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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. 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
3 column types of a Physical Schema
Components of a MSTR architecture
Minimal or none
2. A user interface for creating and maintaining a BI environment
Minimal or none
MSTR Desktop
Attribute Forms
Nested Metrics
3. Metrics you create within a report using only those objects in the report.
Highest-level attributes
Attribute Relationships
File > Email Reports As
Derived Metrics
4. Define the analytical calculations to perform on the data-warehouse. Made up of Facts.
Metrics
Architect Graphical Interface
The 3 MSTR Tools
2 types of Attribute Relationships
5. A method of organizing the appearance of report results in a Grid report based on a criteria
2 types of Attribute Relationships
Banding
Facts
Components of a Metric
6. Represent business performance. Typically numeric. Must be aggregated to produce a meaningful result. Are directly linked to columns in the data-warehouse.
Facts
Attribute Creation Wizard good for
Short-term (2 - 6 months)
4 types of Metrics
7. Creating multiple attributes quickly. Used during the initial project creation.
Process for creating the Project Metadata
Report Definitions
Shortcut in MSTR Desktop
Attribute Creation Wizard good for
8. Simple: Single column unique identifier - Compound: 2 or more columns per unique identifier
4 types of Report Filters
Derived Metrics
2 types of Table Keys
Components of Compound Metrics
9. To change the display of a report - including alignments - fonts - borders and backgrounds. You can format report headers - values or both.
2 types of Table Keys
3 functions of Attribute Forms
Report Formatting
Schema
10. The Attribute Form Expression that maps to a single column - no matter the number of tables
To qualify a Metric in a Set Qualification
Simple Attribute Expression
3 Methods of MSTR Desktop navigation
Project
11. More storage - Complex SQL - Simple ETL
Report Subscription
4 tasks of the Attribute Creation Wizard
Desktop Analyst
Characteristics of a Compound Table Key
12. Define browsing attributes - Set entry-points - Set element display - Define attribute filters - Configure for drilling - Define the sort order for browsing - Define the sort order for drilling
Desktop Analyst
Reference Report Objects
Unlimited
Tasks when defining a User Hierarchy
13. Formula - Level (Dimensionality) - Conditionality - Transformation
Advantage of a completely denormalized schema
3 Schema types
Report Subscription
Components of a Metric
14. A development environment to create BI applications - allowing users to edit the Metadata database
3 Sections of the MSTR Desktop interface
Desktop Architec
Attribute or its relationship(s)
Characteristics of a Compound Table Key
15. Grid View - Graph View - Grid/Graph View - SQL View
Report Formatting
Display views you can Print by
ETL process
Search Object
16. Enables users to gather business insight through data analysis. It is a request for specific - formatted data from a data-warehouse.
MSTR applications
4 factors to consider when designing a data-warehouse schema
File types are allowed for exporting a Report
Reports
17. Simple - Nested - Compound - Numeric Constants - Simple metrics with levels - conditions or transformations as part of their definition
Sample Metrics commonly performed on Facts
4 factors to consider when designing a data-warehouse schema
ETL process
Components of Compound Metrics
18. SUM - AVG - Standard Deviation - Moving Average - Correlation - U-tiling
Sample Metrics commonly performed on Facts
Factors to consider when designing a logical data model
2 types of Attribute Relationships
Reports
19. A condition data must meet - created "on-the-fly" - in order to be included in a report. Does not affect the SQL.
View Filter
2 components of a Physical Schema
Components of the Logical Data Model
To save a Report Format
20. Extraction - transformation - loading
ETL
Desktop Analyst
Heterogeneous Attribute
Components of a MSTR architecture
21. Enables you to search for a specific Object or group of Objects that meet a certain criteria.
Search Object
Attribute Relationships
3 Types of Objects in MSTR Desktop
Methods are there to creating Attributes
22. Right-click on the attribute - Double-click it - Click the drill icon from the Toolbar
3 Schema types
Derived Metrics
To "drill down" on a report
2 components of a Physical Schema
23. 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
Lookup Table structure of a completely normalized schema
MSTR OLAP Services
Attribute or its relationship(s)
Types of drilling
24. Groupings of directly related attributes. Also commonly known as "dimensions".
Search Object
Hierarchies
Highest-level attributes
Attributes
25. The default entry-points.
Highest-level attributes
To drill through User Hierarchies
Characteristics of Nested Metrics
Stored
26. Metrics that perform multiple aggregations; one calculation inside of another.
Lookup Table structure of a completely denormalized schema
Using a Search Object
4 types of Prompts
Nested Metrics
27. Made up of attributes - facts - metrics - etc. that make up the Metadata. All project info is stored in the Metadata.
