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Test your basic knowledge |
Certified Project Designer Cpd
Start Test
Study First
Subjects
:
certifications
,
it-skills
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Represent business performance. Typically numeric. Must be aggregated to produce a meaningful result. Are directly linked to columns in the data-warehouse.
4 tasks of the Attribute Creation Wizard
Attribute Creation Wizard good for
Schema
Facts
2. Subtotals reflect accumulations at selected attribute levels
Desktop Designer
Lookup Tables
Subtotals
3-Tier Architecture
3. Enables users to gather business insight through data analysis. It is a request for specific - formatted data from a data-warehouse.
To create a Report Prompt
To "drill down" on a report
Fact Tables
Reports
4. Compound - Homogeneous - Heterogeneous
To edit the appearance of a Graph in a report
3 types of Attributes
Rollback your changes
Report Prompts
5. Facts - Attributes - Hierarchies
Components of the Logical Data Model
3 project creation interfaces
4 parts of the Project Design Process
Notes
6. Normalized: No data redundancy - Moderately Denormalized: Some data redundancy with shared Table Keys - Completely Denormalized: Lots of data redundancy with shared Table Keys and description columns
Filter Definition Prompts
3 types of Attributes
3 Schema types
MSTR Desktop
7. Attributes - Metrics - Hierachies - Consolidations - Custom Groups - Object Prompts
Search Object
Objects you are allowed to Page-by
4 factors to consider when designing a data-warehouse schema
Components of a MSTR architecture
8. Source Systems - ETL Processes - Data-Warehouse - Metadata - MSTR Applications
4 types of Report Filters
2 methods to creating Facts
Fact Tables
Components of a MSTR architecture
9. Create an empty Metadata database - Create the Metadata DSN connection - Create the Metadata shell
To "drill down" on a report
Process for creating the Project Metadata
Very high; part of ETL process
Lookup Table structure of a completely denormalized schema
10. Enables you to further narrow down a report view - using only those objects in the report without altering the SQL of the report query. They are executed after-the-fact.
4 basic Schema objects
View Filters
Methods are there to creating Attributes
3 types of Attributes
11. ID columns - Description columns - Fact columns
3 column types of a Physical Schema
Report Subscription
Schema
Objects you are allowed to Page-by
12. A user interface for creating and maintaining a BI environment
MSTR Desktop
Report Formatting
3 Schema types
Project-level options/settings
13. OnLine Analytical Processing - Organized by dimension and business subject - uses batch loaded - reporting - read-only - spiked usage (based on time of data-warehouse loading)
Lookup Table structure of a completely denormalized schema
Attribute Relationships
To create the Project connectivity
OLAP
14. Used to dynamically alter the contents of a report. With prompts - you can determine at run-time the objects you want to retreive for a report and filtering conditions.
Heterogeneous Attribute
Report Prompts
2 options for Sorting
Search-based prompts
15. A condition data must meet in order to be included in a report. Does affect the SQL.
3 Types of Objects in MSTR Desktop
Search-based prompts
Report Filter
2 ways you can configure the Project Source to connect to the Metadata database
16. May include 1 or more functions as operators - Based on the attributes and metrics in the Report Objects window - May be Simple or Compound
MSTR Desktop
3 Types of Objects in MSTR Desktop
Components of a Derived Metric
2 ways you can configure the Project Source to connect to the Metadata database
17. The unique values of an attribute obtained from the data-warehouse
5 steps to creating a logical data model
Attribute Elements
Configuration Wizard
Stored
18. The Attribute Form Expression that maps to multiple columns from the same table. May also contain an operator (aggregation).
Factors to consider when designing a logical data model
Derived Attribute Expression
To drill through User Hierarchies
Terabytes (TB)
