To allow a Viewer to share a Warehouse while following the Principle of Least Privilege, you should assign the user the Member role.
The Member role is the lowest-level workspace role that includes the permission to share items (including Warehouses).
Permission to Share: Unlike Viewers or Contributors, Members can share items and manage permissions for those items.
Restricted Control: Members cannot delete the workspace, change its settings, or manage the roles of Admins/Members (unlike the Admin role).
Infrastructure Isolation: It provides the necessary administrative authority over content without giving full "owner" rights to the entire workspace environment.
Reference:
https://www.linkedin.com/pulse/understanding-role-based-access-control-rbac-fabric-abiola- uw8oe

The Python code and output shown in the exhibit display a histogram, which is a representation of the distribution of data. This kind of analysis is descriptive analytics, which is used to describe or summarize the features of a dataset. Descriptive analytics answers the question of "what has happened" by providing insight into past data through tools such as mean, median, mode, standard deviation, and graphical representations like histograms.
References: Descriptive analytics and the use of histograms as a way to visualize data distribution are basic concepts in data analysis, often covered in introductory analytics and Python programming resources.

Explanation:

Supports complex calculated columns (with aggregate functions, calculated tables, MDX hierarchies).
Minimizes page rendering times .
Step 1 - Choosing the Mode
Direct Lake # Best for near real-time queries, avoids duplication, but has limitations (e.g., some complex calculated columns, MDX user hierarchies are not fully supported).
DirectQuery # Sends queries to the source each time. It supports complex expressions but is slow (not optimal for minimizing page rendering times).
Import # Data is loaded into VertiPaq in-memory engine, supports full DAX capabilities, calculated tables, MDX hierarchies, and provides fastest query performance .
# Correct choice: Import .
Step 2 - Choosing Query Caching
Capacity default # Relies on the workspace/capacity setting.
Off # Disables caching, which could slow down report rendering.
On # Ensures queries are cached for faster page rendering times.
# Correct choice: On .
Mode: Import
Query Caching: On
References:
Semantic model storage modes in Fabric
Query caching in Power BI / Fabric

Requirement: "The number of rows added to the Orders table during refreshes must be minimized." The Orders table has a sequential OrderID.
To minimize refresh size, you must only import new rows, not the entire table.
This requires retrieving the maximum OrderID currently loaded, then only loading rows with a greater OrderID.
So, the correct solution is to use a pipeline (ADF) with a dataflow to retrieve the maximum OrderID.
The answer: C. an Azure Data Factory pipeline that executes a dataflow to retrieve the maximum value of
the OrderID column in the destination lakehouse

Explanation:

In Microsoft Fabric, the OneLake endpoint allows users with appropriate permissions to read data from a lakehouse, leveraging the unified data storage system. Since DBUser has been granted access to Lakehouse1, they can utilize the OneLake endpoint for reading data. For querying, the OneLake file explorer provides a user interface to interact with and query data within the lakehouse, aligning with DBUser ' s access rights without requiring broader tenant permissions.