Micro Moulds and Plastics Softwaretest Engineer Interview Questions and Answers

Intermediate DSA questions on strings

It's bit about the case study related to continuos data and need to find the n highest number at any given time .

Q1. What is a bloom filter in hbase ?
Ans. 
A bloom filter in HBase is a data structure used to test whether a given element is a member of a set.
• Bloom filters are used to reduce the number of disk reads in HBase by quickly determining if a row may exist in a table.

• They are implemented as a compact array of bits, with multiple hash functions used to map elements to bits.

• Bloom filters can produce false positives but not false negatives, making them useful for pre...read more
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Q2. Write a query to remove duplicate rows in pyspark based on primary key.
Ans. 
Use dropDuplicates() function in pyspark to remove duplicate rows based on primary key.
• Use dropDuplicates() function on the DataFrame with the primary key column specified.

• Specify the subset parameter in dropDuplicates() to specify the primary key column.

• Example: df.dropDuplicates(['primary_key_column'])
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Q1. Javascript related
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Q1. Javascript related concepts
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Q1. Some basic inheritance and overloading questions
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Q2. Prepare for interface with same methods in one base class
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Q1. Phone interview
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Q1. Project technical questions
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Q1. Project technical based question
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Q1. Behavioural based questions
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In the coding test, there were 2 problems based on arrays and hashing (easy to medium level leetcode)

Q1. Several OOP questions were asked.... like, Can we have a class inside an interface? Can we have a static constructor? Can we have multiple main methods?
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Q2. DBMS question: Normalization questions and keys concepts.
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Q1. DSA question (stack based) You have a stack full of numbers, you have to arrange them in ascending order in the same stack without using any other data structure.
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Q2. OS and DBMS questions(sharding, semaphores, etc.)
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Q1. Questions based on Consultadd principles.
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Q1. How does consumer, producer work in kafka
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Consumers read data from topics, while producers write data to topics in Kafka.
• Consumers subscribe to topics to read messages from them

• Producers publish messages to topics for consumers to read

• Consumers can be part of a consumer group to scale out consumption

• Producers can specify key for messages to control partitioning
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Q1. Role check
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Q2. Tech stackP
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Q1. Project based questions
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Q2. AWS related questions
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