ETL Testing Interview Questions and Answers

Top ETL Testing Interview Questions and Answers

Here are the top ETL Testing interview questions and their answers. These sample questions are framed by experts from Cedar Pro who train for ETL Testing Training to give you an idea of the type of questions asked in interviews.

Top Answers to ETL Testing Interview Questions

Sample Answer:

Criteria

ETL Testing

Manual testing

Basic procedure Writing scripts for automating the testing process A method of observing and testing
Requirements No need for additional technical knowledge other than the understanding of the software Needs technical knowledge of SQL and Shell scripting
Efficiency Fast and systematic, and provides top results Needs time and effort, and is prone to errors

Sample Answer:

ETL refers to the Extracting, Transforming, and Loading of data from any outside system to the required place. These are the basic three steps in the data integration process.

‘Extracting’ means locating data and removing it from the source file; ‘Transforming’ is the process of transporting it to the required target file, and in the ‘Loading’ stage the file is loaded to the target system in the specified format.

 

Sample Answer:

• To keep an eye on data that is being transferred from one system to another
• To keep track of the efficiency and speed of the process
• To achieve fast and the best results

Sample Answer:

An ETL Tester:
• Requires in-depth knowledge of the ETL tools and processes
• Needs to write SQL queries for various scenarios during the testing phase
• Should be able to carry out different types of tests and keep a check on the other functionalities of the process
• Needs to carry out quality checks on a regular basis

Sample Answer:

• Cognos Decision Stream
• Oracle Warehouse Builder
• Business Objects XI
• SAS Business Warehouse
• SAS Enterprise ETL Server

Sample Answer:

ETL Testing Process – Although there are many ETL tools, there is a simple testing process commonly used in ETL Testing. It is as important as the implementation of the ETL tool into your business. Having a well-defined ETL Testing strategy can make the testing process much easier. Hence, this process needs to be completed before you start the data integration with the selected ETL tool.


In this ETL Testing process, a group of experts comprising the programming and developing team will start writing SQL statements. The development team may customize them according to the requirements.
ETL Testing process has the following stages:


• Analyzing requirements: Understanding the business structure and their particular requirements.
• Validation and test estimation: Estimating the time and expertise required to carry on with the procedure.
• Test planning and designing the testing environment: Based on the inputs from the estimation, an ETL environment is planned and worked out.
• Test data preparation and execution: Data for the test is prepared and executed as per the requirements.
• Summary report: Upon the completion of the test run, a brief summary report is prepared for improvising and concluding.

Sample Answer:

ETL Testing includes:


• Verifying whether the data is transformed accurately according to business requirements
• Verifying that the projected data is loaded into the data warehouse without any truncation or data loss
• Making sure that the ETL application reports any invalid data and replaces with default values
• Making sure that the data loads within the expected time frame to improve scalability and performance

Sample Answer:

Types of data warehouse applications are:


• Info Processing
• Analytical Processing
• Data Mining

Data mining can be defined as the process of extracting hidden predictive information from large databases and interpreting the data, while data warehousing may make use of a data mine for the analytical processing of the data in a faster way. Data warehousing is the process of aggregating data from multiple sources into one common repository.

Sample Answer:

Fact is a central component of a multi-dimensional model that contains the measures to be analyzed. Facts are related to dimensions.
Types of facts are:


• Additive Facts
• Semi-additive Facts
• Non-additive Facts

Sample Answer:

Cubes are data processing units comprised of fact tables and dimensions from the data warehouse. They provide a multi-dimensional analysis.

OLAP stands for ‘Online Analytics Processing,’ and OLAP Cubes store voluminous data in a multi-dimensional form for reporting purposes. They consist of facts called ‘measures’ categorized by dimensions.

 

Sample Answer:

• Calculation Bug
• User Interface Bug
• Source Bug
• Load Condition Bug
• ECP-related Bug

In addition to the above ETL Testing questions, there may be other vital questions where you might be asked to mention the ETL tools that you have used earlier. Also, you might be asked about any debugging issues you have faced in your earlier real-time experience.

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