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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. It contains the ID and DESC columns of all higher-level attributes
Compound Attribute
Lookup Table structure of a completely denormalized schema
2 types of Facts
2 types of Attribute Expression
2. Top menu > View > Page-by - Drag-&-Drop categories onto the Page-by field window - Right-click a category and "move" to Page-by field
Filter Definition Prompts
2-Tier Architecture
Different methods for creating Page-by fields
2 types of Attribute Relationships
3. Creating multiple attributes quickly. Used during the initial project creation.
Fact Tables
Attribute Creation Wizard good for
Tasks when defining a User Hierarchy
Project-level options/settings
4. 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
3 Schema types
Attribute Forms
Search-based prompts
Source system characteristics
5. Subtotals reflect accumulations at selected attribute levels
Lookup Table structure of a moderately denormalized schema
User Hierarchies
Subtotals
Characteristics of Nested Metrics
6. How users can share comments for reports to other users
Notes
Attribute Forms
Physical Schema
Default Project folder structure
7. An add-on product to the Intelligence Server to greatly enhance the type of analysis you can perform
MSTR OLAP Services
2 methods to creating Facts
OLTP
2 types of Facts
8. A condition data must meet - created "on-the-fly" - in order to be included in a report. Does not affect the SQL.
5 steps to creating a logical data model
View Filter
Attribute Relationships
Fact Expression
9. A detailed - graphical representation of the physical structure of a database. Usually based on a logical data model.
Physical Schema
Metrics
Heterogeneous Attribute
Derived Attribute Expression
10. 1 - Form definition 2 - Form general info 3 - Form category 4 - Form format
File > Email Reports As
Banding
Schema
4 properties you must know in order to create attributes using the Attribute Editor
11. Fact Creation Wizard: Used to create simple - homogeneous facts - Fact Editor: Used to create derived - heterogeneous facts
2 methods to creating Facts
Homogeneous Attribute
Desktop Designer
Lookup Table structure of a completely denormalized schema
12. roject Creation Assistant - Schema Object Editor - Architect Graphical Interface
Minimal or none
Characteristics of Nested Metrics
3 project creation interfaces
Locking and Resizing
13. Data is read-only - Data is aligned by business subject - Data formatting is uniform - Data is long-term data (2-5+ years)
Data warehouse characteristics
Lookup Table structure of a moderately denormalized schema
To "drill down" on a report
Attribute Relationships
14. 1 - Quick Sort: Only accessible from Grid view 2 - Advanced Sort: Available in Grid or Graph views
Level Prompts
Banding
2 options for Sorting
Project Creation Wizard
15. Objects that map directly back to the data-warehouse. Can be used directly or used to build objects pulled onto reports
2-Tier Architecture
5 Report display views
Schema Objects
MSTR applications
16. Template - Filter - View of a Report
Object Prompts
3 components of a Report
MSTR Desktop Architect
2-Tier Architecture
17. Schema Objects - Application Objects - Configuration Objects
3 Types of Objects in MSTR Desktop
2 types of Attribute Relationships
Source system characteristics
Highest-level attributes
18. A full-featured version that enables Report Developers to design complex and sophisticated reports and documents
Desktop Designer
Simple Metrics
Nested Metrics
Factors to consider when designing a logical data model
19. Store info about attributes - including IDs and any descriptions. Used for easier browsing.
Lookup Tables
Source system characteristics
2 types of Facts
The 3 MSTR Tools
20. May include 1 or more functions as operators - Based on the attributes and metrics in the Report Objects window - May be Simple or Compound
