How do you make a featured dashboard in Power BI ? Power BI interview questions and answers 329

 How do you make a featured dashboard in Power BI ?

As of October 26, 2023, the feature of setting a specific dashboard as the "featured dashboard" in Power BI has been retired. This means users are no longer greeted with a single pre-selected dashboard upon logging in to the Power BI Service.

However, there are several alternative ways to achieve similar functionality and ensure specific dashboards are readily accessible to users:

1. Utilize "Favorites":

• Users can mark individual dashboards or reports as "favorites" by clicking the star icon next to them.

• Favorited content appears in the "Favorites" section of the navigation pane, offering quick access for users.

• This allows individual users to personalize their home page and prioritize preferred dashboards without affecting others.

2. Set Navigation Defaults:

• Workspace admins can set default navigation settings for the workspace.

• This includes choosing a specific starting page (e.g., "Recent" or "Content") and potentially pinning specific dashboards or reports to the top of the content list.

• While not a true "featured dashboard," this offers some control over what users see first within a specific workspace.

3. Share Links or Embed Dashboards:

• Share specific dashboard links with users via email or other communication channels.

• Clicking the shared link will directly open the chosen dashboard, bypassing the main Power BI landing page.

• Consider embedding dashboards within internal web portals or applications for seamless access within existing workflows.

4. Leverage Custom Apps:

• For more advanced control, explore creating custom Power BI apps.

• Apps can bundle related reports, dashboards, and data insights into a single package.

• Upon launching the app, users are directly presented with the app's content, including prioritized dashboards and reports.

Remember:

• The retirement of featured dashboards reflects a shift towards user personalization and flexibility within Power BI.

• Utilize alternative methods like favorites, navigation defaults, and link sharing to ensure users can easily access desired dashboards.

• Explore advanced options like custom apps for more tailored experiences and organization of content.

By adapting to these changes and employing alternative approaches, you can still effectively control user access to dashboards and reports within Power BI, even without the "featured dashboard" functionality.

How do you manage a role in Power BI? Power BI interview questions and answers 328

 How do you manage a role in Power BI?

There are two aspects to managing roles in Power BI:

1. Managing Workspace Roles:

• Assigning Roles: You can assign users to pre-defined roles within a workspace, each with specific permissions for accessing and interacting with reports, data, and settings. Common roles include:

• Admin: Full control over the workspace.

• Member: Can contribute content and manage some workspace settings.

• Contributor: Can contribute content but cannot manage settings.

• Viewer: Can only view content, without editing or sharing capabilities.

• Adding/Removing Users: You can add or remove users from the workspace and assign them appropriate roles depending on their needs and access requirements.

• Managing Permissions: You can adjust individual permissions for specific roles within the workspace, granting or restricting access to certain features or functionalities.

2. Managing Row-Level Security (RLS):

• Defining RLS Rules: You can create RLS rules within the Power BI data model to restrict data visibility for specific users or groups based on attributes or conditions. This allows fine-grained control over what data users can see based on their roles, departments, or other factors.

• Using DAX Expressions: RLS rules are defined using DAX expressions, a formula language within Power BI. These expressions filter data based on user attributes or other criteria, ensuring users only see data relevant to them.

• Applying RLS to Visuals: You can apply RLS filters to specific visuals within reports, allowing users to see different data subsets based on their roles or RLS rules.

Additional Considerations:

• Workspace Ownership: Workspace ownership plays a role in managing roles. Admins and owners have greater control over assigning roles and managing permissions.

• User Groups: You can leverage user groups from Azure Active Directory or Microsoft Groups to simplify role assignment by managing permissions for groups instead of individual users.

• Best Practices: Implement clear role structures, utilize RLS for sensitive data, and regularly review and update access controls to ensure proper data security and governance.

Resources:

• Power BI Roles in workspaces: https://learn.microsoft.com/en-us/power-bi/collaborate-share/service-roles-new-workspaces

• Row-level security (RLS) with Power BI: https://learn.microsoft.com/en-us/power-bi/enterprise/service-admin-rls

• Power BI DAX Function Reference: https://learn.microsoft.com/en-us/dax/dax-function-reference

Please let me know if you have any further questions about managing specific roles or scenarios within Power BI. I'm happy to help!

