MSBI Interview Questions and Answers for Experienced PDF Free Download
If you are looking for a career in business intelligence or data analysis, you might be interested in Microsoft Business Intelligence (MSBI), a powerful tool that helps you aggregate, analyse and report data from various sources. MSBI is widely used by businesses and developers to improve decision making, performance and efficiency.
msbi interview questions and answers for experienced pdf free download
However, to land a job as an MSBI developer, consultant or analyst, you need to ace the interview process and demonstrate your knowledge and skills in using MSBI. To help you prepare, we have compiled a list of 10 common MSBI interview questions and answers that cover the essential aspects of MSBI, such as its tools, components, features and functions.
By reading this article, you will learn:
What is MSBI and why is it important?
What are the benefits of MSBI for businesses and developers?
How to use MSBI tools and components to integrate, analyse and report data?
How to download a free PDF of this article for future reference?
Introduction
What is MSBI and why is it important?
MSBI stands for Microsoft Business Intelligence, a suite of tools and services that enable businesses to collect, transform, analyse and visualise data from various sources, such as databases, files, web services, etc. MSBI consists of three main tools: SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS).
MSBI is important because it helps businesses to:
Gain insights into their data and make informed decisions
Improve their performance, efficiency and profitability
Identify trends, patterns and opportunities
Solve problems and challenges
Create interactive reports and dashboards
What are the benefits of MSBI for businesses and developers?
MSBI offers several benefits for businesses and developers, such as:
It is easy to use and learn, as it integrates with other Microsoft products, such as Excel, Power BI, etc.
It is flexible and scalable, as it can handle large volumes of data from different sources and formats
It is cost-effective and reliable, as it leverages the power of SQL Server, a robust database management system
It is secure and compliant, as it supports encryption, authentication, authorization and auditing features
It is customizable and extensible, as it allows users to create custom tasks, components, scripts, expressions, etc.
MSBI Interview Questions and Answers
MSBI Tools and Components
Q1. What are the different tools of MSBI?
A1. MSBI A1. MSBI consists of three main tools that work together to provide a complete business intelligence solution. They are: - SQL Server Integration Services (SSIS): This is a tool that helps users to integrate data from various sources, such as databases, files, web services, etc. SSIS also allows users to perform data transformation, cleansing, validation, and loading operations. SSIS is used to create and execute ETL (Extract, Transform and Load) packages that move data from source to destination. - SQL Server Analysis Services (SSAS): This is a tool that helps users to analyse and model data using multidimensional and tabular structures. SSAS also allows users to create and deploy cubes, dimensions, measures, hierarchies, calculations, etc. SSAS is used to create and execute OLAP (Online Analytical Processing) and BI (Business Intelligence) queries that provide insights into data. - SQL Server Reporting Services (SSRS): This is a tool that helps users to create and deliver interactive reports and dashboards using various formats, such as HTML, PDF, Excel, etc. SSRS also allows users to design and publish reports using graphical tools, expressions, parameters, etc. SSRS is used to create and execute RDL (Report Definition Language) files that display data in a visual way. Q2. What are the components of SSIS, SSAS and SSRS?
A2. Each of the MSBI tools has several components that perform different functions and tasks. Some of the main components are: - SSIS Components: - SSIS Designer: This is a graphical tool that allows users to create and edit ETL packages using drag-and-drop interface. - SSIS Service: This is a Windows service that manages the storage and execution of ETL packages on the server. - SSIS Catalog: This is a database that stores the ETL packages, projects, parameters, environments, etc. - SSIS Runtime: This is a component that executes the ETL packages on the server or client machine. - SSIS Debugger: This is a tool that allows users to debug and troubleshoot ETL packages by setting breakpoints, watches, etc. - SSAS Components: - SSAS Designer: This is a graphical tool that allows users to create and edit data models using multidimensional or tabular modes. - SSAS Service: This is a Windows service that manages the storage and processing of data models on the server. - SSAS Database: This is a database that stores the data models, cubes, dimensions, measures, etc. - SSAS Engine: This is a component that executes the OLAP and BI queries on the server or client machine. - SSAS Browser: This is a tool that allows users to browse and explore the data models using a web interface. - SSRS Components: - Report Designer: This is a graphical tool that allows users to create and edit reports using various tools and features. - Report Server: This is a Windows service that manages the storage and delivery of reports on the server. - Report Database: This is a database that stores the reports, data sources, subscriptions, etc. - Report Processor: This is a component that executes the RDL files and renders the reports in different formats. - Report Manager: This is a web-based tool that allows users to manage and access the reports on the server. MSBI Data Flow and Control Flow
Q3. How do you use SSIS to perform ETL operations?
A3. SSIS is a tool that helps users to perform ETL operations, which are the processes of extracting data from various sources, transforming data according to business rules and logic, and loading data into a destination. To use SSIS to perform ETL operations, users need to follow these steps:
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Create a new SSIS project in Visual Studio or SQL Server Data Tools (SSDT)
Add one or more data sources and data destinations to the project, such as SQL Server, Excel, Flat File, etc.
