Infosys Architect Interview Questions and Answers

We will implement a comprehensive digital strategy that includes automation, data analytics, and cloud computing.

• Develop a roadmap for digital transformation

• Identify key areas for automation and implement appropriate tools

• Leverage data analytics to gain insights and improve decision-making

• Migrate to cloud-based infrastructure for scalability and cost savings

• Train employees on new technologies and processes

• Continuously

Architectural methods involve understanding client requirements, analyzing site conditions, creating design concepts, and refining the solution.

• Understand client's needs and preferences

• Analyze site conditions and constraints

• Create design concepts and present to client

• Refine the solution based on feedback

• Consider budget and timeline constraints

• Collaborate with engineers and contractors

• Ensure compliance with building cod

Designing test data content for different flavors of DB

• Identify the data types and structures for each DB flavor

• Create test data that covers all possible scenarios and edge cases

• Ensure data consistency and accuracy across all DB flavors

• Consider performance and scalability factors for distributed DBs

• Include mainframe-specific data such as EBCDIC encoding and packed decimal formats

New technologies of DBMS are constantly emerging to improve data management and analysis.

• New SQL databases like CockroachDB and TiDB are gaining popularity for their scalability and distributed architecture.

• NoSQL databases like MongoDB and Cassandra are widely used for their flexibility and ability to handle unstructured data.

• Graph databases like Neo4j and OrientDB are becoming popular for their ability to handle compl...read more

Factors considered while choosing automation tool

• Compatibility with the technology stack

• Ease of use and learning curve

• Scalability and flexibility

• Integration with other tools

• Cost and licensing

• Support and community

• Reporting and analytics capabilities

A tool is better than another if it is more efficient, effective, and user-friendly.

• Efficiency: A tool that can perform a task faster and with less effort is better.

• Effectiveness: A tool that can produce better results is better.

• User-friendliness: A tool that is easy to use and understand is better.

• Examples: A hammer is better than a rock for driving nails. A power drill is better than a manual screwdriver for drilling