There is a single connected Bayesian network (i.e., the nodes do not form multiple disjoint networks) made over 8 variables with the following properties:

• Each node has at least one parent or child node
• D is conditionally independent of B given C
• The Markov blanket of E is D & H
• The Markov blanket of F is G & C
• Node C has 2 parents

Additional connections are made between the nodes on the graph & now (below) it no longer represents the original network. For all of the above properties to be true, state only the necessary connections in the original Network:

\f