FREE ETL Testing Basic Questions and Answers

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A data migration pipeline consists of ___ data from an input source being transformed and loaded into an output destination for analysis, reporting, and synchronization (such as a datamart, database, and data warehouse).

Correct! Wrong!

Data extraction from an input source, transformation, and loading into an output destination for analysis, reporting, and synchronization are all steps in a data migration pipeline. The pipeline moves data from one system to another, like from a database, data warehouse, or data mart.

Difficult data will be reported by __ tests if there are invalid characters, invalid character patterns, or wrong upper- or lowercase case.

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Syntax tests are used to see if a code or text is correct. Invalid characters, invalid character patterns, or wrong upper- or lowercase order in a text can be found using them.

Data processing modules made up of fact tables and dimensions from the data warehouse are called _____.

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Data processing units called cubes are made up of dimensions and fact tables from the data warehouse. It does multidimensional analysis.

___ automates ETL testing and management to make sure the data don't affect production systems.

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With Informatica Data Validation, you can make sure that data doesn't get into production systems by automating ETL testing and management. It may make ETL testing and data validation substantially faster, more thorough, and less expensive than creating manual SQL queries.

Testing the changed data values against the expected data values is called ___ testing.

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The process of source-to-target testing makes sure that the data values that are changed to the expected data values are checked by testing. A type of data testing that checks the accuracy of data loaded from a source to a destination after a business transformation.

For both the source and destination tables, a ___ holds all the columns and their lookups in reference tables.

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A mapping sheet is a file that has all the columns and how to look them up in reference tables for both the source table and the destination table. It maps data from one system to another, making sure that the data is sent correctly and consistently.

Data types, data lengths, indexes, and constraints are all measured as part of __ testing.

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Metadata testing checks things like the types of data, the lengths of data, as well as the indexes and constraints that are in place. The length of the data is checked to make sure it meets the standards for what's comprehensive. Indexes and constraints are checked to make sure they are set up and defined correctly.

Which of these tasks is NOT part of the ETL Transformation Process?

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Addressing is NOT one of the ETL Transformation Process's tasks.

When new data is introduced to existing data, a data integrity test is performed for ___ testing.

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Testing the new data that is added to the data that is already in a database or data warehouse is called incremental ETL testing.

QualiDI's ___ testing platform provides ETL and end-to-end testing.

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The automated testing platform from QualiDI can do both ETL testing and end-to-end testing. ETL test automation tool that provides an end-to-end, enterprise-wide platform for testing one or more ETL tools from a central location.

A ___ compares data between two systems, one source and one target, without changing the data in either system.

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When comparing data across two systems, without changing the data in either system, it is known as a value comparison. You can use this kind of comparison to make sure that the data in both systems is correct and consistent.

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