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I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
Optimizing SQL queries involves using indexes, avoiding unnecessary joins, and optimizing the query structure.
Use indexes on columns frequently used in WHERE clauses
Avoid using SELECT * and only retrieve necessary columns
Optimize joins by using INNER JOIN instead of OUTER JOIN when possible
Use EXPLAIN to analyze query performance and make necessary adjustments
Performance optimization in Spark involves tuning configurations, optimizing code, and utilizing caching.
Tune Spark configurations such as executor memory, number of executors, and shuffle partitions.
Optimize code by reducing unnecessary shuffles, using efficient transformations, and avoiding unnecessary data movements.
Utilize caching to store intermediate results in memory and avoid recomputation.
Example: In my projec...
SparkContext is the main entry point for Spark functionality, while SparkSession is the entry point for Spark SQL.
SparkContext is the entry point for low-level API functionality in Spark.
SparkSession is the entry point for Spark SQL functionality.
SparkContext is used to create RDDs (Resilient Distributed Datasets) in Spark.
SparkSession provides a unified entry point for reading data from various sources and performing
When a spark job is submitted, various steps are executed at the backend to process the job.
The job is submitted to the Spark driver program.
The driver program communicates with the cluster manager to request resources.
The cluster manager allocates resources (CPU, memory) to the job.
The driver program creates DAG (Directed Acyclic Graph) of the job stages and tasks.
Tasks are then scheduled and executed on worker nodes ...
Calculate second highest salary using SQL and pyspark
Use SQL query with ORDER BY and LIMIT to get the second highest salary
In pyspark, use orderBy() and take() functions to achieve the same result
The two types of modes for Spark architecture are standalone mode and cluster mode.
Standalone mode: Spark runs on a single machine with a single JVM and is suitable for development and testing.
Cluster mode: Spark runs on a cluster of machines managed by a cluster manager like YARN or Mesos for production workloads.
Client mode is better for very less latency due to direct communication with the cluster.
Client mode allows direct communication with the cluster, reducing latency.
Standalone mode requires an additional layer of communication, increasing latency.
Client mode is preferred for real-time applications where low latency is crucial.
I applied via campus placement at MAEER's MIT College of Engineering, Pune and was interviewed in Nov 2024. There were 3 interview rounds.
The aptitude test was successful, covering various topics such as ratios and proportions, percentages, blood relations, boat and stream problems, highest common factor (HCF) and least common multiple (LCM), volume and surface area, time and work, as well as questions related to profit and loss, and speed, distance, and time.
In the coding test 1 question for coding and another 2 for debugging were asked.
I am a recent graduate with a degree in Computer Science and a passion for coding and problem-solving.
Recent graduate with a degree in Computer Science
Passionate about coding and problem-solving
Experience with programming languages like Java, Python, and C++
Polymorphism is the ability of a function or method to behave differently based on the object it is acting upon.
Polymorphism allows objects of different classes to be treated as objects of a common superclass.
There are two types of polymorphism: compile-time (method overloading) and runtime (method overriding).
Example: Inheritance in OOP allows a child class to override a method from its parent class, exhibiting polymo
I applied via Campus Placement
Percentage and averages, number and alphabet series, compound interest (CI) and simple interest (SI).
Basic programs include: 1. A program to perform the addition of two numbers, 2. A program to print a star pattern, and 3. A program to generate a triangle output, among others.
We faced challenges related to communication, resource allocation, and project timelines.
Communication breakdown between team members
Limited resources available for the project
Struggling to meet project deadlines
In five years, I see myself as a senior consultant leading projects and mentoring junior team members.
Advancing to a senior consultant role
Leading projects and teams
Mentoring junior team members
Continuing professional development through training and certifications
Strategies to overcome failures include learning from mistakes, staying positive, seeking feedback, and setting new goals.
Learn from mistakes by analyzing what went wrong and how to improve
Stay positive and maintain a growth mindset to bounce back from setbacks
Seek feedback from mentors or colleagues to gain different perspectives
Set new goals and create a plan to move forward with renewed motivation
Yes, I thrive under pressure and can effectively manage my time and priorities to meet deadlines.
