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I applied via Company Website and was interviewed in Aug 2022. There were 3 interview rounds.
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Django's ORM can be used to find product details by querying the database.
Define a model for products in models.py
Create a view function to handle the request
Use the ORM to query the database for the product details
Render the details in a template
Python ML can be used to find twisted data by detecting anomalies and outliers in the dataset.
Use anomaly detection algorithms like Isolation Forest, Local Outlier Factor, or One-Class SVM.
Visualize the data using scatter plots or box plots to identify any outliers.
Preprocess the data by removing any missing values or scaling the features.
Use clustering algorithms like K-Means or DBSCAN to group similar data points and...
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posted on 14 May 2022
I applied via Walk-in and was interviewed before May 2021. There were 3 interview rounds.
SQL statements are used to interact with databases by performing operations like querying, updating, and deleting data.
SQL statements are made up of keywords like SELECT, INSERT, UPDATE, DELETE, etc.
They are structured in a specific order, with clauses like WHERE, ORDER BY, GROUP BY, etc.
Tables are referenced using their names, and conditions are specified to filter data.
Joins can be used to combine data from multiple
I appeared for an interview in Nov 2022.
Strong appitude knowledge is required.
posted on 3 Jun 2024
Mathematical and logical questions including distance -time, work -time, reasoning, blood relation etc
DSA moderate question like string reverse, string rotation, frequency of letter in a string.
posted on 19 Jul 2024
I applied via Naukri.com and was interviewed before Jul 2023. There were 3 interview rounds.
Simple questions of quant and coding output
3 coding question and one pattern question
posted on 9 Dec 2024
MCQ - 20 (aptitude), 20(c+ and sql)
Pattern, array and sql questions
posted on 14 Jun 2024
posted on 15 Jul 2024
Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.
Normalization helps in reducing data redundancy by breaking down large tables into smaller ones.
It ensures data integrity by minimizing data anomalies such as update, insert, and delete anomalies.
Normalization follows a set of rules (normal forms) like 1NF, 2NF, 3NF, etc., to organize data efficiently.
Example: ...
posted on 8 Nov 2024
Online test was conducted
We were asked to talk about one topic for 2mins.
Softwaretest Engineer
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Software Testing Engineer
19
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Software Developer
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Software Engineer
7
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Test Engineer
5
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