Expleo Solutions Interview Questions, Process, and Tips

Product backlog is a list of all desired work on a project, while sprint backlog is a subset of the product backlog for a specific sprint.

• Product backlog includes all features, bug fixes, enhancements, and other work needed for a project.

• Sprint backlog is a subset of the product backlog selected for a specific sprint.

• Product backlog is constantly updated and prioritized based on business needs.

• Sprint backlog is fixed f...read more

Intermediate concepts in data science include machine learning, data visualization, and statistical analysis.

• Machine learning algorithms such as regression, classification, and clustering

• Data visualization techniques like scatter plots, histograms, and heatmaps

• Statistical analysis methods such as hypothesis testing, ANOVA, and regression analysis

Testing is the process of evaluating a system or component to determine if it meets the specified requirements.

• Testing is done to identify defects or errors in a system.

• It involves executing test cases and comparing the actual results with expected results.

• Testing can be performed at various levels such as unit testing, integration testing, system testing, and acceptance testing.

• Different types of testing include funct...read more

Regression testing is the process of retesting modified software to ensure that the existing functionalities are not affected.

• Regression testing is performed after making changes to the software to identify any new defects or issues introduced.

• It helps ensure that the modifications or enhancements do not cause any unintended side effects.

• Regression testing can be done manually or using automated testing tools.

• It involv...read more

A database is a structured collection of data that is organized and managed for easy access, retrieval, and manipulation.

• A database is used to store and manage large amounts of data.

• It provides a way to organize and structure data for efficient storage and retrieval.

• Databases can be relational, hierarchical, network, or object-oriented.

• Examples of databases include MySQL, Oracle, MongoDB, and SQLite.