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Concord Technologies Data Annotation Engineer Interview Questions and Answers

Updated 30 Mar 2023

Concord Technologies Data Annotation Engineer Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Mar 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. What do you know about data annotation?
  • Ans. 

    Data annotation is the process of labeling data to make it usable for machine learning algorithms.

    • Data annotation involves adding metadata to raw data to make it understandable for machines.

    • It is used to train machine learning models and improve their accuracy.

    • Examples of data annotation include image labeling, text tagging, and speech recognition.

    • Data annotation can be done manually or with the help of automated tools...

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Are you ok with this package
  • Ans. 

    Yes, I am okay with this package.

    • I have experience working with similar packages.

    • I am familiar with the tools and technologies used in this package.

    • I am confident in my ability to utilize this package effectively.

    • I am open to learning and adapting to new packages if needed.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Very easy interview. Only basics of data annotation process will be asked

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
No response
Round 1 - Technical 

(4 Questions)

  • Q1. What is the architecture of Apache Spark?
  • Ans. 

    Apache Spark architecture includes a cluster manager, worker nodes, and driver program.

    • Apache Spark architecture consists of a cluster manager, which allocates resources and schedules tasks.

    • Worker nodes execute tasks and store data in memory or disk.

    • Driver program coordinates tasks and communicates with the cluster manager.

    • Spark applications run as independent sets of processes on a cluster, coordinated by the SparkCon...

  • Answered by AI
  • Q2. What is the difference between the reduceBy and groupBy transformations in Apache Spark?
  • Ans. 

    reduceBy is used to aggregate data based on key, while groupBy is used to group data based on key.

    • reduceBy is a transformation that combines the values of each key using an associative function and a neutral 'zero value'.

    • groupBy is a transformation that groups the data based on a key and returns a grouped data set.

    • reduceBy is more efficient for aggregating data as it reduces the data before shuffling, while groupBy shu...

  • Answered by AI
  • Q3. What is the difference between RDD (Resilient Distributed Datasets) and DataFrame in Apache Spark?
  • Ans. 

    RDD is a low-level abstraction representing a distributed collection of objects, while DataFrame is a higher-level abstraction representing a distributed collection of data organized into named columns.

    • RDD is more suitable for unstructured data and low-level transformations, while DataFrame is more suitable for structured data and high-level abstractions.

    • DataFrames provide optimizations like query optimization and code...

  • Answered by AI
  • Q4. What are the different modes of execution in Apache Spark?
  • Ans. 

    The different modes of execution in Apache Spark include local mode, standalone mode, YARN mode, and Mesos mode.

    • Local mode: Spark runs on a single machine with one executor.

    • Standalone mode: Spark runs on a cluster managed by a standalone cluster manager.

    • YARN mode: Spark runs on a Hadoop cluster using YARN as the resource manager.

    • Mesos mode: Spark runs on a Mesos cluster with Mesos as the resource manager.

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via AmbitionBox and was interviewed in Nov 2024. There were 4 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. About your self
  • Q2. Communication skills
Round 2 - Technical 

(3 Questions)

  • Q1. Programming language
  • Q2. What tools do you utilize for data analysis?
  • Ans. 

    I utilize tools such as Excel, Python, SQL, and Tableau for data analysis.

    • Excel for basic data manipulation and visualization

    • Python for advanced data analysis and machine learning

    • SQL for querying databases

    • Tableau for creating interactive visualizations

  • Answered by AI
  • Q3. Pandas numpy seaborn matplot
Round 3 - Coding Test 

Data analysis of code in the context of data analysis.

Round 4 - Aptitude Test 

Coding logical question paper.

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Azure Scenario based questions
  • Q2. Pyspark Coding based questions
Round 2 - One-on-one 

(2 Questions)

  • Q1. ADF, Databricks related question
  • Q2. Spark Performance problem and scenarios
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Job Fair and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. DAX Related Syntax and Codes
  • Q2. Data Modelling, SQL, Python
Round 2 - Technical 

(1 Question)

  • Q1. No Response from HR after calling of selection after Round 1
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
-
Result
Selected Selected

I applied via Campus Placement

Round 1 - Aptitude Test 

It was related to Aptitude MCQ and 2-coding test

Round 2 - Technical 

(3 Questions)

  • Q1. Palindrome of a number
  • Ans. 

    A palindrome of a number is a number that remains the same when its digits are reversed.

