Are you interested in working with databases? If your answer is Yes, then start learning about the Database testing interview questions given below. By going through this blog you will not only get answers to your questions but also learn about Database Testing in detail. This blog has been created specifically for job seekers to help them pass job interviews.
Database testing is concerned with ensuring the integrity, correctness, and accuracy of data held in databases. It helps organizations manage risks connected with erroneous data in data sources by preventing data loss, defining the behaviour of a system in the event of failed transactions, and so on. Here are the top 40 Database Testing interview questions, along with detailed answers.
We have categorized Database Testing Interview Questions - 2023 (Updated) into 2 levels they are:
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For freshers, here are some often questioned Database Testing Interview Questions.
Database testing involves examining data in a database, as well as the functionality and objects that control database entities including tables, stored procedures, views, triggers, and functions. In database-based systems, this kind of testing is prevalent. As a result of modern technologies and advancements in software development, databases are widely used to store data, which necessitates the verification of data quality and correctness. It's divided into four parts:
Data-driven testing is an automated testing framework that involves using data contained in a spreadsheet or table as input values to test scripts. This is done to prevent creating individual test cases with various inputs for the same functionalities. The test scripts' inputs might be in XML, CSV, XLS, and some other data formats.
Based on the source of test data inputs, there are four basic forms of data-driven testing:
The re-execution of the same test with different input values to ensure the original flaw has been effectively removed is termed Re-testing or confirmation Testing after the test has been completed in terms of identifying the defect that has already been recognized and rectified.
After earlier testing, retesting entails running the same test with different input values, identifying the fault, and correcting it. Retesting varies from data-driven testing in that it is a manual process in which the application is tested with a new data set, whereas data-driven testing is an automated process in which the application is tested with several sets of test data.
Database Stress Testing is one of the approaches for evaluating database performance by putting it under a significant load that could cause the system to fail. This is used to figure out where the database application's breakdown points are. To avoid wasting resources, appropriate planning must be carried out prior to undertaking this testing. Fatigue testing is another name for this type of analysis. It accomplishes this by utilizing tools such as LoadRunner and JMeter.
A database transaction is a job sequence that must be done on the database to logically attain the desired outcomes. Creating, removing, and updating records in database tables are examples of tasks. When tasks are completed successfully, they have an impact on the database entries. A transaction includes four controls, which are listed below:
In terms of database testing, non-functional testing entails a variety of testing methods such as stress testing, load testing, usability testing, security testing, and others that test and validate non-functional business requirements. It aids in the quantification of database system risks in terms of how the system works under high demand.
It answers the following questions, which can help to mitigate risks if they are recognised early:
Non-functional testing also aids in determining the basic requirements for a system to perform properly without any hardware or software limitations.
Load testing is a technique for determining how well a system works. When a load exceeds a user's pattern, stress testing is carried out. Load testing involves downloading a large number of files, running multiple apps on a single computer, sending a large number of emails to a server, and assigning multiple tasks to a printer one by one.
SQL is the most widely used language for retrieving and organizing data from relational databases. A table with rows and columns is called a database. Databases are written in SQL. It makes it easier to extract specific data from databases, which can then be analyzed.
[ Related Article: SQL Server Tutorial ]
Writing test cases is related to functional testing. To begin, you must first comprehend the app's functional requirements. Then you must decide on the test case parameters, which include things like
SQL unit testing is a type of testing that allows us to test the tiniest, programmable portion of a database entity. Because it allows us to test specific components of database objects to see if they perform as expected, SQL unit testing is an important part of the current database development cycle.
The following steps make up the QTP testing procedure:
When the testing is finished, QTP will prepare a report. This report will show the test results, including checkpoints, system alerts, and failures. The test results box will indicate any mismatches discovered at the checkpoints.
For altering table content, we can utilize commands like Insert, Update, Select, and Delete. Alter Table, Delete Table, and Create Table are the table statements used to create and manage tables.
Atomicity, Consistency, Isolation, and Durability are the four characteristics of an ACID. The term "everything" refers to a transaction property in a database.