How do you reshape data in Power BI? Power BI interview questions and answers 327

 How do you reshape data in Power BI?

Reshaping data in Power BI is crucial for transforming raw data into a format suitable for analysis and visualization. There are several ways to achieve this, depending on your desired outcome:

1. Transposing Data:

• Use the Transpose function or the 'T' operator to switch rows and columns, changing data layout from vertical to horizontal or vice versa.

• Helpful for merging data from multiple columns into a single row or extracting specific values from rows into separate columns.

2. Unpivoting Data:

• Use the Unpivot function or the Power Query Editor's Unpivot Columns feature to transform multiple columns with similar data attributes into rows.

• Ideal for summarizing data from wide tables with repeated attribute values, making it easier to analyze trends and relationships.

3. Pivoting Data:

• Use the Pivot function or the Power Query Editor's Pivot Table feature to aggregate data based on one or more columns and create a summarized table.

• Useful for calculating totals, averages, or other metrics across different categories or groups in your data.

4. Using Custom Columns:

• Create new calculated columns with formulas in the Power Query Editor to manipulate and reshape data based on specific logic.

• This allows for complex transformations like splitting text, extracting specific parts of strings, or calculating new values based on other columns.

5. Merging and Adding Columns:

• Use the Table.Combine function or the Power Query Editor's Merge Queries feature to combine data from multiple tables or add new columns with additional information from other sources.

• This helps enrich your data model and enable analysis across different data sets.

6. Advanced Techniques:

• Utilize M functions, a powerful programming language within Power Query, for even more complex data reshaping scenarios.

• Requires coding knowledge but allows for customized logic and transformations not readily available through other methods.

Choosing the Right Method:

The best method for reshaping your data depends on the specific structure of your data and the desired outcome. Consider the following:

• What is the current format of your data? (e.g., rows and columns, attribute values)

• What do you want to achieve with the reshaped data? (e.g., aggregate values, analyze trends, create new insights)

• What features and tools are available within your Power BI version?

• Do you require complex transformations or custom logic?

By understanding these factors and exploring the available techniques, you can effectively reshape your data in Power BI to unlock its full potential for analysis and visualization.

Additional Resources:

• Power BI Tutorial: Shape and combine data in Power BI Desktop: https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-shape-and-combine-data

• Reshaping Dataset with Power Query: https://community.fabric.microsoft.com/t5/Desktop/Get-quot-not-allowed-for-columns-on-the-one-side-of-a-many-to/m-p/778236

• 
  

11. Data Reshaping in Power BI: https://www.youtube.com/watch?v=113_LHiVqGA

Remember, reshaping data can be a powerful tool for enhancing your Power BI experience and creating insightful dashboards and reports. Don't hesitate to experiment and explore different techniques to achieve the desired data format for your analysis needs.

How does Power BI DAX work ? Power BI interview questions and answers 326

 How does Power BI DAX work ?

Power BI DAX (Data Analysis Expressions) is a formula language used to perform calculations and transformations on data within Power BI data models. It enables you to create custom calculations, measures, and calculated columns beyond the basic aggregation options available in the user interface. Here's a breakdown of how DAX works:

1. Building Blocks:

• Functions: DAX offers a rich library of functions for various calculations, including mathematical, logical, text manipulation, date time functions, and statistical functions.

• Operators: Basic operators like +, -, *, /, and comparison operators (>, <, =, etc.) combine values and expressions.

• Tables and Columns: Calculations reference data from specific tables and columns in the Power BI data model.

• Measures vs. Calculated Columns:

• Measures: Define calculations that return a single value for the entire table or specific filters. They are ideal for calculating metrics and KPIs.

• Calculated Columns: Define new columns with data derived from existing columns or other calculations. They extend the data model with additional insights.

2. Formula Syntax:

• DAX formulas follow a specific syntax using functions, operators, references, and constants.

