RPA Infotech Deputy General Manager Interview Questions and Answers

Q1. Questions related on PMO is most asked and how you have managed team member. And who professional you are.
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Q2. There were multiple rounds which are technical only.
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Q3. Add best values you can add to the organisation
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Q1. Talk about your expefience
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Q2. Your Project exposure
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Q1. Previous projects you worked on
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Q2. Reason for leaving last company
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Q1. DOD vs DOR vs acceptance criteria
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DOD vs DOR vs acceptance criteria
• Definition: DOD (Definition of Done) is a checklist of criteria that a product must meet before it can be considered complete.

• Definition: DOR (Definition of Ready) is a checklist of criteria that a user story must meet before it can be worked on.

• Acceptance Criteria: Specific conditions that a product must meet to be accepted by the customer.

• DOD ensures the quality of the final product, ...read more
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Q2. Conflict management skills
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Q3. How IT project management is fifferent from regular project management?
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IT project management involves managing projects related to information technology, while regular project management can encompass a wider range of industries and sectors.
• IT project management requires specific technical knowledge and expertise in areas such as software development, network infrastructure, and cybersecurity.

• Regular project management may involve industries such as construction, healthcare, marketing, a...read more
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Q1. How do you handle risks in a project?
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Q2. Off-project activities that helps individuals and the company?
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Q3. Project life cycle?
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Q4. How to keep the team together in a remote environment?
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Q5. Conflict handling!
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The first round was a combination of MCQs and SQL Coding test. It consisted of 23 MCQs on SQL, 10 MCQs on Power BI and 5 SQL Coding questions.

Q1. Simple questions on SQL were asked.
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Q1. What is pivot table in Excel?
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A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.
• Pivot tables allow you to analyze and summarize large amounts of data in a spreadsheet.

• You can easily rearrange the layout of the data to view it from different perspectives.

• Pivot tables can perform functions like sum, average, count, and more on the data.

• They are useful for creating reports...read more
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Q2. What is 'Data Validation' in Excel?
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Data Validation in Excel ensures that data entered in a cell meets certain criteria or conditions.
• Data Validation allows you to set rules for what can be entered in a cell, such as a range of values, a list of items, or a custom formula.

• Examples of Data Validation include setting a drop-down list of options for a cell, restricting input to a certain number range, or ensuring dates are entered in a specific format.

• Data ...read more
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Q3. What is the order of execution of an SQL query?
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The order of execution of an SQL query involves multiple steps to retrieve data from a database.
• 1. Parsing: The SQL query is first parsed to check for syntax errors.

• 2. Optimization: The query optimizer creates an execution plan to determine the most efficient way to retrieve data.

• 3. Compilation: The optimized query is compiled into an executable form.

• 4. Execution: The compiled query is executed by the database engine t...read more
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Q4. What is the difference between Tree Map and Heatmap in Tableau?
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Tree Map visualizes hierarchical data using nested rectangles, while Heatmap displays data values using color gradients.
• Tree Map displays data hierarchically with nested rectangles, where the size and color represent different measures.

• Heatmap visualizes data values using color gradients, with darker colors indicating higher values.

• Tree Map is useful for showing hierarchical data structures, while Heatmap is effective ...read more
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Q5. What is the difference between 'Extract Data' and 'Live Connection' in Tableau?
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Extract Data saves a snapshot of data in Tableau workbook, while Live Connection directly connects to data source.
• Extract Data creates a static copy of data in Tableau workbook, while Live Connection directly queries data source in real-time.

• Extract Data is useful for working offline or with small datasets, while Live Connection is ideal for large datasets or when data is frequently updated.

• Extract Data can improve per...read more
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