.

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1 1. 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. Question 2 1. A dimensional model cannot be based on a single source. Question 3 1. In a typical, properly designed star schema, the number of records (rows) in any of the dimension tables is: Larger than in the fact table Same as in the fact table Smaller than in the fact table No typical rule there is an even number of dimension tables with larger, smaller and same number of records as in the fact table Question 4 1. Analytical queries on the dimensionally modeled database can be significantly simpler to create than on the equivalent nondimensional database. Question 5 1. The TCL commands are used by the business end users of a database system.

2 Question 6 1. Regular monitoring helps the DBA recognize instances when maintenance activities are needed. Question 7 1. Querying and presenting data from data warehouses and/or data marts for analytical purposes is known as: ETL OLAP OLTP Micro batches Question 8 1. The data dictionary created by the is often referred to as the catalog. TCL DML DCL DBMS Question 9 1. Developing front-end applications includes creating a set of predeveloped queries and interfaces to those queries. Question The data manipulation component is a part of every DBMS package.

3 Question Independent data marts approach can be used for designing an enterprise-wide analytical data warehouse. Question Independent data marts approach results in multiple unrelated ETL infrastructures. Question The data manipulation DBMS component uses the SQL commands from the DCL category. Question OLAP/BI tools are designed for the analysis of dimensionally modeled data. Question In a role-based access control system, users can be assigned several database roles. Question 16

4 1. All sources for a dimensional model must be operational data sources from the company that is building the dimensional model. Question Archived data from source systems is never present in the data warehouse. Question The set of processes that is used to populate the data warehouse tables with the appropriate relevant data retrieved from the operational databases is known as: BI ETL OLAP OLTP Question Data cleansing is a part of: OLAP Extraction Transformation Load Question A dimensional model can contain more than one fact table.

5 Question The application development component provides functionalities to the developers of: Database models Security and backup procedures Data dictionaries Front-end applications Question Due to multiple subjects of analysis sharing dimensions, the following occurs: A star schema is composed strictly of fact tables A dimensional model contains more than one fact table Some dimensions are eliminated All dimensions are reduced Question Dimensional modeling can be employed as a relational data modeling technique. Question Dimensionally modeled data warehouse approach can be used for designing an enterprise-wide analytical data warehouse. Question Dimensionally modeled data warehouse approach results in multiple unrelated ETL infrastructures.

6 Question If, during the use of the database system, it becomes apparent that a new relation needs to be added to the database, the decision to add the new relation to the database will rest with the: Database developer DBA End user DBMS software developer Question Aggregated fact tables have a finer level of granularity than detailed tables. Question In a role-based access control system, the membership of users in roles cannot change. Question Typically, in a star schema all are given a simple, non-composite system-generated key, also called a surrogate key. Fact tables Dimension tables Time columns Transaction identifiers Question The DCL commands are used by the business end users of a database system.

7 Question The multidimensional database cube always has three dimensions. Question The data manipulation DBMS component is used: By end users, directly only By end users, via front-end applications only By end users, either directly or via front-end applications By no end users Question Which of the following is NOT a data administration task? Monitoring and maintaining the database system Securing the database against unauthorized access Creating a conceptual database model Providing database backup and recovery Question OLAP tools are: Write-only tools Read-only tools Read and write tools Read, write, and delete tools Question 35

8 1. In addition to giving each record of a dimension a new value that serves as a primary key within the dimensional model instead of the operational key value, surrogate key values contain additional information about each record in the dimension. Question OLAP/BI tools can be used for: Ad-hoc direct analysis only Creation of front-end (BI) applications only Ad-hoc direct analysis and creation of front-end (BI) applications Neither ad-hoc direct analysis nor creation of front-end (BI) applications Question The slowly changing dimension approach creates a new additional dimension record using a new value for the surrogate key every time a value in a dimension record changes. Type 0 Type 1 Type 2 Type 3 Question In a typical, properly designed star schema, the number of records (rows) in any of the dimension tables is: Larger than in the fact table Same as in the fact table No typical rule there is an even number of dimension tables with larger, smaller and same number of records as in the fact table Smaller than in the fact table Question 39

9 1. The key goals for the change data capture subsystem are Capture all changes made to the source data, including changes made through non standard interfaces. Support compliance tracking with additional metadata. Both a and b None of the above Question The goal of a Surrogate Key Generator is to generate a meaningless key, typically an integer, to serve as the primary key for a dimension row. Question The Primary Value chain of an insurance company is seemingly short and simple. The core processes are to Issue Policies Collect Premium Payments Process Claims All the above Question When drafting an enterprise data warehouse Bus Matrix Include all the dimensions Include only the core common dimensions that are reused Only include Premium Snapshot None of the above Question The Granularity of a monthly policy premium snapshot fact table is One row per coverage and covered item on a policy each month One row for each individual policy transaction

10 Both a and b None of the above Question This resource likely comes from a transactional data background with heavy emphasis on normalization. This person should embrace dimensional modeling concepts. Data architect / modeler Database administrator ETL designer ETL developer Question This subject matter expert is often the current go-to resource for Ad-hoc analysis. Data Steward Project Manager Business Lead All the above Question Contrary to popular belief, adding more hardware is the best weapon in the performance tuning arsenal. Leveraging aggregate tables is very costly. Question In DW/BI Projects, you should pay more attention to back room operational performance and ease of development than to front room query performance and ease of use.

11 Question 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. Question The numeric measurements delivered from an operational business process source belong in the Dimension Table Question You should resist the urge to snowflake a hierarchy by generating a set of progressively smaller sub dimension tables.