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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. A condition data must meet - created "on-the-fly" - in order to be included in a report. Does not affect the SQL.
User Hierarchies
View Filter
Source system characteristics
Short-term (2 - 6 months)
2. Enables you to rearrange the columns and rows in a report.
Highest-level attributes
Desktop Designer
Data Pivoting
Facts
3. Formula - Level (Dimensionality) - Conditionality - Transformation
Derived Attribute Expression
2 ways you can configure the Project Source to connect to the Metadata database
Components of a Metric
Attribute Relationships
4. Simple: Single column unique identifier - Compound: 2 or more columns per unique identifier
Report Template
4 basic Schema objects
2 types of Table Keys
Shortcut in MSTR Desktop
5. Descriptive data that provides context for Facts.
Minimal or none
Different methods for creating Page-by fields
ID form
Attribute Forms
6. Folder List - Object Viewer - Shortcut Bar
Advantage of a completely denormalized schema
File > Email Reports As
3 Sections of the MSTR Desktop interface
3 column types of a Physical Schema
7. It creates the System Hierarchy - when you define Attributes and their corresponding relationships
Metrics
The System
4 types of Prompts
Drilling
8. roject Creation Assistant - Schema Object Editor - Architect Graphical Interface
4 types of Report Filters
4 factors to consider when designing a data-warehouse schema
Lookup Table structure of a moderately denormalized schema
3 project creation interfaces
9. AND - OR - OR NOT - AND NOT
Value Prompts
Fact Expression
Desktop Architec
Report Filter operators
10. Grid View - Graph View - Grid/Graph View - SQL View
Display views you can Print by
Factors to consider when designing a logical data model
ID form
Characteristics of a Simple Table Key
11. The Attribute Form maps to the same column name in multiple tables
Homogeneous Attribute
To "drill down" on a report
Data Pivoting
Terabytes (TB)
12. Specifies what info to retrieve from a data-warehouse - and how to display it
Fact Expression
Report Template
Filter Definition Prompts
To qualify a Metric in a Set Qualification
13. User reporting requirements - Query performance - Data volume - DB Maintenance
ETL
Logical Data Model
4 factors to consider when designing a data-warehouse schema
Tasks when defining a User Hierarchy
14. OLTP retains data ________
4 properties you must know in order to create attributes using the Attribute Editor
Lookup Table structure of a completely normalized schema
Short-term (2 - 6 months)
2 types of Table Keys
15. A subset of a report that users can manipulate without altering the SQL
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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
OLTP
Desktop Administrative Functions
'View of a Report'
Components of a Derived Metric
17. An environment in which the MSTR Desktop connects to the MSTR Intelligence Server (or iServer) - which connects to the Metadata database.
Report Prompts
Project Creation Wizard
The System
3-Tier Architecture
18. Homogeneous - Heterogeneous
2 types of Facts
MSTR applications
Notes
Outline Mode
19. A condition data must meet in order to be included in a report. Does affect the SQL.
Report Filter
Attribute or its relationship(s)
Table Keys
Terabytes (TB)
20. Enables you to lock column headers so that they always appear when scrolling
Attribute Forms
Unlimited
Locking and Resizing
To save a Report Format
21. Direct: A parent > child relationship - Indirect: 2 or more attributes are related only through a fact or set of facts
2 types of Attribute Relationships
Object Prompts
Rollback your changes
2 methods to creating Facts
22. Used to limit a possibly overwhelming set of potential prompt answers
Cannot create project objects
3 types of Attributes
Search-based prompts
Search Object
23. Subtotals reflect accumulations at selected attribute levels
Subtotals
Cannot create project objects
Compound Metric
Configuration Wizard
24. Simple: 1 fact to 1 column - Derived: 1 fact to an expression that combines multiple facts to create a derived expression
Configuration Wizard
Fact Tables
Attribute Relationships
2 types of Fact Expressions
25. Metrics aggregate on the lowest-level attribute __________.
By default
MSTR OLAP Services
Hierarchies
Locking and Resizing
26. Facts associated to different column names in 2 or more tables
Banding
4 factors to consider when designing a data-warehouse schema
Schema Objects
Heterogeneous Fact
27. Used to modify a Report
Subtotals
Report Editor
View Filter
2 options for Sorting
28. OLTP data storage measure
Factors to consider when designing a logical data model
Relationship Tables
MSTR Connectivity Wizard
Gigabytes (GB)
29. Represent business performance. Typically numeric. Must be aggregated to produce a meaningful result. Are directly linked to columns in the data-warehouse.
