November 01, 2022

Top 20 AWS QuickSight Interview Questions and Answers

 

                        Amazon QuickSight, a very quick, simple-to-use, cloud-powered business analytics service. All employees within an organisation can easily create visualisations, carry out ad-hoc analysis, and quickly gain business insights from their data with the help of AWS QuickSight. This can be done anytime, anywhere, and on any device. Access on-premises databases like SQL Server, MySQL, and PostgreSQL, upload CSV and Excel files, connect to SaaS programmes like Salesforce, and easily find your AWS data sources like Amazon Redshift, Amazon RDS, Amazon Aurora, Amazon Athena, and Amazon S3. With the help of a powerful in-memory engine, QuickSight allows businesses to grow their business analytics capabilities to hundreds of thousands of users while providing quick and responsive query performance (SPICE).

 

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Ques: 1).  Can you describe SPICE?

Answer:

The "SPICE" super-fast, parallel, in-memory calculation engine is used in the construction of Amazon QuickSight. Built specifically for the cloud, SPICE runs interactive queries on massive datasets and provides quick results by combining columnar storage, in-memory technologies made possible by the newest hardware advancements, and machine code generation. With the support of SPICE, you can do complex calculations to get the most out of your study without having to worry about provisioning or managing infrastructure. Until a user manually deletes data, it is persistent in SPICE. SPICE also enables QuickSight to grow to hundreds of thousands of users who can all concurrently undertake quick interactive analysis across a wide range of AWS data sources, and it replicates data automatically for high availability.


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Ques: 2). With Amazon QuickSight, how can I make an analysis?

Answer:

Making an analysis is straightforward. Within your AWS account, Amazon QuickSight automatically finds data in well-known AWS data repositories. Simply target one of the found data sources at Amazon QuickSight. You can specify the connection information of the source to connect to another AWS data source that is not in your AWS account or in a different zone. After that, pick a table and begin examining your data. Additionally, you may upload CSV and spreadsheet files, and Amazon QuickSight can be used to examine your data. Start by choosing the data fields you wish to examine, dragging the fields into the visual canvas, or performing a combination of these two activities. Amazon QuickSight will automatically select the appropriate visualization to display based on the data you’ve selected.


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Ques: 3). If QuickSight is running in the background of a browser, will a Reader be charged?

Answer:

No, there won't be any use fees if Amazon QuickSight is active in a background tab. Only when there is explicit Reader action on the QuickSight web application does a session start. No further sessions (beyond those started when the Reader was active on the window or tab) will be charged if the QuickSight page is minimised or moved to the background until the Reader interacts with QuickSight once again.


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Ques: 4). Is Amazon QuickSight compatible with my mobile device?

Answer:

For quick access to your data and insights so that you can make choices while you're out and about, use the QuickSight mobile applications (available on iOS and Android). Utilize your dashboards to browse, search, and take action. Dashboards can be added to Favorites for fast access. Using dig downs, filters, and other methods, explore your data. Any mobile device with a web browser may be used to access Amazon QuickSight.


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Ques: 5). How can I get access to my AWS data sources data?

Answer:

Your AWS data sources that are accessible in your account and have your approval are effortlessly discovered by Amazon QuickSight. You may start viewing the data and creating visualisations right now. By supplying connection information for such sources, you may also explicitly connect to additional AWS data sources that are not in your account or in a different region.


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Ques: 6). Can I use JDBC or ODBC to connect to hosted or local databases and specify the AWS region?

Answer:

Yes. Customers are urged to utilise the area where your data is housed for better performance and user interaction. Only the AWS region of the Amazon QuickSight endpoint to which you are connected is used by the auto discovery function of Amazon QuickSight to identify data sources.


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Ques: 7). Row-level security: what is it?

Answer:

With row-level security (RLS), QuickSight dataset owners may restrict access to data at the row level based on the user's rights while interacting with the data. Users of Amazon QuickSight need to maintain one set of data and apply the proper row-level dataset rules to it with RLS. These guidelines will be enforced by all connected dashboards and analytics, making it easier to manage datasets and eliminating the need to keep separate datasets for users with various levels of data access privileges.

 

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Ques: 8). Who are QuickSight's "Authors" and "Readers"?

Answer:

A person who can connect to data sources (inside or outside of AWS), produce graphics, and evaluate data is known as a QuickSight Author. Authors may publish dashboards with other account users and construct interactive dashboards utilising sophisticated QuickSight features like parameters and computed fields.

A user that consumes interactive dashboards is known as a QuickSight Reader. Using a web browser or mobile app, readers may log in using the desired authentication method for their company (QuickSight username/password, SAML portal, or AD auth), view shared dashboards, filter data, dig down to details, or export data as a CSV file. Readers are not allotted any SPICE capacity.

It is possible to grant certain end users access to QuickSight as Readers. Reader price is only valid for manual session interactions. If, in its discretion, it would discovers that you are using reader sessions for other purposes, it has the right to charge the reader at the higher monthly author fee (e.g., programmatic or automated queries).


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Ques: 9). Who is a QuickSight “Admin”? Can I make an Author or Reader an Admin?

