Allsoft Solutions Trainee Junior Data Analyst Interview Questions and Answers

Q1. Tell me about your current project? Have you used any AWS services?
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Q2. Can you explain about EMR andEC2 instance?
Ans. 
EMR is a managed Hadoop framework for processing large amounts of data, while EC2 is a scalable virtual server in AWS.
• EMR stands for Elastic MapReduce and is a managed Hadoop framework for processing large amounts of data.

• EC2 stands for Elastic Compute Cloud and is a scalable virtual server in Amazon Web Services (AWS).

• EMR allows for easy provisioning and scaling of Hadoop clusters, while EC2 provides resizable compute...read more
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Q3. What type of schemas did you use for your project. (Star schema, Snowflake Schema)
Ans. 
I have experience working with both Star and Snowflake schemas in my projects.
• Star schema is a denormalized schema where one central fact table is connected to multiple dimension tables.

• Snowflake schema is a normalized schema where dimension tables are further normalized into sub-dimension tables.

• Used Star schema for simpler, smaller datasets where performance is a priority.

• Used Snowflake schema for complex, larger dat...read more
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Q4. Have you used python, pyspark in your projects?
Ans. 
Yes, I have used Python and PySpark in my projects for data engineering tasks.
• I have used Python for data manipulation, analysis, and visualization.

• I have used PySpark for big data processing and distributed computing.

• I have experience in writing PySpark jobs to process large datasets efficiently.
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Q5. Do you have any experience with serverless schema?
Ans. 
Yes, I have experience with serverless schema.
• I have worked with AWS Lambda to build serverless applications.

• I have experience using serverless frameworks like Serverless Framework or AWS SAM.

• I have designed and implemented serverless architectures using services like AWS API Gateway and AWS DynamoDB.
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Q1. Use of display in databricks
Ans. 
Display in Databricks is used to visualize data in a tabular format or as charts/graphs.
• Display function is used to show data in a tabular format in Databricks notebooks.

• It can also be used to create visualizations like charts and graphs.

• Display can be customized with different options like title, labels, and chart types.
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Q2. How to create workflow in databrics
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To create a workflow in Databricks, use Databricks Jobs or Databricks Notebooks with scheduling capabilities.
• Use Databricks Jobs to create and schedule workflows in Databricks.

• Utilize Databricks Notebooks to define the workflow steps and dependencies.

• Leverage Databricks Jobs API for programmatic workflow creation and management.

• Use Databricks Jobs UI to visually design and schedule workflows.

• Integrate with Databricks D
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Q1. Questions mostly revolved around Hadoop , Hive, Spark and SQL
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Q1. 1. Command for find the 30 days old file in linux
Ans. 
Use the find command with the -mtime option to find files that are 30 days old in Linux.
• Use the find command with the -mtime option to specify the number of days.

• For example, to find files that are exactly 30 days old: find /path/to/directory -mtime 30

• To find files that are older than 30 days: find /path/to/directory -mtime +30

• To find files that are newer than 30 days: find /path/to/directory -mtime -30
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Q2. Questions on data modelling of CDR data
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Q3. Command to copy the data from AWS s3 to redshift
Ans. 
Use the COPY command in Redshift to load data from AWS S3.
• Use the COPY command in Redshift to load data from S3 bucket.

• Specify the IAM role with necessary permissions in the COPY command.

• Provide the S3 file path and Redshift table name in the COPY command.

• Ensure the Redshift cluster has the necessary permissions to access S3.
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Q1. Tell me about scaling. ensemble techniques. precession, recall, f1 score, ROC AUC LSTM and RNN Feature selection and extraction optimization function loss functions word embedding word2vec tf-idf outliers...read more
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First round is Dax,2 nd is SQL queries,3 is python

Q1. Questions on Python datatypes, class, object, inheritance,
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Q2. Machine learning algorithms
Ans. 
Machine learning algorithms are used to train models on data to make predictions or decisions.
• Supervised learning algorithms include linear regression, decision trees, and neural networks.

• Unsupervised learning algorithms include clustering and dimensionality reduction.

• Reinforcement learning algorithms involve learning through trial and error.

• Examples of machine learning applications include image recognition, natural l
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Q3. Sql queries and python coding questions
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Q1. Related to project
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Basic DP, Array Questions

Q1. Resume Walkthrough and Discussion, Medium level coding questions
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Q1. Discussion with Manager
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Q1. Normal HR round
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