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Centific Data Annotator Interview Questions and Answers
Centific Data Annotator Interview Experiences
1 interview found
Selected
I applied via Approached by Company and was interviewed in Mar 2024. There were 2 interview rounds.
You will have to take the test on their portal.
(2 Questions)
- Q1. Tell me about yourself
- Ans.
I am a detail-oriented individual with a background in data annotation and a passion for accuracy and efficiency.
Background in data annotation
Detail-oriented and accuracy-driven
Efficient and organized in work approach
- Q2. Are you aware of the job role and responsibilities?
- Ans.
Yes, the job role involves labeling and categorizing data for machine learning algorithms.
Labeling data accurately according to guidelines provided
Categorizing data into different classes or categories
Ensuring data quality and consistency
Communicating any issues or discrepancies in the data
Working closely with data scientists and engineers to improve models
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Virtusa Consulting Services
SHIKHA
posted on 31 Dec 2024
(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...
- 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...
- 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...
- 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.
I applied via Job Fair and was interviewed in Nov 2024. There were 2 interview rounds.
(2 Questions)
- Q1. DAX Related Syntax and Codes
- Q2. Data Modelling, SQL, Python
(1 Question)
- Q1. No Response from HR after calling of selection after Round 1
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
(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
- 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...
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Sutherland Global Services
Anonymous
posted on 28 Sep 2024
Selected
I applied via Campus Placement and was interviewed in Aug 2024. There were 8 interview rounds.
Database Management system SQL and PlSQL
Database Base Management system SQL and PlSQL
Database Management system
Database Management system
Database Management system
Database Management system
Database Base Management system
(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
Swati Gawali
I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
(2 Questions)
- Q1. What is scd type 2?
- Ans.
SCD type 2 is a method used in data warehousing to track historical changes by creating a new record for each change.
SCD type 2 stands for Slowly Changing Dimension type 2
It involves creating a new record in the dimension table whenever there is a change in the data
The old record is marked as inactive and the new record is marked as current
It allows for historical tracking of changes in data over time
Example: If a cust...
- Q2. Pyspark question read CSV from folder and add column in each csv file and write it to different location.
Skills evaluated in this interview
(2 Questions)
- Q1. Sql questions were
- Q2. Spark related aswell
Selected
I applied via Naukri.com and was interviewed in Mar 2024. There was 1 interview round.
(2 Questions)
- Q1. Tell. me about youself
- Q2. Sql question , pyspark questions
1 ques of pyspark based on time series
(2 Questions)
- Q1. Sql questions on window functions Question on List Project related ques
- Q2. Basic ques on Aws like glue lambda
Selected
I applied via Recruitment Consulltant and was interviewed in Nov 2023. There were 4 interview rounds.
Python and Spark code
(1 Question)
- Q1. Spark and Cloud question
(1 Question)
- Q1. Based on client interview
(1 Question)
- Q1. HR question and salary discussion.
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Centific Data Annotator Reviews and Ratings
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Rating in categories
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Project Associate
103
salaries
|  ₹1.8 L/yr - ₹3.8 L/yr |
|
Senior Software Engineer
32
salaries
| ₹12 L/yr - ₹25 L/yr |
|
Associate Software Engineer
27
salaries
| ₹3 L/yr - ₹4 L/yr |
|
Software Engineer
22
salaries
| ₹4 L/yr - ₹16.1 L/yr |
|
Data Engineer
16
salaries
| ₹2.2 L/yr - ₹5 L/yr |
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