R Programming Language Certification Communication & Stakeholder Relations 4

Question 1

A stakeholder wants the same report delivered as both a slide deck and a Word document. Which R Markdown output format supports multiple formats from one source file?

Accepted Answer

Multiple output: entries in the YAML header or separate render() calls with different formats

Answer

R Markdown's YAML header supports multiple output formats (e.g., powerpoint_presentation and word_document), or rmarkdown::render() can be called with different format arguments.

Question 2

A compliance officer asks for a documented record of every data transformation applied to a dataset. Which R approach best supports this requirement?

Accepted Answer

A dplyr pipeline documented in an R Markdown file with narrative explanations

Answer

A documented dplyr pipeline in R Markdown creates a human-readable audit trail where each transformation step is visible, versioned, and reproducible.

Question 3

Which ggplot2 function call adds a clear, descriptive title and axis labels to a plot before sharing with stakeholders?

Accepted Answer

labs(title = '...', x = '...', y = '...')

Answer

labs() is the unified ggplot2 function for setting title, subtitle, caption, and all axis labels in a single, readable call.

Question 4

A product team is skeptical of a machine learning model's predictions. What communication artifact would most effectively build trust with technical skeptics?

Accepted Answer

A detailed model card including training data description, performance metrics by subgroup, and known limitations

Answer

Model cards transparently document data sources, evaluation metrics, fairness considerations, and limitations, addressing technical stakeholders' core concerns.

Question 5

A Shiny dashboard is slow to respond when a stakeholder filters large data. Which optimization strategy should the analyst apply first?

Accepted Answer

Move expensive computations outside reactive() into reactive({}) with bindCache() or pre-aggregate data

Answer

Caching results with bindCache() or pre-aggregating data before the app runs avoids repeating expensive computations on every user interaction.

R Programming Language Certification Practice Test

R Programming Language Certification Practice Test

R Programming Language Certification Communication & Stakeholder Relations 4