Book Image

Cracking the IT Architect Interview

By : Sameer Paradkar
Book Image

Cracking the IT Architect Interview

By: Sameer Paradkar

Overview of this book

An architect attends multiple interviews for jobs or projects during the course of his or her career. This book is an interview resource created for designers, consultants, technical, solution, domain, enterprise, and chief architects to help them perform well in interview discussions and launch a successful career. The book begins by providing descriptions of architecture skills and competencies that cover the 12 key domains, including 350+ questions relating to these domains. The goal of this book is to cover all the core architectural domains. From an architect’s perspective, it is impossible to revise or learn about all these key areas without a good reference guide – this book is the solution. It shares experiences, learning, insights, and proven methodologies that will benefit practitioners, SMEs, and aspirants in the long run. This book will help you tackle the NFR domain, which is a key aspect pertaining to architecting applications. It typically takes years to understand the core concepts, fundamentals, patterns, and principles related to architecture and designs. This book is a goldmine for the typical questions asked during an interview and will help prepare you for success!
Table of Contents (14 chapters)


Emerging technologies such as big data, data science, and advanced visualization are allowing companies to ingest, process, and visualize information beyond the capabilities of conventional business intelligence and data warehouse environments. These forces are behind a new level of analytics which in turn create business value and innovation through improved decision making.

Analytics take social data, combine it with other data sources, and enable improved business decision making. These decisions affect the way products and services are marketed, sold, and provided to end users through both traditional and mobile channels.

Can you outline various steps in an analytics project?

The following are the various steps in an analytics project:

  1. Problem definition: The first step is to, articulate the business and technical requirements. The step requires understanding the business problem and then converting the business problem into the analytics problem. It is necessary to establish...