I have experience working in fast-paced environments where quick decision-making and adaptability are key.
I am able to stay calm and focused under pressure, allowing me to deliver high-quality work even in challenging situations.
I prioritize tasks effectively to ensure that deadlines are met without compromising on quality.
...
What people are saying about LTIMindtree
Basic aptitude question.
Basic coding question.
I have strong problem-solving skills and attention to detail.
I have experience in root cause analysis to identify and resolve quality issues.
I am proficient in statistical analysis to improve processes and reduce defects.
I have a track record of implementing quality control measures to ensure product reliability.
I pay close attention to detail in all aspects of my work to maintain high quality standards.
LTIMindtree interview questions for popular designations
Basic core computer concepts and technology related questions
Abstraction is the concept of hiding complex implementation details and showing only the necessary features. Interfaces define a contract for classes to implement.
Abstraction allows us to focus on what an object does rather than how it does it
Interfaces define a set of methods that a class must implement, without specifying how they are implemented
Abstraction and interfaces help in achieving loose coupling and flexibil...
Array lists are dynamic in size, while arrays have fixed sizes.
Array lists can grow or shrink in size dynamically, while arrays have a fixed size.
Array lists are implemented using dynamic arrays, while arrays are static data structures.
Array lists provide methods for adding, removing, and accessing elements easily, while arrays require manual resizing and shifting of elements.
Example: ArrayList<String> vs String[
I am open to relocating for the right opportunity.
I am willing to move to different locations for career growth
I understand the importance of being flexible with relocation for job opportunities
I have experience moving for previous job opportunities, such as relocating for internships or projects
Get interview-ready with Top LTIMindtree Interview Questions
I applied via Campus Placement
The first round of the interview consisted of a 100-question aptitude test.
I applied via Campus Placement and was interviewed in Nov 2024. There were 3 interview rounds.
There were verbal, non verbal, reasoning , English and maths questions
I worked on a project analyzing customer behavior using machine learning algorithms.
Used Python for data preprocessing and analysis
Implemented machine learning models such as decision trees and logistic regression
Performed feature engineering to improve model performance
Proficient in Python, R, and SQL with experience in data manipulation, visualization, and machine learning algorithms.
Proficient in Python for data analysis and machine learning tasks
Experience with R for statistical analysis and visualization
Knowledge of SQL for querying databases and extracting data
Familiarity with libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn
I currently stay in an apartment in downtown area.
I stay in an apartment in downtown area
My current residence is in a city
I live close to my workplace
I am a data science enthusiast with a strong background in statistics and machine learning.
Background in statistics and machine learning
Passionate about data science
Experience with data analysis tools like Python and R
I applied via Campus Placement and was interviewed in Nov 2024. There were 3 interview rounds.
Basic aptitude questions
I applied via Campus Placement and was interviewed in Nov 2024. There were 2 interview rounds.
It involves the question of SQL, programming.
OOP is used for organizing code into reusable objects, promoting code reusability, modularity, and easier maintenance.
Encapsulation: Data and methods are bundled together in objects, promoting data security and code organization.
Inheritance: Allows for the creation of new classes based on existing ones, promoting code reuse and reducing redundancy.
Polymorphism: Objects can be treated as instances of their parent class,...
Multiple inheritance is a feature in object-oriented programming where a class can inherit attributes and methods from more than one parent class.
Allows a class to inherit attributes and methods from multiple parent classes
Can lead to the diamond problem where ambiguity arises if two parent classes have a method with the same name
Languages like C++ support multiple inheritance
Polymorphism is the ability of a single function or method to operate on different types of data.
Polymorphism allows objects of different classes to be treated as objects of a common superclass.
There are two types of polymorphism: compile-time (method overloading) and runtime (method overriding).
Example: Inheritance in object-oriented programming languages like Java allows for polymorphism.
Example: A method 'draw()' ca...
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The duration of LTIMindtree interview process can vary, but typically it takes about less than 2 weeks to complete.
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