Find Interview Questions for Sutra consulting pvt. ltd.

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BRD (Business Requirements Document) outlines the high-level business needs and objectives. SRS (Software Requirements Specification) details the functional and non-functional requirements for the software. Use Case documents describe specific interactions between users and the system to achieve particular goals.

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Yes, banks face significant challenges from money laundering when attracting deposits. Money laundering can lead to reputational damage, regulatory penalties, and financial losses. Banks must implement strict compliance measures and due diligence processes to detect and prevent illicit activities, which can complicate their efforts to attract legitimate deposits.

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I am looking for new challenges and opportunities for growth that align more closely with my career goals.

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Working capital is the difference between a company's current assets and current liabilities, indicating the short-term financial health and operational efficiency of the business.

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To depict dependency in MS Project, you can link tasks by selecting the tasks you want to connect, then clicking on the "Link Tasks" button in the toolbar or using the shortcut Ctrl + F2. This creates a finish-to-start dependency by default. You can also adjust the type of dependency (finish-to-start, start-to-start, finish-to-finish, or start-to-finish) by double-clicking on the task and modifying the "Predecessors" tab.

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I prefer to work in the private sector because I value the opportunities for innovation, career growth, and a dynamic work environment that it offers.

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Some common data analysis tools and software include:

1. Microsoft Excel
2. R
3. Python (with libraries like Pandas and NumPy)
4. SQL
5. Tableau
6. Power BI
7. SAS
8. SPSS
9. Google Analytics
10. Apache Spark

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Regression analysis is a statistical method used to examine the relationship between one dependent variable and one or more independent variables. It is used to predict outcomes, identify trends, and understand the strength of relationships in data.

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The different types of data analysis are:

1. Descriptive Analysis
2. Diagnostic Analysis
3. Predictive Analysis
4. Prescriptive Analysis
5. Exploratory Analysis

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SQL (Structured Query Language) is used in data analysis to query, manipulate, and manage data stored in relational databases. It allows analysts to retrieve specific data, perform calculations, filter results, and aggregate information to derive insights from large datasets.

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1. Remove duplicates
2. Handle missing values
3. Correct inconsistencies
4. Standardize formats
5. Filter out irrelevant data
6. Validate data accuracy
7. Normalize data if necessary

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A company holds cash for several reasons: to meet short-term obligations, to take advantage of investment opportunities, to maintain liquidity for operational needs, to manage unexpected expenses, and to ensure financial stability during economic fluctuations.

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BPO stands for Business Process Outsourcing, which is the practice of hiring a third-party company to handle specific business tasks or processes, such as customer service, technical support, or accounting.

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I would first communicate with the contractor to identify the issues and understand their perspective. Then, I would review the drawings and specifications with them to clarify expectations. If the problem persists, I would document the non-compliance, issue a formal notice, and work with the project team to develop a corrective action plan. If necessary, I would escalate the issue to higher management or consider alternative actions as per the contract terms.

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Yes, I will manage all the resources effectively to ensure project success.

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A Change and Configuration Management Repository is a centralized database that stores information about changes made to a project, including configuration items, version control, and documentation. It helps track modifications, manage versions, and ensure that all team members have access to the latest project information.

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A project charter is a formal document that outlines the objectives, scope, stakeholders, and overall framework of a project. It serves as an official authorization for the project to begin and provides a high-level overview of what the project aims to achieve.

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To do five-year planning and automatic forecasting, follow these steps:

1. **Define Objectives**: Establish clear long-term goals and objectives for the organization.
2. **Data Collection**: Gather historical data and market research relevant to your industry.
3. **Trend Analysis**: Analyze historical data to identify trends and patterns that can influence future performance.
4. **Scenario Planning**: Develop different scenarios based on potential market changes, economic conditions, and internal factors.
5. **Forecasting Models**: Use statistical methods and forecasting models (like time series analysis or regression) to project future outcomes based on the collected data.
6. **Review and Adjust**: Regularly review forecasts against actual performance and adjust plans as necessary.
7. **Automation Tools**: Utilize software tools for data analysis and forecasting to automate the process and improve accuracy.

By following these steps, you can create a structured five-year plan with automated forecasting capabilities.