Create a new SSIS package in the project and open it in the SSIS Designer
Add one or more control flow tasks to the package, such as Execute SQL Task, Data Flow Task, Script Task, etc.
Add one or more data flow tasks to the package and open them in the Data Flow tab
Add one or more data flow components to each data flow task, such as Source, Destination, Transformation, etc.
Configure the properties and connections of each data flow component
Save and execute the package either in Visual Studio or SSDT or on the SSIS Server
Monitor and troubleshoot the package execution using SSIS Debugger, SSIS Catalog, SSIS Logs, etc.
Q4. What is the difference between data flow and control flow in SSIS?
A4. Data flow and control flow are two concepts that are essential to understand in SSIS. They are: - Data flow: This is the process of moving data from a source to a destination, while applying various transformations along the way. Data flow is implemented by using data flow tasks and data flow components in SSIS. Data flow components are divided into three types: source, destination and transformation. Source components extract data from a source, such as a database, a file, a web service, etc. Destination components load data into a destination, such as a database, a file, a web service, etc. Transformation components modify data according to business rules and logic, such as sorting, filtering, aggregating, merging, splitting, etc. - Control flow: This is the process of controlling the execution of tasks and workflows in SSIS. Control flow is implemented by using control flow tasks and containers in SSIS. Control flow tasks are units of work that perform specific actions, such as executing SQL statements, running scripts, sending emails, etc. Control flow containers are structures that group and organize control flow tasks into logical units, such as sequence containers, loop containers and conditional containers. Q5. How do you create and execute a control flow task in SSIS?
A5. A control flow task is a unit of work that performs a specific action in SSIS. To create and execute a control flow task in SSIS, users need to follow these steps:
Open the SSIS package in the SSIS Designer and switch to the Control Flow tab
Drag and drop a control flow task from the Toolbox to the design surface, such as Execute SQL Task, Script Task, Send Mail Task, etc.
Double-click the control flow task to open its editor window and configure its properties and settings, such as connection, command, script, expression, etc.
Connect the control flow task to other tasks or containers using precedence constraints, which define the order and condition of execution
Save and execute the package either in Visual Studio or SSDT or on the SSIS Server
Monitor and troubleshoot the task execution using SSIS Debugger, SSIS Catalog, SSIS Logs, etc.
Q6. How do you use data flow transformations in SSIS?
A6. Data flow transformations are components that modify data according to business rules and logic in SSIS. To use data flow transformations in SSIS, users need to follow these steps:
Open the SSIS package in the SSIS Designer and switch to the Data Flow tab
Add a data flow task to the package and double-click it to open its editor window
Add a source component to the data flow task and configure its properties and connections, such as SQL Server, Excel, Flat File, etc.
Drag and drop one or more transformation components from the Toolbox to the design surface, such as Sort, Filter, Aggregate, Merge Join, Lookup, etc.
Connect the source component to the transformation components using data flow paths, which define the flow of data
Double-click each transformation component to open its editor window and configure its properties and settings, such as input columns, output columns, expressions, conditions, etc.
Add a destination component to the data flow task and configure its properties and connections, such as SQL Server, Excel, Flat File, etc.
Connect the transformation components to the destination component using data flow paths
Save and execute the package either in Visual Studio or SSDT or on the SSIS Server
Monitor and troubleshoot the transformation execution using SSIS Debugger, SSIS Catalog, SSIS Logs, etc.
MSBI Data Analysis and Reporting
Q7. What are the types of data analysis models in SSAS?
A7. SSAS is a tool that helps users to analyse and model data using multidimensional and tabular structures. SSAS supports two types of data analysis models:
Multidimensional model: This is a model that organizes data into cubes, dimensions, measures, hierarchies, etc. A cube is a collection of measures that are related by dimensions. A dimension is a set of attributes that describe a measure. A measure is a numeric value that can be aggregated and analysed. A hierarchy is a logical structure that defines the levels of aggregation and drill-down in a dimension.
Tabular model: This is a model that organizes data into tables, columns, relationships, etc. A table is a collection of columns that store data. A column is a field that contains values or expressions. A relationship is a link that defines how tables are connected by common columns.
Q8. How do you create and deploy a cube in SSAS?
A8. A cube is a multidimensional data structure that stores measures and dimensions in SSAS. To create and deploy a cube in SSAS, users need to follow these steps:
Create a new SSAS project in Visual Studio or SQL Server Data Tools (SSDT) and select the Multidimensional and Data Mining Model template
Add one or more data sources to the project, such as SQL Server, Oracle, etc.
Add one or more data source views to the project, which are logical views of the data sources
Add one or more dimensions to the project, which are sets of attributes that describe the measures
Add one or more cubes to the project, which are collections of measures that are related by dimensions
Configure the properties and settings of each dimension and cube, such as name, description, key attribute, measure group, aggregation function, etc.
Process the dimensions and cubes to load the data from the data sources into the SSAS database
Deploy the project to the SSAS server using the Deployment Wizard or the Deploy command
Browse and test the cube using the Cube Browser or Excel
Q9. What are the features and benefits of SSRS?
