Analyst (IT Advisory)

Analyst (IT Advisory) Interview Questions and Answers

Updated 12 Jul 2025

Asked in TCS

3d ago

Q. What are the requirements gathering techniques?

Ans.

Requirement gathering techniques are methods used to collect and document requirements for a project.

  • Interviews with stakeholders

  • Surveys and questionnaires

  • Observation and job shadowing

  • Prototyping and mockups

  • Focus groups

  • Brainstorming sessions

  • Document analysis

  • Storytelling

  • Use case modeling

Asked in TCS

4d ago

Q. What is a distributed management system?

Ans.

A distributed management system is a software system that manages a network of computers or devices from a central location.

  • Distributed management systems allow for centralized control and monitoring of a network.

  • They can be used to manage a variety of devices, including servers, routers, and switches.

  • Examples of distributed management systems include Microsoft System Center, IBM Tivoli, and HP OpenView.

Asked in Infosys

2d ago

Q. What is SDLC?

Ans.

SDLC stands for Software Development Life Cycle.

  • It is a process used by software development teams to design, develop, and test high-quality software.

  • It consists of several phases including planning, analysis, design, implementation, testing, and maintenance.

  • Each phase has its own set of deliverables and objectives that must be met before moving on to the next phase.

  • It helps ensure that software is developed efficiently, on time, and within budget.

  • Examples of SDLC models incl...read more

Asked in TCS

6d ago

Q. What is big data?

Ans.

Big data refers to large and complex data sets that cannot be processed using traditional data processing methods.

  • Big data is characterized by the 3Vs - volume, velocity, and variety.

  • It requires specialized tools and techniques such as Hadoop, Spark, and NoSQL databases.

  • Big data is used in various industries such as healthcare, finance, and retail to gain insights and make data-driven decisions.

  • Examples of big data include social media data, sensor data, and transactional dat...read more

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