AWS QuikSight Interview Questions
1. What is Amazon QuikSight?
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 Quick Sight?
Amazon Quick Sight 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 Quick Sight?
Amazon Quick Sight 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
4. What does SPICE stand for in context with Amazon Quick Sight?
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.
5. 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.https://c84d70ea0ebf19daead352bec0e25244.safeframe.googlesyndication.com/safeframe/1-0-40/html/container.html
6. What is a dataset in context with Amazon Quick Sight?
A dataset is a collection of data that can be used to create visualizations in Amazon Quick Sight. This data can come from a variety of sources, including Amazon S3, Amazon Redshift, and Amazon Athena.
7. What’s the difference between a dashboard and an analysis in Amazon Quick Sight?
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.
8. What types of visualizations are available in Amazon Quick Sight?
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.
9. Can you explain what Spark SQL is? How does it relate to Amazon Quick Sight?
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.
AWS Quik Sight Interview Questions
11. What are the best practices when creating dashboards in Amazon Quick Sight?
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.
12. What are some limitations of Amazon Quick Sight?
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).
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