Assistant Consulting Manager

Assistant Consulting Manager Interview Questions and Answers

Updated 12 Sep 2023

Q1. What are differences between Append and merge

Ans.

Append adds new data to the end of a dataset, while merge combines two datasets based on a common key.

  • Append adds rows to the end of a dataset, while merge combines rows from two datasets based on a common key column.

  • Append is useful for adding new observations to an existing dataset, while merge is used to combine datasets with related information.

  • Append does not require a common key, while merge requires a common key to match rows from both datasets.

  • Example: Appending a new...read more

Q2. What are joins in explain types with examples

Ans.

Joins are used to combine rows from two or more tables based on a related column between them.

  • Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

  • INNER JOIN returns rows when there is at least one match in both tables

  • LEFT JOIN returns all rows from the left table and the matched rows from the right table

  • RIGHT JOIN returns all rows from the right table and the matched rows from the left table

  • FULL JOIN returns rows when there is a match in one of the tables

Q3. What is the diff between All and Allexcept

Ans.

All returns all values in a table, while Allexcept returns all values except those specified in the argument.

  • All returns all values in a column or table.

  • Allexcept returns all values in a column or table except those specified in the argument.

  • Example: All(Table[Column]) returns all values in the specified column.

  • Example: Allexcept(Table, Table[Column]) returns all values in the table except those in the specified column.

Q4. What are Data Gateways

Ans.

Data Gateways are software or hardware solutions that enable secure and efficient transfer of data between different systems or networks.

  • Data Gateways act as intermediaries between data sources and data destinations

  • They help in translating data formats, protocols, and security measures to ensure smooth data transfer

  • Examples include Amazon API Gateway, Microsoft Azure Data Gateway, and IBM DataPower Gateway

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Q5. What are Dynamic Row filter

Ans.

Dynamic Row filter is a feature that allows users to filter rows in a table based on certain criteria that can change dynamically.

  • Dynamic Row filter allows users to specify conditions for filtering rows in a table.

  • Users can set up dynamic filters that change based on user input or other factors.

  • For example, a dynamic row filter could be set up to only show rows where the value in a certain column is greater than a user-specified number.

Assistant Consulting Manager Jobs

Eduvisors - Analyst/Associate Consultant/Senior Consultant/Assistant Manager - Consulting (5-20 yrs) 5-20 years
Eduvisors
1.0
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