JFrog Interview Questions and Answers

A standardized assessment that measures a person's skills, cognitive abilities, and potential to perform in a specific role.

Q1. Technical interview questions at Automatic Data Processing (ADP) may cover topics such as programming, databases, and software development.
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Q2. They may also ask about problem-solving and how you approach challenging tasks.
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Q3. Emphasize a structured method that involves clearly defining the issue, gathering relevant information, brainstorming potential solutions, evaluating options carefully, implementing the chosen solution, an...read more
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Q4. Data structures, algorithms, SQL querying, object-oriented programming principles, software development lifecycle, database concepts (relational vs. NoSQL), coding challenges in relevant languages (like Py...read more
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Q1. May ask about your background, skills, and how you handle challenges
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Q2. Background questions Tell me about yourself, What are your career goals, What are your strengths and weaknesses, What do you know about ADP, and Why do you want to work at ADP.
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It occurred on HackerRank.

Q1. DSA questions related to strings , graphs , array
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Q2. CS fundamentals ....OOPS , DBMS , CN (little)
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Q3. Projects discussion
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Q1. About hobbies , interest in comp. about hacakthons
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Q2. Why i want to become SDE
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Basic self evaluation test.

Q1. What project I have completed and follow-up questions on that?
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Q2. How to handle class imbalance.
Ans. 
Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.
• Use resampling techniques like oversampling or undersampling to balance the classes.

• Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.

• Adjust class weights in the model to give more importance to minority class.

• Use evaluation metrics like F1 score, precision, r...read more
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Q3. Basic Python coding questions.
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Q1. Data-related questions.
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Q2. ML Ops questions.
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Q1. Introduction, roles and responsibilities
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Q2. Deep copy shallow copy
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Q3. Method Overloading overriding
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Q4. Constuctor and its types
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Q5. Varags (variable length arguments)
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Q6. Find element find elements return types of it if no elements found
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Q7. Webdriver what is it
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Q8. Find duplicate numbers and its count from given list explain logic
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Q9. Factorial using recursion
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Q1. Support Role Questions 1) Like explaining a case which was done in your previous role and experience
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Q2. Questions on Javascript
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Q1. Technical Interview questions on Javascript, HTML, CSS and behavioural
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Q1. Manager Questions based on Position and previous work experience.
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Basic Python, SQL, and Bash questions

Q1. SQL questions with operations that include changing from string to array. Tip: stick to RDBMS-specific dialects only (like Postgres), I used Spark SQL
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Q2. Simple Python questions with a follow-up to optimise it
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Q3. Bash script-based questions, are pretty basic.
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Q4. Data pipeline design and best practices.
Ans. 
Data pipeline design involves creating a system to efficiently collect, process, and analyze data.
• Understand the data sources and requirements before designing the pipeline.

• Use tools like Apache Kafka, Apache NiFi, or AWS Glue for data ingestion and processing.

• Implement data validation and error handling mechanisms to ensure data quality.

• Consider scalability and performance optimization while designing the pipeline.

• Doc...read more
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Q1. Easy to medium Leetcode-based question. With moderate difficulty.
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Q2. Simple Python-based question with optimisation.
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Q3. Design specific questions based on Data pipelines.
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Q1. SQL-based question with moderate difficulty.
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Q2. Python-based questions, follow questions with some optimisations.
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Q3. Bash-script based round.
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