Artivatic Data Labs Data Annotation Engineer Interview Questions and Answers

Q1. DAX Related Syntax and Codes
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Q2. Data Modelling, SQL, Python
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Q1. No Response from HR after calling of selection after Round 1
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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
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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...read more
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Q1. What is PySpark, and can you explain its features and uses?
Ans. 
PySpark is a Python API for Apache Spark, used for big data processing and analytics.
• PySpark is a Python API for Apache Spark, a fast and general-purpose cluster computing system.

• It allows for easy integration with Python libraries and provides high-level APIs in Python.

• PySpark can be used for processing large datasets, machine learning, real-time data streaming, and more.

• It supports various data sources such as HDFS, ...read more
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Q2. What is the difference between PySpark and Python?
Ans. 
PySpark is a Python API for Apache Spark, while Python is a general-purpose programming language.
• PySpark is specifically designed for big data processing using Spark, while Python is a versatile programming language used for various applications.

• PySpark allows for distributed computing and parallel processing, while Python is primarily used for sequential programming.

• PySpark provides libraries and tools for working wit...read more
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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

Q1. Database Management system
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Q2. SQL and PlSQL Mango Data And Manu Database Management system
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Q3. C Language and C++Language and Java
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Q4. Data Analysis and Data entry
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Q5. DBMS C,C++ Java Data Entry Ms Excel Ms Word Ms PP
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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
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Q2. Performance tuning?
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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
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Q2. Expected salary.
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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...read more
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Q2. Pyspark question read CSV from folder and add column in each csv file and write it to different location.
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Q1. How you will find that some user SQL running slow without discussing with user?
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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
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Q1. Why you have so many hopping in your resume?
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Q2. How you will rate yourself as an dba?
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Q1. Python Lambda Function
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Q2. What are pods in Kubernetes
Ans. 
Pods are the smallest deployable units in Kubernetes, consisting of one or more containers.
• Pods are used to run and manage containers in Kubernetes

• Each pod has its own unique IP address within the Kubernetes cluster

• Pods can contain multiple containers that share resources and are scheduled together

• Pods are ephemeral and can be easily created, destroyed, or replicated

• Pods can be managed and scaled using Kubernetes contr
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