Zidio Development Interview Questions and Answers

I have experience with HTML, CSS, JavaScript, and various frameworks like React and Node.js for building responsive web applications.

• Proficient in HTML5 for structuring web content.

• Experienced with CSS3 for styling and layout, including Flexbox and Grid.

• Skilled in JavaScript for dynamic content and interactivity.

• Worked with React for building user interfaces and managing state.

• Utilized Node.js for server-side deve...read more

I'm passionate about data analysis and excited to leverage my skills to drive insights and support decision-making in this role.

• I enjoy uncovering patterns in data, as seen in my previous project where I identified trends that improved sales by 15%.

• This role aligns with my career goals of developing expertise in data visualization and predictive analytics.

• I am eager to collaborate with cross-functional teams to tr...read more

Inner join returns matching records from both tables, while left join returns all records from the left table and matching from the right.

• Inner Join: Combines rows from two tables where there is a match in both tables.

• Left Join: Returns all rows from the left table and matched rows from the right table; unmatched rows from the right will show NULL.

• Example of Inner Join: SELECT * FROM TableA INNER JOIN TableB ON Ta...read more

Handling missing data involves identifying, assessing, and applying appropriate techniques to manage gaps in datasets.

• Identify missing data: Use methods like 'isnull()' in Python to find missing values.

• Assess the impact: Determine how missing data affects your analysis and results.

• Imputation: Replace missing values with mean, median, or mode. For example, use the median for skewed distributions.

• Remove missing data...read more

Choosing the right visualization depends on data type, audience, and insights needed.

• Use bar charts for categorical comparisons (e.g., sales by region).

• Line charts are ideal for trends over time (e.g., monthly revenue).

• Pie charts can show proportions but are less effective for many categories.

• Scatter plots help identify relationships between two variables (e.g., age vs. income).

• Heatmaps visualize data density or c...read more

MERN is a full-stack JavaScript framework using MongoDB, Express.js, React, and Node.js for building dynamic web applications.

• MongoDB: A NoSQL database that stores data in JSON-like format, allowing for flexible data structures.

• Express.js: A web application framework for Node.js that simplifies routing and middleware management.

• React: A front-end library for building user interfaces, allowing for component-based a...read more

Schema is a structured framework that defines the organization and relationships of data in databases or documents.

• Schemas provide a blueprint for how data is organized in databases.

• In SQL databases, a schema defines tables, fields, and relationships (e.g., a 'users' table with 'id', 'name', 'email' fields).

• In JSON-LD, schemas help describe the structure of JSON data for better interoperability (e.g., using 'Perso...read more

MERN Stack is a JavaScript-based technology stack for building dynamic web applications using MongoDB, Express.js, React, and Node.js.

• MongoDB: A NoSQL database that stores data in flexible, JSON-like documents.

• Express.js: A web application framework for Node.js that simplifies server-side development.

• React: A front-end library for building user interfaces, allowing for the creation of reusable UI components.

• Node.j...read more