Top 10 AWS quicksight interview questions and answers
Get prepared for your AWS QuickSight interview with these top 10 frequently asked questions and answers. Learn about the features and capabilities of AWS QuickSight, how it compares to other BI tools, its supported data sources, customization options, pricing, and integration with other AWS services.
What is AWS QuickSight and what are its main features?
AWS QuickSight is a fully managed business intelligence (BI) service that makes it easy to build visualizations, perform ad hoc analysis, and get insights from data. Some of its main features include:
Fast and interactive querying and visualization of data
Support for a wide range of data sources
Collaboration and sharing features
Integration with other AWS services
How does AWS QuickSight compare to other BI tools?
AWS QuickSight offers many of the same features as other BI tools, such as the ability to create charts, graphs, and reports from data. However, it differentiates itself by being fully managed, which means that it does not require any infrastructure to set up or maintain. It is also highly scalable and can handle very large datasets efficiently.
What data sources does AWS QuickSight support?
AWS QuickSight supports a wide range of data sources, including both structured and unstructured data. Some examples include Amazon Redshift, Amazon Aurora, Amazon RDS, Amazon S3, Amazon Elasticsearch Service, and many others. It also supports integration with third-party data sources through connectors and APIs.
Can AWS QuickSight be used for real-time analytics?
Yes, AWS QuickSight supports real-time analytics through its use of SPICE (Super-fast, Parallel, In-memory, Calculation Engine). SPICE is a highly scalable, in-memory calculation engine that enables users to analyze large datasets quickly and interactively.
How does AWS QuickSight handle data security and privacy?
AWS QuickSight provides a number of security and privacy features to ensure that data is protected. These include encryption of data at rest and in transit, fine-grained access controls, and integration with AWS Identity and Access Management (IAM) for authentication and authorization.
Can AWS QuickSight be customized and extended?
Yes, AWS QuickSight can be customized and extended in a number of ways. Users can create custom visualizations using JavaScript, and they can also build custom data connectors to bring in data from proprietary or third-party sources. In addition, AWS QuickSight has an API that allows users to programmatically access and manipulate data and visualizations.
How is AWS QuickSight priced?
AWS QuickSight is priced based on the number of users and the amount of data that is analyzed. There is a free tier that allows users to get started at no cost, and users only pay for what they use beyond that.
Can AWS QuickSight be used with other AWS services?
Yes, AWS QuickSight can be used in conjunction with a number of other AWS services to build more powerful and comprehensive BI solutions. For example, it can be integrated with Amazon Redshift and Amazon S3 for data storage and analysis, and it can be used with Amazon Athena for ad hoc queries.
What types of visualizations does AWS QuickSight support?
AWS QuickSight supports a wide variety of visualizations, including bar charts, line charts, pie charts, scatter plots, and many others. Users can customize the appearance of these visualizations and can also create custom visualizations using JavaScript.
Can AWS QuickSight be used for predictive analytics?
While AWS QuickSight does not have built-in predictive analytics capabilities, it can be used in conjunction with other AWS services that do offer these capabilities, such as Amazon SageMaker and Amazon Forecast. These services can be used to build machine learning models that can be used to make predictions about future events or outcomes. Once the models are trained and deployed, they can be accessed and used within AWS QuickSight to generate predictions and visualizations.
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