Take a look at the following SQL code:
CREATE TABLE ACID_DEMO (X INTEGER, Y INTEGER, CHECK (X + Y = 50));
For two columns, X and Y, we'll check for ACID characteristics. On the table, there is also a constraint that the sum of the values in columns X and Y must always equal 50.
To write test cases from requirements, you must first conduct a thorough functional analysis of them. Then you evaluate suitable test case design methodologies for building the test cases, such as equivalence partitioning, black box design, cause-effect graphing, and so on. Yes, the specifications detail the AUT's capabilities in great detail.
Manual database testing is also a possibility. This necessitates human effort in observing the application's behavior as it is subjected to various manual test cases written by the testers. This can also include seeing how front-end applications behave after the backend database has been altered. Following the execution of the queries, we can manually check whether a record was created, changed, or destroyed in the database tables.
Consider a database system for student information. The activities performed on the Student tables database can be manually verified by seeing the status of the records after the query has been executed, or by inspecting the front end interface.
[ Learn Complete Manual Testing Tutorial ]
Before writing database test cases, you must have the following knowledge. ,
This is determined by the user interface of the front-end program. The following methods can be used to conduct tests:
Cal Procedure and Execute Procedure statements are used to call stored procedures, which are comparable to user-defined functions. Result sets are the most common outcome of these operations. The stored procedures are kept in a relational database management system (RDBMS) and are easily accessible to the applications.
The following procedures can be used to test these:
In database testing, you can utilize all SQL DDL, DML, DCL, and TCL statements.
1. DDL (Data Definition Language): This language includes all statements that can be used to define the database structure or schema.
CREATE, ALTER, DROP, TRUNCATE, COMMENT, and RENAME are statements that can be used in a programme.
2. DML (Data Manipulation Language): This language's statements can all be used to manage data within schema objects.
SELECT, INSERT, UPDATE, DELETE, MERGE, CALL, EXPLAIN PLAN, and LOCK TABLE are some of the statements available.
GRANT and REVOKE statements in DCL (Data Control Language).
3. TCL (Transaction Control Language): All TCL statements can be used to handle DML modifications. TCL allows you to create logical transactions by grouping statements together.
COMMIT, SAVEPOINT, ROLLBACK, and SET TRANSACTION are all statements that can be used.
Performance testing is the process of determining how well a system responds to a given workload and how stable it is. Speed, robustness, dependability, and application size are often examined using performance tests.
Performance testing is used to identify performance bottlenecks that might lead to poor user experience and even program failure. Slow response times, inadequate scalability, excessively long load times, system downtime, software bugs, and other issues are the most typical system bottlenecks.
When using the output database checkpoint and database check-in QTP, select the SQL manual queries option. When choosing the custom queries option, enter the "select" queries to collect the data from the database, and then compare the projected and actual results.
A join joins two or more tables together and displays the results as a single collection of data.
The following are the several types of joins in SQL:
There are four main forms of joins in Oracle/PLSQL.
In relational database design, normalization is a procedure that organizes data in order to reduce duplication. When we normalize a database, we separate it into two or more tables and link them together.
Indexes are database objects that are built on the basis of columns. They are regularly accessed in order to retrieve data fast. There are various types of indexes.
This Database Testing Interview Questions for Experienced may provide you with a better understanding of the types of questions you may be asked during a job interview.
Database testing guarantees that data collected from multiple sources in the database is correct and meets business needs. It aids in the analysis of risks associated with wrong data, the prevention of data loss due to incorrect transactions, and the proper verification of unauthorized data access. During testing to check the accuracy of the data, the Ui is given the highest priority in most applications. However, if there isn't a user interface or a view, it's critical to check the database's data quality.
Consider a banking application with a large number of users. It is critical to keep the following points in mind while testing the database:
Database testing follows the same methods as other types of testing. The procedures that are followed are as follows:
This testing entails examining database structures such as schema, tables, triggers, functions, and procedures, as well as the databases' servers. The types of structural testing are as follows:
1. Schema Testing: The precise schema name should map between the front-end and the back-end in this case. Because the schema of the tables may differ from the actual business requirement and the front-end applications in some circumstances, schema validation is highly significant. Unmapped tables, views, and columns must also be verified.
