MSP Bank, Limited is a leading Japanese monetary institution that provides a full range of financial products and services to both institutional and individual customers. It is headquartered in Tokyo.MSP Bank is hosting their existing infrastructure on AWS. MSP bank has many organizations internally and they are planning to launch a self-data discovery platform running out of AWS on QuickSight.
Please advise what kind of capabilities does QuickSight Offer? Select 5 options.

Answer options:

A.Data Preparation is the process of connecting sources for data analysis, including files, AWS services, and on-premises databases
B.Data Preparation is the process of transforming raw data for use in an analysis which includes filtering, renaming fields, changing datatypes, adding calculated fields and creating custom SQL queries.
C.Super-fast, Parallel, In-memory Calculation Engine, SPICE with storage and processing capacity is engineered to rapidly perform advanced calculations and serve data and speeds up the analytical queries that you run against your imported data
D.Speed, Parallel, Intensive Calculation Engine, SPICE with storage and processing capacity is engineered to rapidly perform advanced calculations and serve data and speeds up the analytical queries that you run against your imported data
E.Data Analysis is the basic workspace for creating and interacting with visuals, creating Sheets and Stories that you can play as a slideshow
F.Data Exploration is the basic workspace for creating and interacting with visuals, creating Sheets and Stories that you can play as a slideshow
G.Dashboards is a read-only snapshot of an analysis that can be shared with other Amazon QuickSight users for reporting purposes
H.
Dashboard allows to view and filter the dashboard visuals without changing the underlying data

Answer: B,C,E,G,H
Option A is incorrect -Data preparation is the process of transforming raw data for use in an analysis. This includes making changes like the following:
Filtering out data so you can focus on what`s important to you
Renaming fields to make them easier to read
Changing data types so they are more useful
Adding calculated fields to enhance analysis
Creating SQL queries to refine data
https://docs.aws.amazon.com/quicksight/latest/user/welcome.html
Option B is correct -Data preparation is the process of transforming raw data for use in an analysis. This includes making changes like the following:
Filtering out data so you can focus on what`s important to you
Renaming fields to make them easier to read
Changing data types so they are more useful
Adding calculated fields to enhance analysis
Creating SQL queries to refine data
https://docs.aws.amazon.com/quicksight/latest/user/welcome.html
Option C is correct -SPICE is Amazon QuickSight`s Super-fast, Parallel, In-memory Calculation Engine. SPICE is engineered to quickly perform advanced calculations and serve data. The storage and processing capacity available in SPICE speeds up the critical queries that you run against your imported data.
https://docs.aws.amazon.com/quicksight/latest/user/welcome.html
Option D is incorrect -SPICE is Amazon QuickSight`s Super-fast, Parallel, In-memory Calculation Engine. SPICE is engineered to quickly perform advanced calculations and serve data. The storage and processing capacity available in SPICE speeds up the critical queries that you run against your imported data.
https://docs.aws.amazon.com/quicksight/latest/user/welcome.html
Option E is correct -A data analysis is the basic workspace for creating and interacting with visuals, which are graphical representations of your data. Each analysis contains a collection of visuals that you assemble and arrange for your purposes, such as a sales analysis, cost analysis, or tracking key performance indicators. Each analysis can contain stories, which you can use to save a sequential slide show of different iterations of the analysis.
https://docs.aws.amazon.com/quicksight/latest/user/welcome.html
Option F is incorrect -A data analysis is the basic workspace for creating and interacting with visuals, which are graphical representations of your data. Each analysis contains a collection of visuals that you assemble and arrange for your purposes, such as a sales analysis, cost analysis, or tracking key performance indicators. Each analysis can contain stories, which you can use to save a sequential slide show of different iterations of the analysis.
https://docs.aws.amazon.com/quicksight/latest/user/welcome.html
Option G is correct -A dashboard is a read-only snapshot of an analysis that you can share with other Amazon QuickSight users for reporting purposes.
https://docs.aws.amazon.com/quicksight/latest/user/welcome.html
Option H is correct -Dashboards let users view and filter the dashboard visuals without changing the underlying data.
https://docs.aws.amazon.com/quicksight/latest/user/welcome.html