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10+ Dynamic Interview Questions and Answers

Updated 22 Oct 2024

Q1. Can you give a sample Process Flow for Procure to Pay Cycle?

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Q2. How does XGBoost work? How does clustering work?

Ans.

XGBoost is a popular machine learning algorithm that uses gradient boosting to improve prediction accuracy.

  • XGBoost stands for eXtreme Gradient Boosting.

  • It is an ensemble learning method that builds a series of decision trees to make predictions.

  • XGBoost uses gradient boosting to minimize errors by adding new models that complement the existing ones.

  • It is known for its speed and performance in competitions like Kaggle.

  • XGBoost is widely used in various fields such as finance, he...read more

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Q3. What is 2 way match and 3 way match in SAP?

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Q4. What are SAP codes used in OTC process

Ans.

SAP codes are used in the Order to Cash (OTC) process to identify various stages and transactions within the process.

  • SAP codes are alphanumeric codes assigned to different stages and transactions in the OTC process.

  • They help in tracking and managing orders, invoices, deliveries, and payments within SAP systems.

  • Examples of SAP codes in OTC process include VA01 for creating sales order, VF01 for creating invoice, and VL01N for creating delivery.

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Q5. Tell me about hypothesis testing

Ans.

Hypothesis testing is a statistical method used to make inferences about a population based on sample data.

  • Hypothesis testing involves formulating a null hypothesis and an alternative hypothesis.

  • The null hypothesis assumes that there is no significant difference or relationship, while the alternative hypothesis suggests otherwise.

  • Statistical tests are then conducted to determine the likelihood of observing the data if the null hypothesis is true.

  • Common tests include t-tests, ...read more

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Q6. How does XGBoost work

Ans.

XGBoost is a popular machine learning algorithm that uses gradient boosting to improve model performance.

  • XGBoost stands for eXtreme Gradient Boosting

  • It is an ensemble learning method that builds multiple decision trees sequentially

  • Each tree corrects errors made by the previous one, leading to a more accurate model

  • XGBoost is known for its speed and performance in competitions like Kaggle

  • It can handle missing data and is resistant to overfitting

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Q7. How does clustering work

Ans.

Clustering is a technique used to group similar data points together based on certain characteristics.

  • Clustering involves partitioning a set of data points into groups, or clusters, where points in the same cluster are more similar to each other than to those in other clusters.

  • Common clustering algorithms include K-means, hierarchical clustering, and DBSCAN.

  • Clustering is an unsupervised learning technique, meaning the algorithm learns patterns from the data without being expl...read more

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Q8. Different between Chain and belt transmittion,Advantages and disadvantages

Ans.

Chain transmission uses metal chains to transmit power, while belt transmission uses belts made of rubber or other materials.

  • Chain transmission is more durable and can handle higher loads compared to belt transmission.

  • Belt transmission is quieter and smoother compared to chain transmission.

  • Chain transmission requires more maintenance due to lubrication needs, while belt transmission is relatively maintenance-free.

  • Examples: Chain transmission is commonly used in motorcycles an...read more

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Q9. what are Owasp top10 standards

Ans.

OWASP Top 10 is a list of the top 10 most critical web application security risks.

  • Injection

  • Broken Authentication

  • Sensitive Data Exposure

  • XML External Entities (XXE)

  • Broken Access Control

  • Security Misconfiguration

  • Cross-Site Scripting (XSS)

  • Insecure Deserialization

  • Using Components with Known Vulnerabilities

  • Insufficient Logging and Monitoring

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Q10. What is Input & output in GST?

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Q11. What is PO and non PO?

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Q12. What is Incremental refresh

Ans.

Incremental refresh is a process of updating only the new or changed data in a dataset, rather than refreshing the entire dataset.

  • Incremental refresh helps in reducing the time and resources required for data refresh.

  • It is commonly used in data warehousing and business intelligence to keep the data up-to-date.

  • For example, in a sales database, only the new sales transactions since the last refresh would be added to the dataset during an incremental refresh.

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Q13. Explain Joins in QlikView

Ans.

Joins in QlikView are used to combine data from multiple tables based on a common field.

  • Joins are used to link tables together based on a common field or key.

  • Common types of joins in QlikView include inner join, left join, right join, and outer join.

  • Joins help in creating a single, unified view of data from multiple tables.

  • Example: A common join in QlikView would be linking a 'Sales' table with a 'Product' table based on a 'Product ID' field.

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Q14. Talk about Previous Experince

Ans.

I have over 5 years of experience in sales and territory management, consistently exceeding targets and building strong relationships with clients.

  • Managed a territory of 50+ accounts, increasing sales by 20% year over year

  • Developed and implemented strategic sales plans to penetrate new markets

  • Built and maintained relationships with key decision-makers in the industry

  • Trained and mentored new sales representatives to improve team performance

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