Database Testing Interview Questions

Intermediate Database Testing Interview Questions

11. What SQL statements are appropriate for database testing?

You can use any SQL DDL, DML, DCL, or TCL statement during database testing.

Data Definition Language (DDL): This language's statements can all be used to specify the database structure or schema.

CREATE, ALTER, DROP, TRUNCATE, COMMENT, and RENAME statements

DML (Data Manipulation Language): You can manage data inside schema objects by using any statement that belongs to this language.

The following commands are also available: CALL, EXPLAIN PLAN, and LOCK TABLE.

The GRANT Statement and REVOKE Statement in DCL (Data Control Language).

DML statements can be used to control changes made by TCL (Transaction Control Language) statements. Logical transactions can be created by grouping statements together using TCL.

12. How is data load testing carried out during database testing?

You must be familiar with the source database's data tables, columns, associated constraints, and data types in order to do data load testing (data tables, columns, data types, and constraints).

The DTS package must be used to verify compatibility between the source database and the destination database.

You must launch the DTS package by opening the appropriate DTS package in SQL Enterprise Manager (if you are using SQL Server).

Data from the Source and Target columns should be compared.

Verify the Source and Target rows' total amount of rows.

Check to see if changes have been reflected on the destination database after updating data in the source database.

Check for NULLs and garbage characters.

test the load on a database

13. Is the criteria "A rapid database retrieval rate" testable?

No. I won't believe that is the case because the criterion seems vague. The SRS should explicitly state the transaction or performance criteria, for example, "Database retrieval rate of 5 microseconds."

14. How can a SQL Query be tested in QTP without using database checkpoints?

The script technique listed below assists us in connecting to the database so that we may test the database and queries.

a) Using the script command db connect("query1",DRIVER=driver name;SERVER=server name;

DBQ=database name; UID=uidname; PWD=password

b) db execute query("query1," "write a query you wish to execute"); the script process used to run the query.

-Noteworthy condition-

c) The script command db disconnect("query"), which breaks the connection with the database;

15. What is needed to create effective test cases while testing databases?

Before writing database test cases, it is necessary to have the following knowledge:

Completely comprehend the application, as well as all of its functional requirements.

Examine additional entities that have been utilized in an application, such as the database tables on the back-end, joins between the databases, cursors, triggers, stored procedures, input parameters, and output parameters.

Write down the test case with varied input values after gathering all the necessary data to examine all the resources.

Contrary to functional testing, writing test cases for back-end testing requires the usage of the white box testing methodology.

16. What is retesting and how does it vary from testing that is driven by data?

Re-testing, also known as confirmation testing, is the act of re-running a test after it has already been run to find a defect that has already been identified and rectified in order to verify that if the problem has been properly fixed.

Retesting is also known as Data-Driven Testing, however, there is a distinction between the two in that application testing is carried out using a completely fresh set of data, whereas retesting is a manual testing method.

Data-Driven Testing (DDT) is an automated testing method that evaluates an application using a variety of test data.

Compared to retesting, where the tester just sits before the system and manually enters various new input values from the front-end, it is straightforward and easy.

17. What kinds of testing are data-driven?

Data-driven testing comes in four different types:

• Key-driven testing (key-driven testing), the submission of dynamic test data: To verify the calculation via dynamic submission, testers occasionally retry a specific application with alternative input values. Therefore, testers can use the script create input dialog ("label") function in TSL to submit the input value.
• Flat files (.txt,.doc) for Data-Driven Tests In some instances, testers conduct re-testing while taking into account the flat file's data. These flat files are gathered by testers from previous customers' databases.
• Front-end objects used for data-driven tests: In some instances, testers build automation scripts by taking into account the values of front-end objects like lists, menus, tables, data windows, ocx, etc.
• Excel-based data-driven tests: In some circumstances, testers use this data-driven test to run the script with various inputs. In an excel sheet's columns are where these various inputs are located. This test data must be gathered from the backend tables.

18. How should test cases be written from requirements, and do the requirements accurately describe the functionality of the AUT?

Yes, the specifications should reflect the precise capabilities of the AUT.

To achieve this, In order to comprehend the entire functionality, look at the requirement.

Next, choose whether Black Box test design techniques, such as Equivalence Partitioning, Boundary Value Analysis, Error Guessing, and Cause-Effect Graphing, are appropriate for writing test cases.

Write your test cases throughout the requirement analysis and design phase once you've chosen the best test design methodology.

You can make sure that all the requirements can be tested in this way.

19. What test scenario should be used to test a database that has been moved from one SQL Server to another?

We must first determine any improvements and modifications made to the SQL Server where we intend to transfer.

Next, create the test case taking the following into account:

a previously employed data type.

The SQL Server (Server) into which the data is being migrated should have data fields that are the same length as the SQL Server from which the data is being extracted.

Every single task needs to be properly organized.

20. Describe performance testing's limitations and bottlenecks.

Performance testing is a kind of software testing that assesses a system's speed, sensitivity, and stability under a severe load. To conduct this testing, you'll need high-end equipment and skilled testers.

Database Testing Interview Questions for Experienced

21. What is CMMI, and what are the different CMM levels?

A process development training and evaluation model of numerous business processes used in software engineering, CMMI stands for Capability Maturity Model Integration.

