Interview Question Bank

104. What personal software development projects have you worked on outside of work?

105. How would you implement Dijkstra's Shortest Path using a programming language with which you are familiar?

106. Which do you prefer - a micro-service approach or a monolithic app?

107. Walk me through the steps to build a single page application with multiple sections using the programming framework in which you typically work.

108. How do you go about organizing CSS files, and why do you prefer this approach?

110. What process do you use to test and find bugs in an application you've developed?

111. How do you go about addressing errors in your code?

112. Describe the process you use to create a program, from requirements definition to delivery.

113. Walk me through your process for designing scalable applications.

115. How would you accelerate the response time of a website you created for us here at Amazon?

116. What are some of the programming languages you are familiar with, and which ones do you prefer?

117. Please describe responsive design and the difference between fixed and fluid layouts.

118. How would you go about explaining Amazon's cloud computing environment to someone who doesn't have a technical background?

119. What do you look for or check when reviewing another team member's code?

120. What do you feel are the critical principles of good software engineering?

121. Can you define black box testing and white box testing and discuss the differences between them?

122. Can you describe the functions of web workers in HTML5?

123. What are the differences between blocking and non-blocking calls in the context of Node.js?

125. Please describe a stack and the two operations it performs.

126. What are the differences between an array and a stack?

127. Estimating the Number of Pianos in New York City

131. Please walk us through your professional experience and career journey to date.

133. Could you discuss your machine learning project and the specific challenges and solutions involved?

137. What motivates you to join our company as a Machine Learning Engineer?

148. Describe a situation where you encountered a challenging bug

153. Discuss your experience with data structures, machine learning use cases, particularly in natural language processing (NLP), and the importance of APIs.

169. Tell me a Google product you use regularly and recommend a change in it?

181. How did you navigate the cloud system in the previous role

184. How does your future work tie in with Google?

189. Can you discuss your familiarity with CRM software?

192. How would you improve a Google product which I currently use?

193. Difference between Webdriver and IP address

204. Can you please explain your past position as a dev?

208. How do you build a better elevator system?

209. How do you think Google monetizes?

217. Explain about projects in college

237. Can you walk me through your previous work experience and how it has prepared you for this role?

243. How do you stay updated with industry trends and technologies relevant to your field?

247. How would you improve a healthcare-based software whose users complain about slow results?

248. Determining the jar with heavier marbles using one weight measurement

253. They ask about your research project

258. Name main competitors of Google

263. How would you start a new business entity?

264. How many light bulbs were sold last year in the UK?

274. Recent cases that Google is involved in

279. Answered general problem-solving questions and a case study about considerations for a robot moving around a cafe

287. There were many questions based on my skills and others

291. Tell me about your favorite project you've worked on.

292. How big is the sun?

293. Tell me about yourself; what was your journey into data?