2. Tables Testing: This testing entails checking the names of tables as well as the columns within them. The names of the columns mapped to the frontend and backend should be the same, and the datatype and widths of the columns should match the business needs. It also entails putting table and column limitations to the test. Furthermore, indexes should be checked based on whether they are clustered or non-clustered, as well as their functionality.
3. Procedure and Function Testing: The testers must test the database's procedures and functions and validate for the following points:
4. Trigger testing: Trigger testing: Trigger testing is similar to process or functional testing in terms of testing rules. Aside from those rules, we must ensure that the triggers are triggered/executed at the appropriate times.
5. Database Server Testing: Tests on the database server Check to see if database configurations, RAM, CPU capacity, storage capacity, and other factors are in line with company needs.
A piece of procedural code that is run in reaction to specific events on a database table or view. The integrity of the database is preserved by the use of triggers. We use a common audit log to see if the trigger has been fired or not. Triggers cannot be triggered on the fly. When an associated action (insert, remove, or update) occurs on the table where they are declared, the trigger is triggered. Triggers are used to perform business rules, audits, and referential integrity tests, although constraints should be used instead of triggers wherever possible because constraints are considerably faster.
It is necessary to know the input parameters to database triggers and procedures in order to test them. It is also necessary to know the expected output for these functionalities. When procedures or triggers are executed, the EXEC statement can be used to determine how the tables will behave.
This can also be accomplished by writing SQL unit tests to verify the database objects that have been updated as a result of the triggers or procedures being executed. The three rules that apply to SQL unit tests are given below:
To begin, we must be aware of all the modifications and upgrades made in the new SQL server. Consider the following points when creating your test case suite based on this information:
SQL Constraints can be used to provide the rules for the database table's records. The action can be stopped if any constraints are not met. Constraints are defined when database objects are created. ALTER commands can also be used to change it. SQL has six major constraints:
Data load testing necessitates knowledge of the source and destination databases, as well as its objects such as tables, columns, design, constraints, and so on. Using the DTS package in SQL Enterprise Manager, we need to confirm the compatibility of the source and destination databases when running tests. We can do so by following the instructions below:
When multiple modules in an application use the same data and execute various operations on it, it's critical that the most recent data be displayed everywhere. Systems should use the most recent data value. Data Integrity is the term for this. The graphic below depicts five qualities of data that are present once data integrity has been established:
The following test scenarios can be used to determine the data's integrity:
While performing database testing, the following are some important practises keeping in mind:
The following test cases can be used to evaluate the tables and columns in databases:
The below table shows the difference between GUI Testing and Database Testing:
|GUI TESTING||DATABASE TESTING|
|Front-end testing is another term for user interface testing.||Data testing is another name for backend testing.|
|Tests all testable components in the programme that are visible to the user, such as forms, buttons, menus, and so on.||Tests all testable items which are not visible to users but are critical to the system's correct operation.|
|The tester does not need to be an expert in SQL.||To run queries and validate data, a tester must be familiar with database technologies such as SQL|
|It mostly concerns the software application's appearance and feelings.||Data integrity, schema validation of the structures where the data sits, validating data duplication, referential integrity, and everything else related to data are the main topics of discussion.|
|Katalon Studio, RAPISE by Inflectra, TestComplete, Abbot Java GUI Test Framework, and AutoIt UI testing are some of the technologies we utilize for GUI testing.||Database Rider, Db Stress, DbUnit, DB Test Driven, and others are some of the tools available.|
To test the Stored Procedures, the test engineer must follow a set of steps.
In the software testing area, the necessity for accurate data has increased dramatically. As a result, database testing aids in ensuring the data's accuracy, integrity, and truthfulness. We hope the above-covered database testing questions are useful for both newcomers and professionals.
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Madhuri is a Senior Content Creator at MindMajix. She has written about a range of different topics on various technologies, which include, Splunk, Tensorflow, Selenium, and CEH. She spends most of her time researching on technology, and startups. Connect with her via LinkedIn and Twitter .
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