ETL
Facts
Shortcut Bar
Attribute Forms
30. The unique values of an attribute obtained from the data-warehouse
Lookup Table structure of a completely normalized schema
Level Prompts
Attribute Elements
Desktop Designer
31. 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
5 steps to creating a logical data model
Types of drilling
Characteristics of a Compound Table Key
Report Formatting
32. You must select "Other directions" when drilling attributes while viewing a report
Data warehouse characteristics
Simple Attribute Expression
OLAP
To drill through User Hierarchies
33. User requirements - Existing source data - Technical and performance considerations
2-Tier Architecture
Factors to consider when designing a logical data model
Schema Object Editor
Report Prompts
34. Enables you to search for a specific Object or group of Objects that meet a certain criteria.
Lookup Tables
Aggregate a Metric
2 components of a Physical Schema
Search Object
35. It contains the ID column of all higher-level attributes
Components of the Logical Data Model
Lookup Table structure of a moderately denormalized schema
3 Sections of the MSTR Desktop interface
Characteristics of a Compound Table Key
36. How users can share comments for reports to other users
Facts
Types of analysis you can perform with OLAP Services
Notes
Aggregate a Metric
37. 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
MSTR applications
Warehouse Catalog
2 types of Facts
3 Schema types
38. A feature that enables users to delivers reports to the history list - cache or mobile
'View of a Report'
ID form
Report Subscription
Reference Report Objects
39. Enables users to gather business insight through data analysis. It is a request for specific - formatted data from a data-warehouse.
The 3 MSTR Tools
Reports
Search-based prompts
Sorting
40. Filter definition prompts - Object prompts - Value prompts - Level prompts
Table Keys
4 types of Prompts
View Filter
Schema
41. Create the Project Source - Create the Database Instance
Filter Definition Prompts
3-Tier Architecture
Report Filter operators
To create the Project connectivity
42. The intersection between a data-warehouse - Metadata repository and a user community. It contains objects such as reports - filters - templates and metrics.
Terabytes (TB)
Search-based prompts
Data warehouse characteristics
Project
43. Simple - Derived
2 types of Attribute Expression
Heterogeneous Attribute
Objects you are allowed to Page-by
3 Methods of MSTR Desktop navigation
44. A new tool for project design tasks - used for fine-tuning a project after initial creation
Architect Graphical Interface
'View of a Report'
View Filters
2 methods to creating Facts
45. ID columns - Description columns - Fact columns
MSTR applications
Page-by
ETL process
3 column types of a Physical Schema
46. Cube analysis - Derived elements - In-memory OLAP with use of report objects - View filters - Derived metrics
Types of analysis you can perform with OLAP Services
Fact Expression
2 components of a Physical Schema
Report Formatting
47. Using the Prompt Generation Wizard - Inside the Report Editor
To create a Report Prompt
Desktop Designer
Compound Metric
Terabytes (TB)
48. Reduced number of JOINS in the generated SQL
The System
OLTP
Aggregate a Metric
Advantage of a completely denormalized schema
49. 1 - List info from the data source 2 - Identify facts 3 - Identify attributes 4 - Determine direct attribute relationships 5 - Organize hierarchies
3 components of a Report
To "drill down" on a report
Characteristics of Nested Metrics
5 steps to creating a logical data model
50. Facts - Attributes - Hierarchies
Filter Definition Prompts
Aggregate a Metric
Components of the Logical Data Model
Heterogeneous Attribute