A9. SSRS is a tool that helps users to create and deliver interactive reports and dashboards using various formats, such as HTML, PDF, Excel, etc. SSRS offers several features and benefits, such as:
It provides a rich set of tools and features to design and publish reports, such as Report Designer, Report Builder, Report Manager, etc.
It supports various types of reports, such as tabular, matrix, chart, map, gauge, etc.
It allows users to customize and enhance reports using expressions, parameters, filters, groups, sorts, etc.
It enables users to access and display data from various sources and formats, such as SQL Server, Oracle, XML, etc.
It supports various modes of report delivery and consumption, such as web-based, email-based, subscription-based, etc.
It integrates with other Microsoft products and services, such as SQL Server, SharePoint, Power BI, etc.
Q10. How do you design and publish a report in SSRS?
A10. A report is a document that displays data in a visual and interactive way in SSRS. To design and publish a report in SSRS, users need to follow these steps:
Create a new SSRS project in Visual Studio or SQL Server Data Tools (SSDT) and select the Report Server Project template
Add one or more data sources to the project, such as SQL Server, Oracle, etc.
Add one or more data sets to the project, which are queries that retrieve data from the data sources
Add a new report to the project and open it in the Report Designer or Report Builder
Add one or more report items to the report, such as tables, matrices, charts, maps, gauges, etc.
Configure the properties and settings of each report item, such as data fields, layout, format, style, etc.
Add one or more expressions, parameters, filters, groups, sorts, etc. to customize and enhance the report
Preview and test the report using the Preview tab or the Report Viewer
Publish the report to the SSRS server using the Deploy command or the Publish Wizard
Manage and access the report using the Report Manager or a web browser
Conclusion
Summary of the main points
In this article, we have covered 10 common MSBI interview questions and answers that can help you prepare for your next MSBI interview. We have learned:
What is MSBI and why is it important for businesses and developers?
What are the different tools and components of MSBI and how do they work together?
How to use SSIS to perform ETL operations and what is the difference between data flow and control flow?
How to use SSAS to create and deploy cubes and what are the types of data analysis models?
How to use SSRS to design and publish reports and what are the features and benefits of SSRS?
Call to action and link to download the PDF
We hope that this article has given you a clear understanding of MSBI and its tools and components. If you want to learn more about MSBI and practice your skills, you can download a free PDF of this article that contains more MSBI interview questions and answers for experienced professionals. Just click on the link below and get ready to ace your MSBI interview!
Frequently Asked Questions
Q: What are some of the common MSBI interview questions for freshers?
A: Some of the common MSBI interview questions for freshers are: - What is business intelligence and what are its benefits? - What are the stages of a BI project lifecycle? - What are some of the best practices for designing and developing an ETL package? - What are some of the common data flow transformations in SSIS and what do they do? - What are some of the common control flow tasks in SSIS and what do they do? - What are some of the common data analysis techniques in SSAS and what do they do? - What are some of the common report types in SSRS and what do they do? - How do you optimize the performance of an SSIS package, an SSAS cube or an SSRS report? - How do you handle errors and exceptions in an SSIS package, an SSAS cube or an SSRS report? - How do you test and debug an SSIS package, an SSAS cube or an SSRS report?
Q: What are some of the advanced MSBI interview questions for experienced professionals?
A: Some of the advanced MSBI interview questions for experienced professionals are: - How do you implement incremental loading in SSIS? - How do you implement partitioning and aggregation in SSAS? - How do you implement security and authentication in SSRS? - How do you use variables, expressions and parameters in SSIS, SSAS or SSRS? - How do you use custom tasks, components, scripts or functions in SSIS, SSAS or SSRS? - How do you use logging, auditing or monitoring features in SSIS, SSAS or SSRS? - How do you use integration, collaboration or deployment features in MSBI? - How do you use Power BI or Excel with MSBI tools? - How do you use cloud-based or hybrid solutions with MSBI tools? - How do you handle complex scenarios or challenges with MSBI tools?
<h Q: How do you prepare for an MSBI interview?
A: To prepare for an MSBI interview, you should: - Review the basics and concepts of MSBI and its tools and components - Practice your skills and knowledge by solving MSBI interview questions and scenarios - Update your resume and portfolio with your MSBI projects and achievements - Research the company and the role that you are applying for - Dress professionally and arrive on time for the interview - Be confident and enthusiastic about your MSBI expertise and experience - Ask relevant and insightful questions to the interviewer
Q: What are some of the common MSBI interview mistakes to avoid?
A: Some of the common MSBI interview mistakes to avoid are: - Not having a clear understanding of MSBI and its tools and components - Not being able to explain or demonstrate your MSBI skills and knowledge - Not having any examples or references of your MSBI projects or achievements - Not being prepared for the technical or behavioral questions or scenarios - Not showing interest or enthusiasm for the company or the role - Not being polite or respectful to the interviewer - Not following up or thanking the interviewer after the interview
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