Tech Mahindra SMART Academy Associate Interview Questions and Answers

Q1. About, Details about last company
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Q2. Discussion of CTC
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Q1. Why you joining?
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Q1. Basic coding like Count and printing no. of objects created, Count no. of characters in a String.
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Q2. Basic Java CORE questions
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Q1. Security aspect in Microservices
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Security in Microservices involves implementing authentication, authorization, encryption, and monitoring to protect against threats.
• Implement authentication and authorization mechanisms to control access to microservices.

• Use encryption to secure communication between microservices.

• Implement monitoring and logging to detect and respond to security incidents.

• Consider using API gateways for centralized security control.

• R...read more
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Q2. Concurrency Handling
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Prime numbers,reverse a string

Q1. DSA, python,java questions
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Q1. Company policy,work culture
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Q1. Basic Qustions JS
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Q2. Intermediate topics JS
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Q1. Tell me something abt you
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Q2. Why it makes u think you are fit for this job
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Q1. How will you manage in another city away from home?
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Q1. What do you expect from upGrad as a employee?
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Q1. What is the required interpersonal skills for customer support?
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Good questions Everything Went Well

Q1. DataFrames and DatasetsHow do you create a DataFrame in PySpark?Explain the difference between a DataFrame and a Dataset in Spark.How can you perform joins in PySpark DataFrames? Give examples.What are som...read more
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Creating and working with DataFrames in PySpark
• To create a DataFrame in PySpark, you can use the createDataFrame() method from the SparkSession object.

• DataFrames are structured and immutable collections of data, while Datasets are distributed collections of data with additional features like type-safety.

• To perform joins in PySpark DataFrames, you can use the join() method with the appropriate join type (inner, outer, l...read more
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Q2. From pyspark.sql import DataFrame, SparkSession from pyspark.sql.functions import col, explode_outer from pyspark.sql.types import ArrayType, StructType def flatten(df: DataFrame) -> DataFrame: # Init...read more
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Q1. General question they asked about the job profile
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Q1. Related to job profile
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Q1. About the final year project for freshers
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Q2. Self introduction and questions from resume
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