Medline Industries Data Analyst Interview Questions and Answers

Q1. Question based on your previous experience. Panel will ask diffrent type of question like your capabilities, future outcomes and diffrent technical questions.
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Q2. Go thoroughly your work exp.
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Q1. What time intelligence functions can be used for ytd and qtd analysis
Ans. 
Time intelligence functions like YTD (Year-to-Date) and QTD (Quarter-to-Date) can be used for YTD and QTD analysis in data analytics.
• YTD analysis can be done using functions like YTD() or TOTALYTD() to calculate values from the beginning of the year up to the selected date.

• QTD analysis can be done using functions like QTD() or TOTALQTD() to calculate values from the beginning of the quarter up to the selected date.

• Thes...read more
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Q2. Difference between import and direct query
Ans. 
Import brings data into Power BI for further analysis, while direct query connects to data source in real-time.
• Import: Data is loaded into Power BI for analysis, improving performance but requiring periodic refreshes.

• Direct Query: Connects to data source in real-time, allowing for up-to-date information but potentially slower performance.

• Import is suitable for smaller datasets, while direct query is better for large da
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Q1. Explain data normalization
Ans. 
Data normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.
• Data normalization involves breaking down data into smaller, manageable parts.

• It helps in reducing data redundancy by eliminating duplicate data.

• Normalization ensures data integrity by minimizing data anomalies.

• It involves organizing data into tables and establishing relationships between them.

• Normalizatio...read more
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Q1. What is probability
Ans. 
Probability is a measure of the likelihood of an event occurring.
• Probability ranges from 0 (impossible) to 1 (certain)

• It can be calculated by dividing the number of favorable outcomes by the total number of outcomes

• Used in various fields like statistics, gambling, and risk assessment
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Q2. Difference between classification and regression
Ans. 
Classification is for predicting discrete labels, while regression is for predicting continuous values.
• Classification predicts categories or labels, such as spam or not spam.

• Regression predicts continuous values, such as house prices or temperature.

• Classification uses algorithms like logistic regression, decision trees, and support vector machines.

• Regression uses algorithms like linear regression, polynomial regression
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Q3. Family background
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Q4. Difference between smart work and hard work
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Q1. What is Active Directory
Ans. 
Active Directory is a directory service developed by Microsoft for Windows domain networks.
• Centralized database for managing network resources

• Stores information about users, computers, and other network objects

• Allows for authentication and authorization of users

• Enables administrators to assign policies, deploy software, and apply updates

• Example: Used in corporate environments to manage user accounts and permissions
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Q2. What is IAM and used for
Ans. 
IAM stands for Identity and Access Management. It is used for managing user identities and their access to resources.
• IAM helps organizations control who has access to what resources

• It ensures that only authorized users can access certain data or systems

• IAM can also help with compliance by providing audit trails of user access

• Examples of IAM tools include Okta, Azure AD, and AWS IAM
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Q1. Android basic question
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Q1. Android advance level question
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Experiment based question

Q1. How do we achieve multi threading in WPF application
Ans. 
Multi threading in WPF can be achieved using the Task Parallel Library (TPL) or BackgroundWorker class.
• Use Task.Run() method to run code on a separate thread.

• Use async/await keywords to perform asynchronous operations.

• Use BackgroundWorker class for simpler multi-threading scenarios.
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Q2. Explain your current project
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