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."

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.

This question was on the exam today 9/12/2023

I vote for Key Influencers. This is strong powerful and use minimum effort.

ChatGPT: Key Influencers (option D) is a powerful visualization that helps identify patterns and factors that influence a specific measure. In this case, it will allow you to understand which dimensions (source, geography, demographics) have the most significant impact on the Bounce Rate. By analyzing key influencers, you can dynamically identify customer segments that have higher or lower Bounce Rates based on various dimensions. Using the Key Influencers visualization will minimize the analysis effort, as it will automatically identify the most influential dimensions impacting the Bounce Rate without the need for complex manual analysis. This will help you quickly pinpoint customer segments that require attention or further investigation.

for multimple dimessions

The question asks" Dynamically"... so, decomposition tree is more suitable.

A decomposition tree would be the most suitable visualization for this scenario. It allows you to dynamically segment and analyze the data based on different dimensions, such as source, geography, and demographics, while also providing insights into the factors that contribute to high bounce rates. With a decomposition tree, you can quickly identify the segments with the highest bounce rates and drill down into the underlying factors to understand the root cause of the issue, without requiring significant analysis effort. No confusion, and no need to discuss further