The 3 MSTR Tools
4 factors to consider when designing a data-warehouse schema
Components of a Derived Metric
Locking and Resizing
21. Prompts to select filtering criteria from hierarchies - attributes - attribute element lists - and metrics.
Filter Definition Prompts
2 options for Sorting
To create the Project connectivity
Components of a MSTR architecture
22. Grid View - Graph View - Grid/Graph View - SQL View
MSTR Desktop
Display views you can Print by
Shortcut Bar
Hierarchies
23. Tables that contain fact data and attribute ID columns that describe the level at which the fact values are recorded
2 types of Fact Expressions
Fact Tables
5 steps to creating a logical data model
Search Object
24. Create the Project Source - Create the Database Instance
Architect Graphical Interface
Physical Schema
The 3 MSTR Tools
To create the Project connectivity
25. Up: To see data at a higher-level attribute of the same hierarchy - Down: To see data at a lower-level attribute of the same hierarchy - Other Directions: To see data at any level of any hierarchy
Types of drilling
Minimal or none
Unlimited
Terabytes (TB)
26. User reporting requirements - Query performance - Data volume - DB Maintenance
4 factors to consider when designing a data-warehouse schema
Heterogeneous Fact
Fact Tables
Attribute Forms
27. Level of OLAP integration
Attributes
Very high; part of ETL process
Components of Compound Metrics
2 types of Attribute Relationships
28. The actual column name for a fact. Every fact must have at least 1 expression.
Page-by
Fact Expression
Fact Tables
Minimal or none
29. Combining 1 or more metric objects with 1 or more mathematical operations or constants. May include simple - nested or other compound metrics.
MSTR Connectivity Wizard
OLAP
Compound Metric
5 Report display views
30. MS Excel - MS Word - MS Access - PDF - HTML - Plain text
Object Prompts
File types are allowed for exporting a Report
Advantage of a completely denormalized schema
Lookup Tables
31. The intersection between a data-warehouse - Metadata repository and a user community. It contains objects such as reports - filters - templates and metrics.
Relationship Tables
Unlimited
4 parts of the Project Design Process
Project
32. Descriptive data that provides context for Facts.
Attribute Forms
Heterogeneous Fact
Attribute Relationships
Object Prompts
33. A connection to the Metadata database. It's also the highest icon in the folder list window of Desktop.
To create the Project connectivity
Limitations of the Attribute Creation Wizard
Schema Objects
Project Source
34. It contains the ID column of all higher-level attributes
2 ways you can configure the Project Source to connect to the Metadata database
Object Prompts
Lookup Table structure of a moderately denormalized schema
4 properties you must know in order to create attributes using the Attribute Editor
35. Simple - Compound - Nested - Derived
3 column types of a Physical Schema
4 types of Metrics
The 3 MSTR Tools
Types of drilling
36. What tool do you use to create the Metadata DSN connection?
2 types of Attribute Expression
4 types of Metrics
Heterogeneous Attribute
MSTR Connectivity Wizard
37. Groupings of directly related attributes. Also commonly known as "dimensions".
Hierarchies
By default
Lookup Table structure of a completely denormalized schema
MSTR Desktop
38. Metrics aggregate on the lowest-level attribute __________.
Process for creating the Project Metadata
Nested Metrics
By default
Desktop Architec
39. Level of OLTP integration
Minimal or none
2 types of Fact Expressions
To save a Report Format
Fact Expression
40. Used to "fine-tune" your Project
Relationship Tables
Components of the Logical Data Model
Aggregate a Metric
Architect Graphical Interface
41. Data is read/write - Data is assigned by application - Data formatting may not be uniform - Data may be limited to recent/current data
Methods are there to creating Attributes
Heterogeneous Fact
Characteristics of a Compound Table Key
Source system characteristics
42. The report will retreive data for all Objects under the report definition (regardless of whether or not they exist on the template)
Report Objects
Characteristics of Nested Metrics
4 properties you must know in order to create attributes using the Attribute Editor
MSTR Desktop
43. The Attribute Form Expression that maps to a single column - no matter the number of tables
4 factors to consider when designing a data-warehouse schema
2 types of Facts
Tasks when defining a User Hierarchy
Simple Attribute Expression
44. AND - OR - OR NOT - AND NOT
Architect Graphical Interface
Lookup Table structure of a completely denormalized schema
Report Filter operators
Different methods for creating Page-by fields
45. A subset of a report that users can manipulate without altering the SQL
46. The default entry-points.
Fact Tables
To drill through User Hierarchies
The 3 MSTR Tools
Highest-level attributes
47. OLTP data storage measure
Gigabytes (GB)
Limitations of the Attribute Creation Wizard
View Filters
Value Prompts
48. Display: On a report or in Data Explorer - Sorting: Sort report data using attribute forms - Qualifications: To filter on the elements of any attribute form
3 functions of Attribute Forms
ETL process
Homogeneous Attribute
View Filters
49. Homogeneous - Heterogeneous
MSTR applications
2 types of Facts
The System
Report Template
50. Enables you to select which tables from the data-warehouse to store in the Metadata database
Configuration Wizard
Table Keys
Report Prompts
Warehouse Catalog