• Formulas start with an equal sign (=) followed by the desired calculation.

• Functions have specific arguments enclosed in parentheses (e.g., SUM([Sales Amount])).

• Operators connect different elements within the formula.

3. Key Concepts:

• Iteration: DAX uses implicit iteration, meaning it applies functions to each row in a table sequentially. This enables calculations like calculating average sales per customer or identifying the highest selling product by month.

• Context: DAX calculations operate within a specific context determined by filters applied in the report, visuals, or formulas themselves. Understanding context is crucial for interpreting results accurately.

• Relationships: DAX leverages relationships between tables in the data model to navigate and reference data from different tables within calculations.

4. Examples:

• Calculate average sales per month: Average Sales Per Month = AVERAGE([Sales Amount])

• Find the customer with the highest total sales: Top Customer = CALCULATE(MAX([Sales Amount]), ALLEXCEPT([Customer]))

• Create a calculated column with profit margin: Profit Margin = ([Sales Amount] - [Cost]) / [Sales Amount]

Learning Resources:

• Microsoft DAX Function Reference: https://learn.microsoft.com/en-us/dax/dax-function-reference

• Power BI DAX Tutorial: https://learn.microsoft.com/en-us/training/paths/dax-power-bi/

• Guy in a Cube Power BI DAX Videos: https://www.youtube.com/channel/UCFp1vaKzpfvoGai0vE5VJ0w

Remember:

• Mastering DAX opens up a wide range of possibilities for complex calculations and data transformations in Power BI.

• Start with basic functions and concepts, gradually building your knowledge and comfort level.

• Utilize resources and practice to experiment and explore the powerful capabilities of DAX for impactful data analysis.

I hope this provides a good overview of how Power BI DAX works. Feel free to ask if you have any further questions or need help with specific DAX expressions!

What is Ballerina Programming language , who developed and when, Example Code hello world and addition of 2 numbers program

What is Ballerina Programming language

Ballerina is an exciting newcomer to the programming world! Launched in 2022, it's an open-source, cloud-native programming language aiming to revolutionize how we build applications for the modern era. Here's a breakdown of its key features:

Focus on integration: Ballerina shines in connecting different systems and services. It provides built-in support for diverse data formats (JSON, XML, etc.), network protocols (HTTP, gRPC, etc.), and connectors, simplifying integrations compared to generic languages.

Modern and versatile: Despite its integration focus, Ballerina is a general-purpose language capable of building various applications. It has a familiar syntax reminiscent of C-family languages and offers powerful features like concurrency, error handling, and security.

Built for the cloud: Ballerina embraces cloud-native principles. It excels at building microservices and APIs, leveraging features like containerization and distributed transactions.

Easy to learn and use: Ballerina boasts a simple and elegant syntax that's easy to pick up for programmers familiar with other languages. It also offers a unique graphical representation of code in the form of sequence diagrams, aiding visualization and understanding.

Open-source and community-driven: Ballerina is an open-source project with a growing community. This ensures continuous development, extensive documentation, and readily available support.

Here are some specific areas where Ballerina shines:

• API development: Building and consuming RESTful APIs and other web services.

• Microservices architecture: Creating efficient and scalable microservices with built-in integration capabilities.

• Data integration: Connecting diverse data sources and platforms effortlessly.

• Event-driven systems: Processing real-time data streams and responding to events effectively.

If you're looking for a modern, versatile language to build cloud-native applications and simplify integrations, Ballerina is definitely worth checking out. Its ease of use, powerful features, and growing community make it a promising force in the programming landscape.

Feel free to ask any further questions you might have about Ballerina! I'm happy to share my knowledge and resources.

Here's a comprehensive overview of the Ballerina programming language:

Key Characteristics:

• Open-source: Freely available for use and contribution.

• Cloud-native: Designed for building applications in cloud environments.

• Integration-focused: Optimized for creating integrations between systems and services.

• Type-safe: Ensures code reliability and prevents errors at compile time.

• Concurrent: Supports efficient handling of multiple tasks simultaneously.