HCLTech Senior Lead Interview Questions and Answers for Experienced

Very detailed as they take an aptitude oral interview which you have to clear before they reach technical round.

Q1. Very easy don't worry about anything they will ask easy questions
Add your answer
Q2. What is the name of the father of civil engineering
Ans. 
The father of civil engineering is John Smeaton.
• John Smeaton was a British civil engineer who is considered the father of civil engineering.

• He was the first person to call himself a civil engineer and is known for his work on the Eddystone Lighthouse.

• Smeaton's work laid the foundation for modern civil engineering practices.

• He also designed bridges, canals, and harbors, and was a founding member of the Society of Civil
Answered by AI
Add your answer

Q1. Few scenario based questions in Loadrunner Html and Url mode difference Correlation explain LR functions Recording options Pacing and think time 90 and 95th percentile explain Ordinal value explain in cor...read more
Add your answer
Q2. Generic questions in Performance testing like: End to end performance testing life cycle Challenges in scripting or recording or execution Performance bottlenecks Issues faced in my project and what was th...read more
Add your answer
Q3. Few basic questions in Jmeter Execution order of jmeter elements What all listeners used Assertions used Beanshell processor or sampler How do we analyse results in jmeter Disadvantages of jmeter Which 1 ...read more
Add your answer

Q1. Challenges in performance testing
Ans. 
Performance testing challenges include identifying bottlenecks, simulating real-world scenarios, and analyzing results.
• Identifying bottlenecks in the system

• Simulating real-world scenarios to accurately test performance

• Analyzing results to identify areas for improvement

• Ensuring test environment is representative of production environment

• Managing test data and test scripts

• Dealing with network latency and other external f...read more
Answered by AI
View 1 more amswer
Q2. Monitoring tools and what metrics we capture during or after testing
Ans. 
Monitoring tools and metrics for testing
• We use tools like Nagios, Zabbix, and Prometheus for monitoring

• Metrics captured include response time, error rate, CPU usage, memory usage, and network traffic

• We also capture user behavior metrics like click-through rate and conversion rate

• Monitoring helps us identify issues and optimize performance
Answered by AI
View 1 more amswer
Q3. Performance Bottlenecks
Add your answer
Q4. My roles and responsibilities in previous company as a performance tester
Ans. 
As a performance tester in my previous company, my roles and responsibilities included analyzing system performance, designing and executing performance tests, identifying bottlenecks, and providing recommendations for improvement.
• Analyzed system performance to identify areas of improvement

• Designed and executed performance tests to measure system response time and scalability

• Identified bottlenecks and performance issue...read more
Answered by AI
Add your answer
Q5. Few basic questions about Jenkins, New Relic as I had knowledge on those tools
Add your answer

Q1. Design and Testing related questions
Add your answer
Q2. GD&T questions, Manufacturing process, material science, semiconductor questions
Add your answer

Q1. Excel macros questions
Add your answer

Q1. Situation and priority, customer handling, pressure handling
Add your answer

Q1. Roles and responsibilities, team management and customer handling questions
Add your answer

Q1. What was ur roles and responsibilities
Add your answer

Q1. What is spark increment data load
Ans. 
Spark increment data load is a process of loading only the new or updated data into an existing dataset.
• It helps in reducing the processing time and resources required for loading the entire dataset.

• It involves identifying the changes in the source data and only loading those changes into the target dataset.

• Spark provides various APIs and tools to perform incremental data loading such as Delta Lake and Structured Strea...read more
Answered by AI
Add your answer
Q2. What are the spark configurations
Ans. 
Spark configurations are settings that determine how Spark applications run on a cluster.
• Spark configurations can be set using command-line arguments, properties files, or programmatically in code.

• Configurations can control various aspects of Spark, such as memory usage, parallelism, and logging.

• Examples of Spark configurations include spark.executor.memory, spark.driver.cores, and spark.eventLog.enabled.
Answered by AI
Add your answer
Q3. What is broadcast join
Ans. 
Broadcast join is a type of join operation in distributed computing where a small table is broadcasted to all nodes for joining with a larger table.
• Broadcast join is used in distributed computing to optimize join operations.

• It involves broadcasting a small table to all nodes in a cluster.

• The small table is then joined with a larger table on each node.

• This reduces the amount of data that needs to be shuffled across the ...read more
Answered by AI
Add your answer
Q4. What is catalyst optimizer
Ans. 
Catalyst optimizer is a tool used in computer programming to improve the performance of code by optimizing the execution process.
• It is used in programming languages like Python, Scala, and Spark.

• It analyzes the code and makes changes to improve its efficiency.

• It can improve the speed of code execution and reduce memory usage.

• Examples include PySpark's Catalyst optimizer and Scala's Catalyst optimizer.
Answered by AI
Add your answer
Q5. What is tungsten project in spark
Ans. 
Tungsten is a project in Spark that provides a high-level API for distributed data processing.
• Tungsten optimizes Spark's execution engine by using memory management and binary processing.

• It improves performance by reducing garbage collection overhead and CPU usage.

• Tungsten also provides a new columnar storage format called Catalyst that improves query performance.

• Example: Tungsten can be used to process large datasets ...read more
Answered by AI
Add your answer
Q6. What is serialization in spark
Ans. 
Serialization is the process of converting data into a format that can be stored or transmitted.
• In Spark, serialization is used to convert data into a format that can be sent over the network or stored in memory.

• Spark supports two types of serialization: Java serialization and Kryo serialization.

• Kryo serialization is faster and more efficient than Java serialization.

• Serialization is important in Spark because it allows...read more
Answered by AI
Add your answer
Q7. How to convert unstructured data to structure data
Ans. 
Unstructured data can be converted to structured data by using techniques such as data mining, natural language processing, and machine learning.
• Identify the relevant data points and attributes

• Use data mining techniques to extract patterns and relationships

• Apply natural language processing to extract meaning from text

• Use machine learning algorithms to classify and categorize data

• Transform the data into a structured for
Answered by AI
Add your answer
Q8. Write a spark submit command
Ans. 
Spark submit command to run a Scala application on a cluster
• Include the path to the application jar file

• Specify the main class of the application

• Provide any necessary arguments or options

• Specify the cluster manager and the number of executors

• Example: spark-submit --class com.example.Main --master yarn --num-executors 4 /path/to/application.jar arg1 arg2
Answered by AI
Add your answer
Q9. Write a program to reverse a string
Ans. 
A program to reverse a string
• Create an empty string to store the reversed string

• Loop through the original string from the end to the beginning

• Add each character to the new string

• Return the new string
Answered by AI
Add your answer
Q10. How to read file name in spark
Ans. 
To read file name in Spark, use the 'input_file_name' function.
• Use 'input_file_name' function in Spark to read file name.

• This function returns the name of the file being processed.

• Example: df.select(input_file_name().alias('filename')).show()

• This will show the file name in a new column named 'filename'.
Answered by AI
Add your answer