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10+ Dr. Reddy's Interview Questions and Answers

Updated 5 Feb 2024
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Q1. Tell me about your profile? What do you know about Transaction Monitoring ? What are the sanctioned countries ? Do you know what is sectoral sanctions ? Can you explain sectoral sanctions and countries which is...

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Ans.

Answering questions related to Transaction Monitoring, Sanctions, Risk Assessment, AML, and Russia sanctions.

  • Transaction Monitoring is the process of monitoring financial transactions to identify suspicious activities.

  • Sanctioned countries are those that are subject to economic or trade sanctions imposed by governments or international organizations.

  • Sectoral sanctions are restrictions on specific sectors of a country's economy, such as energy or finance.

  • High risk refers to cus...read more

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Q2. What are the programing tools you know ? Rate yourself ( out of 5 )

Ans.

I am proficient in several programming tools and rate myself highly in their usage.

  • Java - 5

  • Python - 4

  • SQL - 4

  • R - 3

  • MATLAB - 3

  • Tableau - 4

  • Excel - 5

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Q3. How to remove duplicate Records by using first. And last. ?

Ans.

Removing duplicate records using first. and last. functions.

  • Use the first. and last. functions to select the first and last occurrence of each record.

  • Sort the data by the key field to ensure that the first and last records are selected correctly.

  • Use the delete statement to remove the duplicate records.

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Q4. What type of adhoc report you get from client side ?

Ans.

Adhoc reports requested by clients vary depending on their needs and objectives.

  • Client may request reports on sales performance, customer behavior, or market trends.

  • Reports may be in the form of tables, graphs, or charts.

  • Clients may also request customized reports based on specific criteria or filters.

  • Adhoc reports are usually requested on a one-time basis and may not follow a regular schedule.

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Q5. How to remove null values in numeric data types?

Ans.

Null values in numeric data types can be removed using various methods.

  • Use the dropna() function in pandas library to remove null values.

  • Replace null values with a default value using fillna() function.

  • Use the interpolate() function to fill null values with interpolated values.

  • Use the drop() function to remove rows or columns with null values.

  • Use the notnull() function to filter out null values from the data.

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Q6. What are the different filters in Tableau you use.

Ans.

Tableau has various filters including dimension filters, measure filters, top N filters, wildcard filters, and context filters.

  • Dimension filters allow you to filter data based on specific dimensions such as category or region.

  • Measure filters filter data based on measures like sales or profit.

  • Top N filters allow you to filter the top or bottom N values based on a measure.

  • Wildcard filters filter data based on a specific pattern or wildcard.

  • Context filters create a temporary sub...read more

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Q7. How to get different dataset from existing one ?

Ans.

To get a different dataset from an existing one, you can filter, sort, aggregate, or transform the data.

  • Filter the data by selecting specific rows or columns based on certain criteria.

  • Sort the data by arranging it in ascending or descending order based on one or more columns.

  • Aggregate the data by grouping it based on one or more columns and calculating summary statistics.

  • Transform the data by applying mathematical or logical operations, merging with other datasets, or creatin...read more

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Q8. What are the different dashboard you prepared till now

Ans.

I have prepared various dashboards for different purposes.

  • Sales dashboard for tracking revenue and sales performance

  • Marketing dashboard for monitoring campaign effectiveness and lead generation

  • Financial dashboard for analyzing financial data and forecasting

  • Operational dashboard for tracking operational metrics and KPIs

  • Customer service dashboard for monitoring customer satisfaction and support metrics

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Q9. How Tableau get data from SAS environment?

Ans.

Tableau can connect to SAS environment through ODBC or SAS/ACCESS Interface.

  • Tableau can use ODBC to connect to SAS environment and access data.

  • SAS/ACCESS Interface can also be used to connect Tableau to SAS environment.

  • Tableau can directly connect to SAS datasets and tables.

  • Tableau can also use SAS data connectors to access data from SAS environment.

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Q10. What is Datamart and Data warehouse

Ans.