Answer:

A person who has the ability to manage QuickSight users, account-level preferences, and buy SPICE capacity and yearly subscriptions for the account is known as a QuickSight Admin. Administrators have access to all QuickSight writing features. If necessary, administrators can also upgrade accounts from Standard Edition to Enterprise Edition.

Authors and Readers of Amazon QuickSight can at any moment become Admins.


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Ques: 10). Can more users be invited by Qucksight "Authors" or "Readers"?

Answer:

No, QuickSight Authors and Readers are the only user categories that are unable to modify account permissions or extend an invitation to other users. One may acquire SPICE capacity and yearly subscriptions for the account as well as manage QuickSight users and account-level options using the Admin user that QuickSight gives. Administrators have access to all QuickSight writing features. If necessary, administrators can also upgrade accounts from Standard Edition to Enterprise Edition.


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Ques: 11). My data's source is not in a tidy format. How should the data be formatted and transformed before visualisation?

Answer:

You can prepare data that isn't ready for visualisation using Amazon QuickSight. The connection dialog's "Edit/Preview Data" button should be selected. To format and alter your data, Amazon QuickSight includes a number of features. You can alter data types and alias data fields. You can use drag and drop to conduct database join operations and built-in filters to subset your data. Using mathematical operations and built-in functions like conditional statements, text, numerical, and date functions, you can also build calculated fields.


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Ques: 12). Can QuickSight dashboards be displayed and refreshed scriptedly on monitors or other big displays using my QuickSight Reader account?

Answer:

The reader price for Amazon QuickSight is applicable to interactive data consumption by end users inside an enterprise. It is advisable that using an Author account to adhere to the QuickSight Reader's fair use standards for automated refresh and programmatic access.


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Ques: 13). A recommended visualisation is what? How are suggestions generated by Amazon QuickSight?

Answer:

A built-in recommendation engine in Amazon QuickSight offers you potential representations depending on the characteristics of the underlying datasets. Suggestions act as potential first or next steps in an analysis, eliminating the time-consuming job of querying and comprehending your data's structure. The recommendations will change as you work with more precise data to reflect the subsequent actions that are appropriate for your current research.


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Ques: 14). How does SageMaker's interaction with QuickSight work?

Answer:

Connecting the data source from which you wish to pull data is the first step. Once you've established a connection to a data source, choose "Augment using SageMaker." The next step is to choose the model you wish to use from a list of SageMaker models in your AWS account and supply the schema file, which is a JSON-formatted file containing the input, output, and run-time parameters. Compare the columns in your data collection with the input schema mapping. When you're finished, you may run this task and begin the inference.


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Ques: 15). What types of visualizations are supported in Amazon QuickSight?

Answer:

Amazon QuickSight supports assorted visualizations that facilitate different analytical approaches:

  • Comparison and distribution
  • Bar charts (several assorted variants)
  • Changes over time
  • Line graphs
  • Area line charts
  • Correlation
  • Scatter plots
  • Heat maps
  • Aggregation
  • Pie graphs
  • Tree maps
  • Tabular
  • Pivot tables

 

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Ques: 16). How do stories work?

Answer:

Stories act as walking tours of certain analyses. In order to facilitate cooperation, they are used to communicate significant ideas, a thinking process, or the development of an analysis. They may be built in Amazon QuickSight by recording and annotating particular analysis states. Readers of the tale are directed to the analysis when they click on a story image, where they can further investigate on their own.


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Ques: 17). Which data sources can I use with Amazon QuickSight?

Answer:

AWS data sources including Amazon RDS, Amazon Aurora, Amazon Redshift, Amazon Athena, and Amazon S3 are all accessible through connections. Additionally, you may connect to on-premises databases like SQL Server, MySQL, and PostgreSQL, upload Excel spreadsheets or flat files (CSV, TSV, CLF, and ELF), and import data from SaaS programmes like Salesforce.


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Ques: 18). How can I control who may access Amazon QuickSight?

Answer:

By default, you are given administrator rights when you establish a new Amazon QuickSight account. Whoever invites you assigns you either an ADMIN or a USER role if they want you to utilise Amazon QuickSight. If you have the ADMIN position, you may also buy yearly subscriptions, SPICE capacity, and create and remove user accounts in addition to utilising the service.

Sending an email invitation to the user using an in-app interface allows you to establish a user account. The user then completes the account creation process by choosing a password and logging in.


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Ques: 19). In what ways can I establish a dashboard?

Answer:

Dashboards are groups of visual displays that are grouped and made visible at once, such as tables and visualisations. By selecting the sizes and layouts of the visualisations in an analysis, you may create a dashboard using Amazon QuickSight, which you can then share with a group of people inside your company.


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Ques: 20). What does "private VPC access" entail in regard to Amazon QuickSight?

Answer:

This functionality is for you if you have data in AWS (perhaps in Amazon Redshift, Amazon Relational Database Service (RDS), or on EC2) or locally on Teradata or SQL Server servers on servers without public connection. Elastic Network Interface (ENI) is used by Private VPC (Virtual Private Cloud) Access for QuickSight for secure, private connection with data sources in a VPC. You may also utilise AWS Direct Connect to establish a private, secure connection with your on-premises resources.

 

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