Summa Linguae Technologies Interview Questions and Answers

Q1. Tell me about your self
Ans. 
I am a data analyst with a background in statistics and programming, passionate about turning data into actionable insights.
• Background in statistics and programming

• Experience in data analysis and visualization tools like Python, R, and Tableau

• Strong problem-solving and critical thinking skills

• Ability to communicate complex data findings to non-technical stakeholders
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Q2. What are your career goals
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My career goal is to become a senior data analyst in a reputable company, where I can utilize my skills to drive data-driven decision-making and contribute to the organization's success.
• Advance to a senior data analyst role

• Contribute to data-driven decision-making

• Work for a reputable company

• Continuous learning and skill development
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Q3. What is your strength and weakness
Ans. 
Strength: Strong analytical skills, Weakness: Overthinking
• Strength: Ability to analyze complex data sets and derive meaningful insights

• Strength: Proficiency in data visualization tools like Tableau and Power BI

• Weakness: Tendency to overthink and spend too much time on minor details

• Weakness: Struggle with delegating tasks and trusting others to complete them
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Q4. Intresting role about company
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Q5. Developing skills
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4 easy level questions will be asked basically from arrays and strings.

Assignment will be given after clearing coding round. In my case ELearning Platform project was given and 7 days time was given to complete.

Q1. DBMS questions like ACID properties, database transaction. Etc
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Q2. Project related questions
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Q3. Basic and conceptual questions of frameworks you know
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Q4. Basic coding questions like armstrong number, palendromic sequence, recursion
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Basic aptitude assessment along with some theoretical components.

Q1. Basic questions in Java, SQL and React
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Q1. Project related questions
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Q2. Coding question->Reverse String(World Hello), pattern, prime number
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XML questions and answer

DTD explain and XML Questions and Answer

Q1. Dtd explain Document type definition
Ans. 
DTD is a set of rules that define the structure and content of an XML document.
• Defines the elements and attributes that can appear in the XML document

• Specifies the order and nesting of elements

• Ensures the validity of the XML document
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Q2. XML explain Extensible markup language
Ans. 
XML is a markup language used to define rules for encoding documents in a format that is both human-readable and machine-readable.
• XML stands for Extensible Markup Language

• It uses tags to define the structure and meaning of data

• XML documents are hierarchical and can be validated against a schema

• Commonly used in web development for data interchange and configuration files
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Q1. How do agile methodologies function in B2B projects?
Ans. 
Agile methodologies in B2B projects involve frequent communication, adaptability, and collaboration with stakeholders.
• Agile methodologies in B2B projects prioritize customer collaboration and responding to change over following a strict plan.

• Regular feedback from stakeholders helps in adjusting project scope and priorities in real-time.

• Cross-functional teams work together closely to deliver incremental value to the B2B...read more
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Q2. What is your experience with barcode scanners?
Ans. 
I have extensive experience working with barcode scanners in various automation projects.
• Implemented barcode scanning functionality in warehouse management system to track inventory

• Integrated barcode scanners with automated testing tools for regression testing

• Utilized barcode scanners in manufacturing processes to improve efficiency and accuracy
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Q1. What is your experience with parallelizing transformers, and how do you approach splitting them across multiple devices to minimize latency?
Ans. 
I have experience parallelizing transformers by splitting them across multiple devices to minimize latency.
• I have utilized frameworks like TensorFlow and PyTorch to parallelize transformers.

• I approach splitting transformers by dividing the input data into chunks and distributing them across devices.

• I optimize communication overhead by minimizing data transfer between devices.

• I leverage techniques like data parallelism ...read more
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Q1. What is coalesce
Ans. 
Coalesce is a function used to return the first non-null value in a list of expressions.
• Coalesce function is commonly used in SQL to handle null values.

• It takes multiple arguments and returns the first non-null value.

• Example: COALESCE(column1, column2, 'default') will return the value of column1 if not null, else column2, and if both are null, it will return 'default'.
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Q2. What is repartition
Ans. 
Repartition is the process of redistributing data across partitions in a distributed system.
• Repartitioning helps in balancing the workload and improving performance in distributed computing environments.

• It involves moving data between partitions based on certain criteria such as key values or hash functions.

• Repartitioning can be done in Spark using operations like repartition() or coalesce().
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Q1. Non repeatable character
Ans. 
A non repeatable character is a character that appears only once in a given string.
• Iterate through the string and count the frequency of each character

• Identify the characters that have a frequency of 1

• Return the first non repeatable character found
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Q2. Sort list without sort method
Ans. 
Sort list without using sort method
• Create a custom sorting function using loops

• Compare each element with every other element to determine the correct order

• Swap elements based on the comparison results
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Q1. Tell me about yourself
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Q2. What do you know about Project Managing?
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Q3. Do you have any knowledge about project outsourcing?
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