Exam PL-300 topic 3 question 38 discussion

Answer is A The decomposition tree visual in Power BI lets you visualize data across multiple dimensions. It automatically aggregates data and enables drilling down into your dimensions in any order. The key influencers visual helps you understand the factors that drive a metric you're interested in. It analyzes your data, ranks the factors that matter, and displays them as key influencers. *Key influencers does not visualize data across dimensions*

If we need to minimize the analysis effort then key influencers is the answer (Explain Bounce Rate by dimensions listed). Decomposition tree requires more effort; as per microsoft: "This tool is valuable for ad hoc exploration and conducting root cause analysis."

You want to dynamically identify customer segments based on bounce rate, across multiple dimensions (source, geo, demographics), with little effort. This is exactly what the Key Influencers visual is designed to do.

Option D, checked with Chatgpt and Gemini.(both selected D with similar explanation)

Decomposition Tree requires manual exploration, not ideal if we're looking for automated insights

he Key Influencers visual in Power BI automatically analyzes your data to determine which factors are most influential in driving a particular outcome—in this case, the Bounce Rate. By adding dimensions like source, geography, and demographics to the Explain By field, the visual segments your customers dynamically based on their Bounce Rate. This minimizes manual analysis effort because the visual leverages built‑in machine learning to uncover the key drivers behind variations in Bounce Rate.

Key Influencers helps us identify dimentions that drive a certain metric. The tree is a fit for drilling down hierachies

solution must minimize analysis effort. Key Influencers simply drag your metric (e.g., Bounce Rate) and relevant fields (e.g., source, geography, demographics) into the visualization, and Power BI will take care of identifying key drivers. For Decomposition tree, it takes more effort where you need to set up the drill-down path (which dimensions to decompose the metric by) and explore the data step-by-step. You may need to adjust the decomposition if the initial breakdown doesn’t give you the exact insight you're looking for, so Answer is D Key influencers automatically analyzes your data and identifies which factors (dimensions, fields) most influence your metric (e.g., Bounce Rate)

With decomposition Tree visual you can choose dimensions to break down the customer segments by any of the mentioned fields

Minimize Analysis Effort- Key Influencer is the answer

A - Decomposition Tree

Because of the term "dynamically", I choose A - Decomposition Tree here. But I am not 100% sure.

A is the right answer

A - Decomposition Tree

https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-types-for-reports-and-q-and-a As said on website under Decomposition tree : "The decomposition tree visual lets you visualize data across multiple dimensions."

Analyze dynamically with minimal analysis effort => Key Influencers

The Key Influencers visual also has the option to show top segments. These will show which selections are made in the elements of the different attributes in the analyze by well.