Unit 4 Lesson 1

Question 1

The analytics designer tool has a dedicated design environemnt in SAC

Answer 1

True

Question 2

4 steps in the process of creating an analytic application using the analytics designer

Answer 2

• defining the data model
• laying out the screen
• configuring widgets
• wiring it all up with help of custom scripts

Question 3

How is the analytic designer tailored for App designers (3)

Answer 3

• one design environment
• built for rapid prototyping
• Standardization of analytics content (centrally maintained composites)

Question 4

How does the analytic designer support rapid prototyping (2)

Answer 4

• apps are based on same data models

- can start from existing content, templates, user stories

Question 5

How does the analytic designer support standardization of analytics content (3)

Answer 5

1. re-use UI elements
2. create composites, packaging UI elements, application logic (headers, foots, toolbars)
3. re-using centrally maintained composites

Question 6

What is the data foundation of an analytic application (source) (2)

Answer 6

• 1+ SAC models

- direct access to an 0Data service

Question 7

How do you add custom logic to the analytic app

Answer 7

• implement event handlers with scripting language

Question 8

Almost all widget expose events

Answer 8

true

Question 9

What on-prem source systems can you connect to using 0Data services and a live connection using CORS (4)

Answer 9

• S/4HANA
• BW
• HANA
• BPC

Question 10

Can you see a technical widget

Answer 10

No, the are used for scripting scenarios

Question 11

Examples of technical widgets in the analytic designer (5)

Answer 11

• script variables
• script objects
• search to insight
• data actions
• timers

Question 12

Examples of standard analytic designer widgets (6)

Answer 12

• tables
• charts
• geo maps
• data action triggers
• text
• buttons

Question 13

What does graphical design allow (3)

Answer 13

• organize widgets on the canas
• biuld applications using library of widgets
• control interactions via scripting

Question 14

What are 3 examples of how you can control interactions via scripting

Answer 14

• display a pop-up dialog
• cascading filter behavior
• dynamic switch between chart and table at runtime

Question 15

Advanced scripting capabilities (3)

Answer 15

• subset of JavaScript
• auto-complete and syntax check
• content assistance (lists all available functions and data)

Question 16

How can you customize existing SAC capabilities

Answer 16

• Explorer - additional scripting capabilities (eg, default dimensions)
• Create story from app
• Script Smart Assist features (Time series forecasting, Smart Grouping, Insights and Discovery)

Question 17

how can analytical designer create Seamless integration with business applications (4)

Answer 17

• Support bi-directional communications with scripting APIs
• navigate between apps passing parameters
• embed apps into business apps
• use app design apps to host and communicate with other web pages

Question 18

What widget do you use to integrate a story into an analytic app

Answer 18

A widget web page - you can nav to the story via the hyperlink

Question 19

Can you generate a story for an analytic app

Answer 19

yes, can be generated from chart or tables

Question 20

What are the extension capabilities that let us extend the tool (3)

Answer 20

• custom widgets
• composites
• r widgets

Question 21

Describe how a Custom Widget lets us extend tool capabilities (1)

Answer 21

• devs can create sophisticated custom widgets

Question 22

Describe how a Composites lets us extend tool capabilities (4)

Answer 22

• designers create a collection of widgets to make a composite
• format by drag and drop of standard widgets, logic definition by data binding and scripting
• reuse composites across apps
• breaks down complex apps into smaller, manageable parts

Question 23

Does Analytics Designer support blending

Answer 23

no