Power BI and Excel Connectors Quiz

The 'Folder' connector in Power Query allows you to connect to a folder containing data files, such as spreadsheets or CSV files.

The 'Excel Workbook' connector is used to import data directly from an Excel file into Power Query.

Connecting to an Excel workbook from Power Query Desktop allows you to load and refresh data from the workbook.

Refreshing data allows you to update data from an external source, ensuring your Power BI dashboards are up-to-date.

The 'Combine' option in the 'Folder' connector lets you merge data from multiple files within a folder into a single dataset.

A Power BI dataset can hold data from multiple data sources, allowing you to combine data from different locations.

A data source is the original location of your data, like a SharePoint folder, Excel file, or database.

When connecting to a SharePoint folder in Power BI, you establish a direct connection to the files within the folder and its subfolders, making the data accessible for analysis.

Data lineage refers to the path or process by which data travels from its source to its destination in a Power BI workspace. This can be useful for understanding how data is transformed and connected.

If you have an existing Power BI dataset that already contains the data from a SharePoint folder, you can reuse it instead of creating a new connection each time.

When connecting to a SharePoint folder, the file information for all files within the folder and its subfolders is displayed in Power BI, granting access to a wide range of data.

In Power BI, the user needs to authenticate through a process that typically requires entering credentials to connect to a data source.

A 'custom view' in the context of exams refers to a specific section or viewpoint on a topic, like a section focusing on Power BI data sources.

The process of combining data from two or more queries, adding new columns based on shared relationships. For example, incorporating data from "Products" and "Categories" into a single "Product" table.

A method used to combine data from two or more queries by adding new rows to an existing query. This is helpful when you have additional data for the same table but with different values.

A way to prevent a query from loading into Power BI Desktop. This can be useful when you want to hide intermediate steps used to transform your data, like when merging queries.

The primary key in the "Products" table, representing a unique identification number for each product.

The primary key in the "Categories" table, representing a unique identification number for each product category.

The column containing the name of each product, as found in the "Products" table.

The column containing the unique identifier for the supplier providing the product, found in the "Products" table.

The column containing a reference to the product's category, found in the "Products" table.

A sequence of characters, like 'hello' or '123'. It's a fundamental data type used in many programming languages, particularly in data analysis.

A tool used for data cleaning and preparation. It allows you to transform data and make it ready for analysis.

A feature in Power Query that lets you examine the characteristics and distribution of data within a column.

To determine the number of characters in a string, you can use the 'LENGTH' function in Power Query. It returns a number representing the length of the string.

Analyzing the length of string values can reveal patterns and insights, such as understanding if data is consistent in terms of format or identifying potential errors caused by varying lengths.

You can analyze characteristics of a column, including length distribution, directly within Power Query using the Column Profile feature. It's an efficient way to examine the data without using DAX calculations.

DAX is a powerful language used for creating calculations within Power BI, but it might be more suitable for creating measures or visual representations.

When analyzing string lengths, the goal is to understand the data itself, not just to create a visual representation or report. Therefore, using Power Query's direct analysis tools is more appropriate than DAX.

A type of database schema where facts are stored in a central fact table and dimensions are related to this central table. It simplifies data analysis and improves query performance.

A data analysis technique that focuses on comparing values across different time periods, such as comparing sales from the current month to the same month last year.

A Power BI function that calculates a measure based on a specified date range, allowing for comparisons across different time periods.

A Power BI function similar to SAMEPERIODLASTYEAR() but allows for shifting the date range by a specific interval, such as a quarter or month.

A Power BI measure that calculates the total sales for the current month.

The Subject and Body columns are not needed in the Power BI report, so removing them minimizes the data and addresses the security issue.

Row Level Security (RLS) in Power BI ensures that users can only see data relevant to their roles or permissions. In this case, it ensures report recipients only see emails they themselves sent.

The 'Cost Center' column is used as the row label in the Excel table, making it easier to identify and manage data related to the cost center.

The 'ID' column serves as the unique identifier for each row in the Power BI dataset. This enables Excel to link cells to specific rows effectively.

Enabling 'Yes' for the Data Types Gallery in Excel allows users to easily find and use data from featured Power BI tables.

Organizational data types in Excel let you integrate data from external sources, such as Power BI datasets, into your Excel spreadsheets.

The Data Selector pane in Excel allows users to choose the specific row or item from the linked Power BI table directly within Excel.

The Information card in Excel provides details about the selected row or item from the linked Power BI table. This card shows the data content related to the selected row.