Project Day: Message handling server • Development environment: Eclipse • Help tools: Internet • Time frame: as much as you need (here at NICE). • Target products: o Message Client: Requirements: Web Application that enables user to send several types of messages: integers, fractions, strings, etc... (The data in the message should be in numeric form. E.G 6, 1/7, "6") and see the prints from the server. o Message Server: Requirements: • The solution should implement 2 message servers which can handle several types of messages that were sent from client web application • Server I: • The server should be able to receive several messages from different clients simultaneously • there should be a message handler which handle the messages and sends the messages sequentially to the second server • Server 2: • Should receive each message, print it in its original form, and perform it summation of all the data. o Documentation: • Design document: In this document you should describe the way you are going to implement your application. You should describe there as much as you can (Architecture, Data structure, Algorithms, components that you are going to use). • Unit test document: In this document you should describe the scenarios that you are going to perform in order to debug your application. After all these scenarios pass with sent expected result there shouldn't be any bugs in the application. • Your goals o Design the class diagram o Review the proposed solution o Implement the server and client applications • General directions: o The first priority is a complete solution which implements all specified requirements with as few bugs as possible o Industrial code standards should be used both for the main issues (performance, readability, etc.) and for the cosmetic issues (clean code, formatted code, documentation) o After completing each step, it should be presented before moving to the next step Good Luck
Big Data Analyst Interview Questions
1,784 big data analyst interview questions shared by candidates
What do you know about repartition?
i) Spark architecture ii) Difference between RDDs, DataFrames and Datasets iii) What is fault tolerance and how does spark handle it iv) Memory management and garbage collection in Spark v) One SparkSQL based question vi) One PySpark based question vii) ETL implementation in AWS Glue
Explain the specific challenges or obstacles you faced. Action: Detail the steps you took to address the challenge. Highlight your critical thinking, technical skills, and any tools or methodologies you used.
More on java spark and hive if you able to make the concept clear to them there is a chance and the two person took my interview both with good knowledge of same. Overall simple process and they are very co-operate.
Multi Threading, method override, Map R questions, hadoop cluster configurations,
About my previous Project
Exprience on big data. Some problems to solve. About, acid and agile metodology.
no need to share, waste of time
Technical questions and management related questions
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