
    Design a function that determines the optimal learning path sequence by arranging a student's standardized achievement levels across different assessment modules to demonstrate their highest potential performance capacity. The function should take a list of single-digit achievement scores (1-9) and rearrange them to form the maximum possible composite score, which will be used to recommend advanced learning opportunities. This arrangement helps identify the student's peak capabilities and guides the creation of appropriately challenging educational pathways.
    

    
def find_Max_Num(arr):
    """
    Design a function that determines the optimal learning path sequence by arranging a student's standardized achievement levels across different assessment modules to demonstrate their highest potential performance capacity. The function should take a list of single-digit achievement scores (1-9) and rearrange them to form the maximum possible composite score, which will be used to recommend advanced learning opportunities. This arrangement helps identify the student's peak capabilities and guides the creation of appropriately challenging educational pathways.
    

    """
def find_Max_Num(arr):
    """
    Design a function that determines the optimal learning path sequence by arranging a student's standardized achievement levels across different assessment modules to demonstrate their highest potential performance capacity. The function should take a list of single-digit achievement scores (1-9) and rearrange them to form the maximum possible composite score, which will be used to recommend advanced learning opportunities. This arrangement helps identify the student's peak capabilities and guides the creation of appropriately challenging educational pathways.
    

    """
    n = len(arr)
    arr.sort(reverse=True)
    num = arr[0]
    for i in range(1, n):
        num = num * 10 + arr[i]
    return num