For an organization, there are five CMM maturity levels:

• First: Because there are no established techniques and environments at this stage, budgets and schedules are frequently exceeded.
• Replicable: At this level, firms are equipped with the fundamental methods and standards for keeping costs and schedules under control.
• Defined: At this level, all procedures are logically arranged and presented in a uniform manner.
• Managed: Organizations are significantly more advanced at this level than at Defined. Techniques are contacted in this case using quantitative and statistical methods.

22. How will data load testing be carried out?

When performing data load testing, the testers must be familiar with the source and destination databases' objects, including their tables, columns, designs, constraints, etc. Using the DTS package in SQL Enterprise Manager, we must verify that the source and destination databases are compatible while running the tests. The steps are as follows for the same:

• Run the DTS package after opening it.
• Comparing the source and destination tables' column data
• Verify the source and destination tables' row counts.
• Check to see if the destination database reflects the same changes after changing the data in the source tables.
• Verify the data quality to see if the target data contains any garbage characters or NULL values.
• Examine the servers' maximum processable capacity as well as the pace at which data is loaded from the source to the destination.

23. How can the database's tables and columns be verified?

By using the following test cases, we may examine the databases' tables and columns:

Are the database fields correctly mapped and in accordance with the front-end or back-end requirements?

Are the fields named correctly and are their lengths and sizes in accordance with the specifications?

Verify if any tables or columns are empty or unmapped.

Verify that the table design, referential integrities, and column constraints are being used effectively and are adaptable to various requirements.

24. How can a stored method with thousands of lines of code be checked for errors?

Using the following techniques, we can test:

Check for compile-time mistakes during the compilation process.

Add appropriate comments and loggers to assist you to identify the stages that have been completed and identify the error's location.

25. Is it feasible for a table to contain numerous primary keys?

No. One composite primary key made up of two or more columns is permitted per table. However, it prohibits the use of numerous primary keys.

26. What are the best practices for database testing that must be adhered to?

The following are some excellent strategies to adhere to when conducting database testing:

• Validate each and every data item, including functional and metadata data, in accordance with the requirement specifications.
• After discussing with the development team, test data should be verified and developed, and validation should follow.
• It is necessary to validate output data using both automatic and human procedures.
• To obtain the necessary test data inputs, use boundary value analysis, graphing, and equivalence partitioning techniques.
• Additionally, it is important to thoroughly assess the referential integrity of the data in the tables.
• To ensure data consistency, it is also necessary to examine the table's default value option.
• Inspect the database to see if the proper logging events have been introduced and tracked.
• Are the tasks that are supposed to run being completed on time?
• You guarantee that test cases pass, make sure to take a timely backup of the test database.
• To make sure that testing is as accurate as possible, make sure the test server is routinely refreshed with data that is nearly real-time.

27. Describe the QTP testing procedure.

The following steps make up the QTP testing process:

• Developing GUI (Graphical User Interface) Map data: the GUI object that needs to be tested is identified
• developing test scripts Scripts for tests are recorded.
• Bug checks: Testing needs to be fixed.
• Make tests: Run test scenarios.
• View outcomes The outcomes show whether the tests were successful or not.
• Report detects: If the test is unsuccessful, the report detects the file will contain the reasons why.

28. Describe load testing and provide some instances.

Load testing is carried out to gauge the system response. Stress testing is the process of seeing if the load exceeds the usage pattern. Examples of load testing include downloading a collection of huge files, running many programs simultaneously on a single computer, flooding a server with emails, and assigning numerous tasks to a printer one after the other.

29. How does SQL work to construct an index?

Depending on the RDBMS, the syntax for generating an index can change. The CREATE INDEX statement is used to start the procedure in the majority of systems. The user is then invited to choose the index's columns and give it a name.

30. What distinguishes clustered indexes from non-clustered indexes?

The following are the main distinctions between clustered and non-clustered indexes:

Non-clustered indexes produce a logical order that differs from the physical order of the rows on the disc, whereas clustered indexes define the physical order in which tables are stored and sort them accordingly.

Non-clustered indexes use a structure apart from the data rows, while clustered indexes sort data rows according to their key values.

There can be more than one non-clustered index per table, but only one clustered index per table.

Frequently Asked Questions

What are the questions asked in a database testing interview?

Common questions in a database testing interview include queries about SQL knowledge, understanding of database management systems, experience with testing tools like SQL Server Management Studio, and scenarios involving data integrity, performance, and security testing.

What is database testing in QA?

Database testing in QA involves verifying data integrity, consistency, and reliability within a database system. It ensures that data manipulation operations, such as insertions, updates, and deletions, are performed accurately, and that the database meets functional and non-functional requirements.

How can I test my database?

To test a database, you can perform various types of tests such as functional testing to validate data operations, performance testing to assess response times, security testing to check for vulnerabilities, and scalability testing to evaluate system capacity. Utilize SQL queries, automated testing tools, and manual testing methods as needed.

Is there any tool for database testing?

Yes, several tools are available for database testing, including commercial tools like Oracle SQL Developer, IBM InfoSphere Optim, and Microsoft SQL Server Management Studio, as well as open-source tools like DbUnit, SQLUnit, and Apache JMeter. These tools assist in automating database testing tasks and ensure efficient testing processes.

Conclusion

In this article, we have discussed database testing interview questions in detail. We started with a basic introduction to database testing, then we discussed some introductory database testing Interview Questions, intermediate database testing Interview Questions, and advanced database testing Interview questions.

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