AWS DevOps Engineer Professional Practice Test

What are valid data types for files in S3 to be read by AWS QuickSight?

1. CSV, TSV, JSON

2. ELF, CLF, XLSX

3. All of the above

4. XML, TXT, DOCX

The correct answer is: All of the above

AWS QuickSight is a business intelligence service that can easily integrate with various data sources, including files stored in Amazon S3. For QuickSight to analyze data effectively, the files uploaded to S3 must be in a format it supports. The valid data types supported by AWS QuickSight for files stored in S3 include CSV (Comma Separated Values), TSV (Tab Separated Values), and JSON (JavaScript Object Notation). These formats are widely used for structured data and are easily readable by QuickSight for creating visualizations and dashboards. Although the other formats mentioned, such as ELF (Executable and Linkable Format), CLF (Common Log Format), XLSX (Excel Spreadsheet), XML (Extensible Markup Language), TXT (plain text), and DOCX (Microsoft Word Document), are common in various contexts, they are not all supported natively by QuickSight when accessing data from S3. QuickSight requires specific file structures to correctly parse and query the data effectively, and that's why only CSV, TSV, and JSON are confirmed as valid data types for use with QuickSight. This context around data types helps clarify that while there’s a wide variety of file formats in use today, only those that align with QuickSight’s requirements will be