Manual database testing interview questions


















Study recommended answers to common questions and craft your own succinct but deeply knowledgeable answers. Take notes, ask mentors and colleagues for tips and advice, and practice your most confident and relatable voice and posture. Rehearse interview questions and your intended answers aloud, or recruit a friend to provide feedback. Practicing the interview can help you relax when the real interview happens, and it can also significantly improve the delivery of your responses.

Rehearsing for the interview should refresh your skills and knowledge, polish your response delivery and help you conquer the interview to get the job. Practice answering the technical questions above as well as general interview questions about you as a person. Remember to let your passion for your work show without being overly dramatic.

Most importantly, be yourself. Practicing for the interview will help you present the best version of yourself. Find jobs. Company reviews. Find salaries. Upload your resume. Sign in. Career Guide. To check Trigger is fired or not you can check in audit logs. Triggers are used to apply business rules, auditing and also for the referential integrity checks.

First, get the functional requirement. Then, understand the table structure, Joins, Cursors and Triggers, Stored procedure used, and other parameters. Next, you can write a test-case with different values as input to these objects.

DB testing involves testing of back-end components which are not visible to users. Front-end testing involves checking functionalities of an application and its components like forms, graphs, menus, reports, etc. These components are created using front-end development tools like VB. The process to perform database testing is similar to testing of other applications.

Various SQL statements are used to develop the Test cases. A view is a table that does not really exist in its own right but is instead derived from one or more base table. In other words, there is no stored file that direct represents the view instead a definition of view is stored in data dictionary. Growth and restructuring of base tables is not reflected in views.

Thus the view can insulate users from the changes in the database. Hence accounts for logical data independence. It is a process of decomposing a table into multiple tables without losing any information.

Indexing is a technique for determining how quickly specific data can be found. It is used for query performance optimization. SQL is a Structured Query language that is designed specifically for data access operations on normalized relational database structures. The primary difference between SQL and other conventional programming languages is that SQL statements specify what data operations should be performed rather than how to perform them.

Stored procedures are used to perform a user defined operation. A stored procedure can have a set of compound SQL statements. A stored procedure executes the SQL commands and returns the result to the client.

This is a file copy, usually from the disk directly to tape. You must shut down the instance to guarantee a consistent copy. If a cold backup is performed, the only option available in the event of data file loss is restoring all the files from the latest backup. All the changes that are performed after the last backup is lost.

For these types of database we use hot backup. SQL subquery is a means of querying two or more tables at the same time. Some subqueries have equivalent SQL join structures, but correlated subqueries cannot be duplicated by a join. You can go to the database and run a relevant SQL query.

In WinRunner, you can use database checkpoint function. A database is a collection of information in an organized form for faster and better access, storage and manipulation.

It can also be defined as a collection of tables, schema, views and other database objects. It is AKA back-end testing or data testing. Database testing involves in verifying the integrity of data in the front end with the data present in the back end. It validates the schema, database tables, columns, indexes, stored procedures, triggers, data duplication, orphan records, junk records. It involves in updating records in a database and verifying the same on the front end.

DB Testing can be categorized into 3 categories based on the functions and structure of a database. Data driven testing is used in the process of testing where we want to pass multiple test data.

Generally, we pass different sets of data in our scripts instead of passing hard coded values each time. It helps us to verify the efficiency of the application in handling different inputs. Step 1: In a testing perspective, first we need to understand the requirement of a particular stored procedure. Step 2: Check whether all the required indexes, updates, deletions, joins are correctly specified in comparing with tables mentioned in the Stored Procedure.

Step 3: Check the procedure calling name, calling parameters and expected responses for different sets of input parameters. Step 5: Rerun the procedures by passing different parameters and verify the results against expected values. Triggers in SQL are used to maintain the integrity of the data present in the database. By querying the common audit logs, we can verify whether a trigger is fired or not. How do you verify whether a database is updated when passing the data through front end?

Blackbox testers usually verify whether the data is available or not in the frontend by going through reports or some other screen where the data can be viewable. If there is no page in the front end to view the data, then there is an option to verify the data in the back end by running SQL queries. To write database test cases, you need to have knowledge on following First step to do this is to know the functional requirement of the application. Next step is to check back end database tables, joins, cursors, triggers, stored procedures, input and output parameters.

Testing database manually involves verifying the data entered in the front end is available in the back end or not.



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