20 Amazon QuickSight Interview Questions and Answers

Amazon QuickSight is a cloud-based business intelligence service that makes it easy to visualize and analyze data. As a result, it is becoming a popular tool for businesses of all sizes. If you are interviewing for a position that will involve working with Amazon QuickSight, it is important to be prepared to answer questions about the tool. In this article, we review some of the most common Amazon QuickSight interview questions.

Amazon QuickSight Interview Questions and Answers

Here are 20 commonly asked Amazon QuickSight interview questions and answers to prepare you for your interview:

1. What is Amazon QuickSight?

Amazon QuickSight is a cloud-based business intelligence service that makes it easy to visualize and analyze data. QuickSight lets you create interactive dashboards and reports that you can share with others in your organization. QuickSight can connect to a variety of data sources, including Amazon Redshift, Amazon Athena, Amazon Aurora, and more.

2. What are the main benefits of using Amazon QuickSight?

Amazon QuickSight has a few main benefits. First, it is very fast and easy to use. You can create visualizations and dashboards in just a few minutes. Second, it is very affordable. You can get started with a free trial, and then pay only $9 per month per user. Finally, it integrates with many other Amazon services, making it easy to get started with data analysis.

3. Can you tell us about some common use cases for Amazon QuickSight?

Amazon QuickSight is a cloud-based business intelligence service that makes it easy to visualize and analyze data. QuickSight lets you create dashboards and reports with just a few clicks, and provides access to data from a variety of data sources, including Amazon Redshift, Amazon RDS, and Amazon S3. QuickSight is a cost-effective way to get started with business intelligence, and can scale to support large organizations with millions of users.

4. How can you load data into Amazon QuickSight?

There are a few different ways that you can load data into Amazon QuickSight. One way is to use the Amazon QuickSight console to upload a file from your computer. You can also use the Amazon QuickSight API to programmatically load data into Amazon QuickSight. Additionally, you can use Amazon QuickSight to connect to a variety of data sources, including Amazon S3, Amazon Redshift, and Amazon Athena.

5. What does SPICE stand for in context with Amazon QuickSight?

SPICE is an acronym for Super-fast, Parallel, In-memory, Calculation Engine. Amazon QuickSight uses SPICE to perform calculations on data sets that are too large to fit in memory. SPICE is able to handle large data sets by breaking them down into smaller chunks and distributing the calculations across multiple processors.

6. What are some advantages and disadvantages of using SPICE over other visualization tools?

Some advantages of using SPICE over other visualization tools are that SPICE is very fast, it can handle large data sets, and it is highly interactive. Some disadvantages of using SPICE are that it can be expensive, and it is not as widely used as some other visualization tools.

7. What is a dataset in context with Amazon QuickSight?

A dataset is a collection of data that can be used to create visualizations in Amazon QuickSight. This data can come from a variety of sources, including Amazon S3, Amazon Redshift, and Amazon Athena.

8. What’s the difference between a dashboard and an analysis in Amazon QuickSight?

A dashboard is a collection of visualizations, or “widgets,” that you can use to monitor your data and business metrics. An analysis is a specific type of visualization that you can create in Amazon QuickSight.

9. What types of visualizations are available in Amazon QuickSight?

There are many different types of visualizations available in Amazon QuickSight. Some of the most popular options include bar charts, line graphs, scatter plots, and pie charts.

10. Can you explain what Spark SQL is? How does it relate to Amazon QuickSight?

Spark SQL is a library that allows you to query data stored in Spark databases using a SQL-like syntax. Amazon QuickSight is a business intelligence tool that can use data stored in Spark databases as a data source. QuickSight can then visualize that data and create reports and dashboards based on it.

11. Can you give me examples of BI tools that can be integrated with Amazon QuickSight?

Amazon QuickSight can be integrated with a number of BI tools, including Tableau, Qlik, and Microsoft Power BI.

12. Is it possible to connect Amazon QuickSight directly to Snowflake Data Warehouse? If yes, then how?

Yes, it is possible to connect Amazon QuickSight directly to Snowflake Data Warehouse. You can do this by using the Amazon QuickSight connector for Snowflake.

13. What are the best practices when creating dashboards in Amazon QuickSight?

Some best practices for creating dashboards in Amazon QuickSight include using the right mix of charts and graphs to tell your story, keeping your dashboard uncluttered and easy to navigate, and using filters and drill-downs to allow your users to explore the data in more depth.

14. What are some limitations of Amazon QuickSight?

Some potential limitations of Amazon QuickSight include its pricing model (which can be expensive for larger data sets), its lack of support for some data sources (such as Hadoop), and its lack of certain features (such as support for multiple languages).

15. When working with large datasets, what should I do to prevent performance issues while loading data into Amazon QuickSight?

When working with large datasets, you should consider partitioning your data. Partitioning your data means breaking it up into smaller pieces that can be more easily processed. This will help to improve performance while loading data into Amazon QuickSight.

16. Can you tell us more about the new features introduced in the latest version of Amazon QuickSight?

The latest version of Amazon QuickSight introduces several new features, including support for multiple languages, the ability to connect to more data sources, and new visualization options. Additionally, the new version includes a number of performance improvements and bug fixes.

17. Why would anyone need to use Amazon QuickSight instead of Tableau or PowerBI?

Amazon QuickSight is a cloud-based business intelligence service that offers a number of advantages over traditional desktop-based solutions like Tableau or PowerBI. First, QuickSight is much cheaper to set up and maintain since it doesn’t require any expensive hardware or software licenses. Second, QuickSight is much easier to use and can be up and running in minutes, whereas Tableau and PowerBI can take hours or even days to get set up. Finally, QuickSight offers a number of features that are simply not available in other business intelligence solutions, such as the ability to easily connect to data sources in the cloud, the ability to perform ad-hoc analysis, and the ability to share data and insights with others in the organization.

18. What is Super-Fast Parallel In-Memory Calculation Engine (SPICE) in context with Amazon QuickSight?

SPICE is Amazon QuickSight’s in-memory calculation engine that enables users to perform super-fast calculations on large data sets. SPICE is designed to handle large data sets quickly and efficiently, making it an ideal tool for data-intensive applications such as financial analysis, business intelligence, and scientific research.

19. What steps are involved in connecting Amazon QuickSight to an external database?

The first step is to create an Amazon Redshift cluster. Next, you need to create an Amazon QuickSight user and assign them the appropriate permissions. Finally, you need to create a data source in Amazon QuickSight that points to your Amazon Redshift cluster.

20. How many levels of drill down are supported by Amazon QuickSight?

Amazon QuickSight supports up to four levels of drill down.