19. MS Excel - MS Word - MS Access - PDF - HTML - Plain text
File types are allowed for exporting a Report
Compound Attribute
To create the Project connectivity
Schema Objects
20. Must have a one-to-one relationship with all other forms.
2 types of Facts
Architect Graphical Interface
Report Filter
Attribute Forms
21. Enables you to lock column headers so that they always appear when scrolling
Locking and Resizing
Source system characteristics
3-Tier Architecture
Very high; part of ETL process
22. Attribute Creation Wizard - Attribute Editor
Simple Attribute Expression
Locking and Resizing
Attribute Relationships
Methods are there to creating Attributes
23. Filter definition prompts - Object prompts - Value prompts - Level prompts
4 types of Prompts
The System
Project
MSTR OLAP Services
24. The logical associations between attributes that exist based on a business rule
4 properties you must know in order to create attributes using the Attribute Editor
2-Tier Architecture
Attribute Relationships
Configuration Wizard
25. Contains info that facilitates the transfer of data from the source systems to the data-warehouse
Process for creating the Project Metadata
Derived Attribute Expression
To edit the appearance of a Graph in a report
ETL process
26. A new tool for project design tasks - used for fine-tuning a project after initial creation
Using a Search Object
Facts
Nested Metrics
Architect Graphical Interface
27. roject Creation Assistant - Schema Object Editor - Architect Graphical Interface
Reports
3 project creation interfaces
MSTR Desktop
Desktop Designer
28. Less storage - Simple SQL - Complex ETL
Simple Attribute Expression
4 types of Prompts
Characteristics of a Simple Table Key
To "drill down" on a report
29. Store info on relationships between 2 or more tables (attributes) - like an Index table.
Project
Warehouse Catalog
4 properties you must know in order to create attributes using the Attribute Editor
Relationship Tables
30. Level of OLAP integration
Desktop Architec
Facts
Very high; part of ETL process
Simple Attribute Expression
31. Formula - Level (Dimensionality) - Conditionality - Transformation
Configuration Wizard
Components of a Metric
Required on the report for Outline Model to work
View Filter
32. 1 - List info from the data source 2 - Identify facts 3 - Identify attributes 4 - Determine direct attribute relationships 5 - Organize hierarchies
Highest-level attributes
To edit the appearance of a Graph in a report
2 types of Attribute Expression
5 steps to creating a logical data model
33. It contains the ID column of all higher-level attributes
Lookup Table structure of a moderately denormalized schema
File > Email Reports As
Report Subscription
Attributes
34. Simple: Single column unique identifier - Compound: 2 or more columns per unique identifier
Drilling
2-Tier Architecture
Table Keys
2 types of Table Keys
35. What tool do you use to create the Metadata DSN connection?
Attribute Relationships
By default
Warehouse Catalog
MSTR Connectivity Wizard
36. Objects that map directly back to the data-warehouse. Can be used directly or used to build objects pulled onto reports
Attribute Elements
To "drill down" on a report
2 components of a Physical Schema
Schema Objects
37. Simple - Nested - Compound - Numeric Constants - Simple metrics with levels - conditions or transformations as part of their definition
Rollback your changes
Reports
Compound Attribute
Components of Compound Metrics
38. You must select "Other directions" when drilling attributes while viewing a report
To drill through User Hierarchies
Value Prompts
3 components of a Report
Application Objects
39. OLTP data storage measure
Schema Objects
2 types of Fact Expressions
2 components of a Physical Schema
Gigabytes (GB)
40. You can _____________ in the Architect Graphical Interface.
Stored
2 types of Table Keys
Default Project folder structure
Rollback your changes
41. Needed to create other application objects - like reports or documents - such as templates - filters - metrics - etc.
Derived Metrics
Application Objects
4 parts of the Project Design Process
Project Source
42. Level of OLTP integration
Factors to consider when designing a logical data model
Attributes
Minimal or none
Components of a Derived Metric
43. You can save your auto-style from the Top Menu > Grid > Save AutoStyle As...
To save a Report Format
Highest-level attributes
2 methods to creating Facts
Derived Attribute Expression
44. Made up of attributes - facts - metrics - etc. that make up the Metadata. All project info is stored in the Metadata.
Stored
Types of drilling
Schema
2 types of Attribute Expression
45. OLTP retains data ________
3 types of Attributes
Page-by
Short-term (2 - 6 months)
Attribute Forms
46. A shortcut to an existing Object in a Project
File types are allowed for exporting a Report
Attribute Forms
Notes
Shortcut in MSTR Desktop
47. Reduced number of JOINS in the generated SQL
Configuration Wizard
Advantage of a completely denormalized schema
Value Prompts
Tasks when defining a User Hierarchy
48. More storage - Complex SQL - Simple ETL
Report Prompts
2 components of a Physical Schema
Nested Metrics
Characteristics of a Compound Table Key
49. Primary keys
2 types of Fact Expressions
Attribute Forms
Table Keys
2-Tier Architecture
50. Simple: 1 fact to 1 column - Derived: 1 fact to an expression that combines multiple facts to create a derived expression
Drilling
User Hierarchies
Project-level options/settings
2 types of Fact Expressions