Baxter International Interview Questions and Answers

I have 5 years of experience working in financial services, specializing in risk management and compliance.

• Managed risk assessment processes for high-profile clients

• Developed and implemented compliance policies and procedures

• Conducted internal audits to ensure regulatory compliance

• Collaborated with cross-functional teams to address compliance issues

• Provided training and guidance to junior staff members

I have 5 years of experience working in financial services, specializing in risk management and compliance.

• Managed risk assessment processes for high-profile clients

• Developed and implemented compliance policies and procedures

• Conducted regular audits to ensure adherence to regulatory requirements

React hooks are functions that let you use state and other React features without writing a class.

• Hooks are functions that let you use state and other React features in functional components

• useState() is a hook that allows you to add state to functional components

• useEffect() is a hook that allows you to perform side effects in functional components

• useContext() is a hook that allows you to use the context API in functio...read more

Liskov Substitution Principle states that objects of a superclass should be replaceable with objects of its subclasses without affecting the program's correctness.

• Subtypes must be substitutable for their base types.

• Derived classes must be able to replace their base classes without affecting the program's behavior.

• Violating this principle can lead to unexpected behavior and errors in the code.

• Example: If a program expec...read more

Oops concept is a programming paradigm that focuses on objects and classes.

• Oops stands for Object-Oriented Programming

• Key concepts include inheritance, encapsulation, polymorphism, and abstraction

• Examples: Class Car with properties like make, model, and methods like start(), stop()

• Example: Inheritance - Class SUV extends Car and adds property numSeats

I am interested in joining this company because of its reputation for providing excellent training and growth opportunities.

• I am impressed by the company's commitment to employee development and advancement.

• I believe my skills and experience align well with the company's values and goals.

• I am excited about the opportunity to contribute to a dynamic and innovative team.

• I have heard positive feedback from current employe...read more

Peak purity is the measure of the homogeneity of a peak in a chromatogram, while % area normalization is a method to compare the relative amounts of different peaks in a chromatogram.

• Peak purity is determined by comparing the spectra at different points within a peak to ensure they are similar, indicating a pure compound.

• % area normalization involves adjusting the peak areas in a chromatogram to a common reference poin...read more

PDA detector measures absorbance at multiple wavelengths, while DAD detector measures absorbance at all wavelengths simultaneously.

• PDA detector uses a photodiode array to measure absorbance at multiple wavelengths, allowing for more detailed analysis.

• DAD detector uses a diode array to measure absorbance at all wavelengths simultaneously, providing faster and more comprehensive data.

• PDA detector is more suitable for app...read more

Beer's Ambert Law states that the absorbance of a substance is directly proportional to its concentration and the path length of the light through the sample.

• Beer's Ambert Law is commonly used in spectrophotometry to determine the concentration of a substance in a solution.

• The law is expressed as A = εlc, where A is the absorbance, ε is the molar absorptivity, l is the path length, and c is the concentration.

• It is appl...read more

Developing RS method development involves understanding the research objectives, selecting appropriate techniques, optimizing parameters, and validating the method.

• Understand the research objectives and requirements

• Select appropriate techniques based on the sample and analyte properties

• Optimize method parameters such as mobile phase composition, column temperature, and flow rate

• Validate the method by assessing paramete...read more

As a Data Steward in my current org, my roles and responsibilities include managing data quality, ensuring compliance with data policies, and providing data governance support.

• Managing data quality by identifying and resolving data issues

• Ensuring compliance with data policies and regulations

• Providing data governance support by creating and maintaining data dictionaries, data lineage, and data classification

• Collaboratin...read more

I have worked in various domains including finance, healthcare, and retail.

• Worked as a data steward in a finance company, ensuring data accuracy and compliance with regulations.

• Managed data for a healthcare organization, ensuring patient privacy and security.

• Worked with retail data to analyze customer behavior and improve sales strategies.

We use Collibra as our Data Governance tool.

• Collibra is a popular Data Governance tool used by many organizations.

• It helps in managing data assets, data quality, and data privacy.

• Collibra provides a centralized platform for data governance and collaboration.

• It also offers features like data lineage, data cataloging, and data stewardship.

• Collibra integrates with various data sources and tools like Tableau, Informatica, ...read more

Implementing a Data Governance framework involves defining policies, procedures, and roles to manage data assets.

• Identify stakeholders and their roles in data governance

• Define policies and procedures for data management

• Establish data quality standards and metrics

• Implement data security and privacy measures

• Create a data catalog and inventory

• Monitor and enforce compliance with data governance policies

• Continuously review ...read more

I ensure proper data management through a systematic approach.

• Identify data sources and stakeholders

• Establish data quality standards and policies

• Implement data governance framework

• Ensure data security and privacy

• Regularly monitor and audit data

• Continuously improve data management processes

We use Apache NiFi for our data processing pipelines.

• Apache NiFi is an open-source tool for automating and managing data flows between systems.

• It provides a web-based interface for designing, building, and monitoring data pipelines.

• NiFi supports a wide range of data sources and destinations, including databases, Hadoop, and cloud services.

• It also has built-in security and data provenance features.

• Some examples of our N...read more

Setting up a Data Quality workflow involves defining standards, identifying data sources, and implementing data cleansing processes.

• Define data quality standards and metrics

• Identify data sources and assess their quality

• Implement data cleansing processes

• Establish data governance policies and procedures

• Monitor and measure data quality over time

Data catalog and lineage are done through metadata management and tracking data flow.

• Create a metadata repository to store information about data sources, data types, and data lineage.

• Track data flow through the use of data lineage tools and techniques such as data mapping and data profiling.

• Ensure data quality by implementing data governance policies and procedures.

• Regularly update the metadata repository to reflect c...read more