Configuration Wizard
Simple Metrics
Short-term (2 - 6 months)
Schema
28. A simplified version of Desktop - providing interactive "slice-&-dice" capabilities
Desktop Analyst
Schema
Factors to consider when designing a logical data model
2 types of Attribute Expression
29. Facts associated to different column names in 2 or more tables
'View of a Report'
View Filters
Heterogeneous Fact
Simple Metrics
30. The Attribute Form maps to the same column name in multiple tables
Tasks when defining a User Hierarchy
Types of drilling
2-Tier Architecture
Homogeneous Attribute
31. Create attribute ID form - Create attribute description forms - Select lookup table(s) - Create attribute relationships
4 tasks of the Attribute Creation Wizard
Metrics
Search Object
MSTR applications
32. An environment in which the MSTR Desktop connects to the MSTR Intelligence Server (or iServer) - which connects to the Metadata database.
3 Schema types
3-Tier Architecture
Warehouse Catalog
4 types of Report Filters
33. All report-level options overwrite ___________.
Project-level options/settings
Compound Metric
By default
The System
34. Facts are _____ in the data-warehouse. In MSTR - you created fact schema objects which reference those facts stored in the warehouse
Stored
3 Methods of MSTR Desktop navigation
Derived Attribute Expression
Characteristics of a Simple Table Key
35. Simple: 1 fact to 1 column - Derived: 1 fact to an expression that combines multiple facts to create a derived expression
Attributes
2 types of Fact Expressions
Components of a Derived Metric
To create the Project connectivity
36. Enables you to format report values based on a condition - such as highlights - font colors - etc.
Report Filter operators
Schema Object Editor
3-Tier Architecture
Thresholding
37. An environment in which the MSTR Desktop connects directly to the Metadata database.
Heterogeneous Attribute
Logical Data Model
Very high; part of ETL process
2-Tier Architecture
38. All Attributes must have an _______.
ID form
3 Methods of MSTR Desktop navigation
Derived Attribute Expression
Homogeneous Attribute
39. The intersection between a data-warehouse - Metadata repository and a user community. It contains objects such as reports - filters - templates and metrics.
4 basic Schema objects
ETL process
Lookup Table structure of a completely normalized schema
Project
40. Cube analysis - Derived elements - In-memory OLAP with use of report objects - View filters - Derived metrics
Compound Metric
Very high; part of ETL process
Types of analysis you can perform with OLAP Services
2 ways you can configure the Project Source to connect to the Metadata database
41. Level of OLAP integration
Report Template
2 methods to creating Facts
Very high; part of ETL process
4 factors to consider when designing a data-warehouse schema
42. Specifies what info to retrieve from a data-warehouse - and how to display it
User Hierarchies
Report Template
Architect Graphical Interface
OLTP
43. Architect Graphical Interface _____________ - Does not support transformations or other advanced architect techniques - Does not auto-save
Types of drilling
Components of Compound Metrics
Cannot create project objects
Fact Expression
44. Data is read/write - Data is assigned by application - Data formatting may not be uniform - Data may be limited to recent/current data
MSTR Desktop
Lookup Table structure of a completely denormalized schema
Source system characteristics
Relationship Tables
45. One that uses 2 or more columns as its ID
Factors to consider when designing a logical data model
Drilling
Report Formatting
Compound Attribute
46. Used to limit a possibly overwhelming set of potential prompt answers
Using a Search Object
To save a Report Format
Long-term (2 - 5 years)
Search-based prompts
47. OnLine Analytical Processing - Organized by dimension and business subject - uses batch loaded - reporting - read-only - spiked usage (based on time of data-warehouse loading)
OLAP
Simple Metrics
Project Creation Wizard
Lookup Table structure of a completely denormalized schema
48. Based on facts or attributes - Place at least 1 aggregation inside of another - Include 1 or more level definitions - May include 1 or more conditions - May include 1 or more transformations
4 types of Metrics
2 types of Fact Expressions
Architect Graphical Interface
Characteristics of Nested Metrics
49. OLTP data storage measure
Components of the Logical Data Model
4 tasks of the Attribute Creation Wizard
Attribute Forms
Gigabytes (GB)
50. OLAP Services does not add any ______ to the report query.
Project-level options/settings
New SQL
2 types of Attribute Relationships
3 Sections of the MSTR Desktop interface