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.
Click on the arrows to vote for the correct answer
A. B. C. D. E. F. G.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.htmlOption 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.htmlOption 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.htmlOption 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.htmlOption 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.htmlOption 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.htmlOption 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.htmlOption 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.htmlSure, I'd be happy to explain the capabilities of QuickSight!
Amazon QuickSight is a cloud-based business analytics service that allows users to easily create and publish interactive dashboards, reports, and data visualizations. Here are the capabilities it offers:
A. Data Preparation: QuickSight's data preparation capabilities enable users to connect to various sources of data, including files, AWS services, and on-premises databases, and transform the raw data into a form suitable for analysis. This includes tasks like filtering, renaming fields, changing data types, adding calculated fields, and creating custom SQL queries.
B. Data Transformation: QuickSight provides users with a range of data transformation capabilities to prepare the data for analysis. These include filtering, renaming fields, changing data types, adding calculated fields, and creating custom SQL queries.
C. SPICE Calculation Engine: QuickSight's Super-fast, Parallel, In-memory Calculation Engine (SPICE) is designed to rapidly perform advanced calculations and serve data. SPICE provides storage and processing capacity to speed up the analytical queries that users run against their imported data.
D. Speed and Parallel Processing: QuickSight's intensive calculation engine, SPICE, is engineered to rapidly perform advanced calculations and serve data, thus speeding up the analytical queries that you run against your imported data.
E. Data Analysis: QuickSight provides a basic workspace for creating and interacting with visuals, creating Sheets, and Stories that you can play as a slideshow. This workspace allows users to create visualizations and charts based on their data to gain insights and make decisions.
F. Data Exploration: QuickSight's data exploration workspace is similar to the data analysis workspace, providing users with the ability to create and interact with visuals, create Sheets, and Stories that can be played as a slideshow. This workspace allows users to explore their data and discover insights.
G. Dashboards: QuickSight's dashboards are a read-only snapshot of an analysis that can be shared with other Amazon QuickSight users for reporting purposes. Users can create custom dashboards and share them with others for collaborative analysis and decision-making.
H. Interactive Filtering: QuickSight's dashboards allow users to view and filter the dashboard visuals without changing the underlying data. This enables users to interact with the data and visualize it in different ways to gain insights.
In summary, QuickSight offers a range of capabilities for data preparation, transformation, analysis, and visualization. Its Super-fast, Parallel, In-memory Calculation Engine (SPICE) is designed to rapidly perform advanced calculations and serve data, and its data exploration workspace allows users to explore their data and discover insights. QuickSight's dashboards can be shared with other users for collaborative analysis, and its interactive filtering allows users to view and filter dashboard visuals without changing the underlying data.