The correct options are Pie Chart and Issue Statistics.

Pie Chart displays the issues returned by a saved filter as slices where each slice represents a group and its proportion of the total, so it is the straightforward gadget for showing percentage breakdowns visually.

Issue Statistics groups the issues from a saved filter by a chosen field and reports the counts per group, which can be interpreted as each groups share of the total and used to present a percentage view on a dashboard.

Heat Map is incorrect because it visualizes density or activity patterns and not a simple percentage breakdown of issues by assignee or other single field.

Two Dimensional Filter Statistics is incorrect because it produces a matrix of counts across two fields for cross tabulation rather than a single percentage breakdown by one field.

Filter Results is incorrect because it lists individual issues returned by a filter and does not aggregate those issues into percentage slices.

Bubble Chart is incorrect because it shows relative volumes as bubble sizes for comparison and it does not provide the clear percentage slice view that a pie chart or grouped issue statistics deliver.

Full AWS Practitioner Certification Question