Datamart is a subset of a data warehouse that is designed for a specific business unit or department.

  • Data warehouse is a centralized repository that stores data from various sources for business intelligence purposes.

  • Data warehouse is designed for enterprise-wide querying and analysis.

  • Datamart is a subset of a data warehouse that is designed for a specific business unit or department.

  • Datamart contains a subset of data from the data warehouse that is relevant to a particular b...read more

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Q11. What are the cleansing process you used

Ans.

We use a multi-step process to cleanse data, including removing duplicates, correcting errors, and standardizing formats.

  • Identify and remove duplicates

  • Correct errors such as misspellings and inconsistent data formats

  • Standardize data formats to ensure consistency

  • Validate data against external sources

  • Perform manual review and verification as needed

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Q12. How to create macro variables?

Ans.

Macro variables can be created using the %LET statement in SAS programming.

  • Use %LET statement followed by the macro variable name and its value.

  • Macro variables can be created with or without quotes around the value.

  • Macro variables can be referenced using & symbol followed by the variable name.

  • Example: %LET var1 = 10; %LET var2 = 'Hello';

  • Example: %LET var3 = &var1.;

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Q13. What is calculative field in SAS

Ans.

A calculative field in SAS is a field that is created by performing calculations on existing fields.

  • Calculative fields are created using SAS functions and expressions.

  • They can be used to perform complex calculations and transformations on data.

  • Examples include calculating averages, percentages, and ratios.

  • Calculative fields can be added to existing datasets or created as part of a data transformation process.

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Q14. Difference between add and sum function

Ans.

Add function is used to concatenate two or more strings or add numbers, while sum function is used to add numbers only.

  • Add function can be used to concatenate strings like 'hello' and 'world' to form 'helloworld'

  • Add function can also be used to add numbers like 2 and 3 to form 5

  • Sum function is used to add numbers only, like sum(2,3) will return 5

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Q15. Difference between CSV and Excel file

Ans.

CSV is a plain text file format while Excel is a binary file format.

  • CSV files contain data separated by commas while Excel files can contain multiple sheets and complex formatting.

  • CSV files can be easily opened in any text editor while Excel files require Microsoft Excel or a compatible program.

  • CSV files are smaller in size compared to Excel files.

  • CSV files are commonly used for data exchange between different systems while Excel files are used for data analysis and reporting...read more

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Q16. What is blending in Tableau ?

Ans.

Blending in Tableau is combining data from multiple sources to create a single view.

  • Blending allows for analysis of data from different sources without the need for merging.

  • Data sources can be blended based on common fields or dimensions.

  • Blending can be used to create a single view with data from multiple sources.

  • Example: Blending sales data from Excel with customer data from a database to analyze customer behavior.

  • Example: Blending survey data from SurveyMonkey with sales da...read more

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Q17. Important of SAS Macro.

Ans.

SAS Macro is important for automating repetitive tasks and reducing code redundancy.

  • SAS Macro allows for parameterization of code, making it more flexible and reusable.

  • It can be used to automate repetitive tasks, saving time and effort.

  • Macro variables can be used to store and manipulate data, making code more efficient.

  • Macro functions can be used to perform complex calculations and data transformations.

  • SAS Macro can help reduce code redundancy and improve code maintainability...read more

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Q18. Whom you present your report

Ans.

I present my report to my immediate supervisor and other relevant stakeholders.

  • Reports are presented to the immediate supervisor for review and approval.

  • Reports may also be presented to other stakeholders such as department heads or clients.

  • The presentation format may vary depending on the audience and purpose of the report.

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Q19. Use of retain statement.

Ans.

Retain statement is used to store the value of a variable across iterations of a data step.

  • Retain statement is used to keep the value of a variable from one iteration of a data step to the next.

  • It is commonly used to calculate running totals or to keep track of previous values.

  • Retain statement is placed before the SET statement in a data step.

  • Example: retain total; total + sales; output;

  • Retain statement can also be used with arrays to keep track of previous values of an array...read more

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