Aqua Information Systems Interview Questions

Sony India Software Center Interview Rounds and Process

aqua information systems interview questions

Explain the three different types of data models.

  • Conceptual data model- The conceptual data model contains all key entities and relationships but does not contain any specific details on attributes. It is typically used during the initial planning stage. Data modelers construct a conceptual data model and pass it to the functional team for assessment. Conceptual data modeling refers to the process of creating conceptual data models.
  • Physical data model- The physical data model includes all necessary tables, columns, relationship constraints, and database attributes for physical database implementation. A physical models key parameters include database performance, indexing approach, and physical storage. A table, which consists of rows and columns and is connected to other tables through relationships, is the most essential or principal object in a database. Physical data modeling is the process of creating physical data models.
  • Logical data model- A logical data model is a data model that defines an organizations business requirements (in its entirety or in part). This is the process of putting a conceptual data model into action and extending it. Entity, Attribute, Super Type, Sub Type, Primary Key, Alternate Key, Inversion Key Entry, Rule, Relationship, Definition, etc., are all present in logical data models. The process of creating logical data models is known as logical data modeling.
  • Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers

    1 Define normalization.

    The method of effectively organizing data in a database is known as normalization. The normalization process helps in:

  • removing redundant data (for example, storing data in multiple tables) and
  • ensuring data integrity.
  • Normalization is useful for minimizing data storage and logically storing data in multiple tables.

    1 What do you understand by data models? What is data modelling?

    A data model is a visual description of business needs (logical data model) or database objects (physical data model) needed for a database, and its particularly useful for defining and interpreting such objectives and entities.

    The practice of using words and symbols to represent data and how it flows in a basic representation of a software system and the data elements it contains is called data modelling. Overall, data modelling assists an organization in successfully using its data to satisfy business information needs.

    9 How can you build domains in the ERwin Tool?

    Along with the pre-existing domains, you can add new domains using the Domain Editor. When you are in logical edit mode or a physical model, you can build a domain (physical edit mode). Depending on the edit mode, several choices are available in the editor.

    4 What is Amazon Aurora?

    Amazon Aurora is a high-availability, automated failover relational database engine that supports MySQL and PostgreSQL. To put it another way, Amazon Aurora is a hybrid of MySQL and Postgres. Aurora is a multi-threaded, multiprocessor database engine that prioritizes performance, availability, and operational efficiency.

    Amazon Aurora differs from typical MySQL and Postgres database engines in that it does not employ a Write-Ahead Log, but it does feature a crash recovery scheme. Amazon also provides the feature to duplicate data from an Amazon Aurora database to a MySQL or Postgres database on the same instance, as well as vice versa, allowing you to employ the two databases together.

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    TOP 10 Management Information systems Interview Questions and Answers 2019 Part-1 |WisdomJobs

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