OptiSol Business Solutions Interview Questions and Answers

The * symbol is used to pass variable number of arguments and keyword arguments in Python functions.

• The * symbol before a parameter name in a function definition allows it to accept variable number of arguments as a tuple.

• The ** symbol before a parameter name in a function definition allows it to accept variable number of keyword arguments as a dictionary.

• The * symbol before an iterable object in a function call unpacks it into separate arguments.

• The ** symbol before a dictio...read more

Explaining joins and total count for two tables

• Joins combine data from two or more tables based on a common column

• Inner join returns only the matching rows from both tables

• Left join returns all rows from the left table and matching rows from the right table

• Right join returns all rows from the right table and matching rows from the left table

• Full outer join returns all rows from both tables

• Total count is the number of rows in the resulting joined table

AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics.

• AWS Glue Data Catalog: A central metadata repository that stores metadata information about datasets and sources.

• AWS Glue ETL: Allows you to create ETL jobs to transform data from various sources into a format that can be easily analyzed.

• AWS Glue Crawler: Automatically discovers data in various sources, infers schema, and updates the AWS Glue Data C...read more

AWS is a cloud computing platform provided by Amazon with a scalable and flexible architecture.

• AWS stands for Amazon Web Services

• It offers a wide range of cloud services including computing power, storage, and databases

• AWS architecture is designed to be scalable, secure, and cost-effective

• Examples of AWS services include EC2 for virtual servers, S3 for storage, and RDS for databases

Data Lake is a storage repository that holds a vast amount of raw data in its native format, while Data Warehouse is a structured repository for processed and analyzed data.

• Data Lake stores raw, unstructured data in its original form for future processing and analysis.

• Data Warehouse stores structured, processed data for querying and reporting.

• Data Lake is ideal for big data analytics and machine learning applications.

• Data Warehouse is optimized for complex queries and busines...read more