    • To check if a number is a palindrome, reverse the number and compare it with the original number.

    • Examples: 121 is a palindrome, 123 is not a palindrome.

  • Answered by AI
  • Q2. Merge 2linked list
  • Ans. 

    Merging two linked lists involves combining the elements of both lists into a single list.

    • Create a new linked list to store the merged elements

    • Traverse through both linked lists and add elements to the new list

    • Handle cases where one list is longer than the other

  • Answered by AI
  • Q3. About projects you have done
Round 3 - HR 

(2 Questions)

  • Q1. Explain your resume fully
  • Q2. General questions on the behaviour

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. How do you utilize the enhanced optimization option in AWS Glue?
  • Ans. 

    Enhanced optimization in AWS Glue improves job performance by automatically adjusting resources based on workload

    • Enhanced optimization in AWS Glue automatically adjusts resources like DPUs based on workload

    • It helps improve job performance by optimizing resource allocation

    • Users can enable enhanced optimization in AWS Glue job settings

  • Answered by AI
  • Q2. What are the best practices for optimizing querying in Amazon Redshift?
  • Ans. 

    Optimizing querying in Amazon Redshift involves proper table design, distribution keys, sort keys, and query optimization techniques.

    • Use appropriate distribution keys to evenly distribute data across nodes for parallel processing.

    • Utilize sort keys to physically order data on disk, reducing the need for sorting during queries.

    • Avoid using SELECT * and instead specify only the columns needed to reduce data transfer.

    • Use AN...

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Aug 2024. There were 8 interview rounds.

Round 1 - Assignment 

Database Management system SQL and PlSQL

Round 2 - Assignment 

Database Base Management system SQL and PlSQL

Round 3 - Aptitude Test 

Database Management system

Round 4 - Aptitude Test 

Database Management system

Round 5 - Group Discussion 

Database Management system

Round 6 - Assignment 

Database Management system

Round 7 - Case Study 

Database Base Management system

Round 8 - HR 

(5 Questions)

  • Q1. Database Management system
  • Q2. SQL and PlSQL Mango Data And Manu Database Management system
  • Q3. C Language and C++Language and Java
  • Q4. Data Analysis and Data entry
  • Q5. DBMS C,C++ Java Data Entry Ms Excel Ms Word Ms PP

Interview Preparation Tips

Interview preparation tips for other job seekers - Database Management system SQL and PlSQL and C Language and C++Language and Java And Web design and Web Developer
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. How to sync primary and standby?
  • Ans. 

    Primary and standby databases can be synced using Data Guard in Oracle.

    • Configure Data Guard on primary and standby databases

    • Enable redo transport services

    • Monitor and resolve any synchronization issues

    • Perform switchover or failover when necessary

  • Answered by AI
  • Q2. Performance tuning?
Round 2 - HR 

(2 Questions)

  • Q1. Why you want to change the job?
  • Ans. 

    Seeking new challenges and growth opportunities in a dynamic environment.

    • Looking for new challenges to enhance my skills and knowledge

    • Seeking growth opportunities for career advancement

    • Interested in working in a more dynamic and innovative environment

  • Answered by AI
  • Q2. Expected salary.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. How you will find that some user SQL running slow without discussing with user?
  • Q2. How you will patch specific db components to reduce downtime?
  • Ans. 

    To patch specific db components to reduce downtime, follow these steps:

    • Identify the specific components that need to be patched

    • Plan the patching process during a scheduled maintenance window

    • Backup the database before applying patches

    • Apply patches to the specific components one by one

    • Test the patched components to ensure they are functioning correctly

    • Monitor the database for any issues post-patching

  • Answered by AI
Round 2 - HR 

(2 Questions)

  • Q1. Why you have so many hopping in your resume?
  • Q2. How you will rate yourself as an dba?

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared technically.
Be loyal in interview , if you don't know just tell
Try to be solution oriented person
Give genuine real time faced issues

Concord Technologies Interview FAQs

How many rounds are there in Concord Technologies Data Annotation Engineer interview?
Concord Technologies interview process usually has 3 rounds. The most common rounds in the Concord Technologies interview process are Resume Shortlist, Technical and HR.

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Concord Technologies Data Annotation Engineer Interview Process

based on 1 interview

Interview experience

3
  
Average
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Concord Technologies Data Annotation Engineer Salary
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₹2.8 L/yr - ₹3.8 L/yr
19% more than the average Data Annotation Engineer Salary in India
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