public static List<Integer> matchingStrings(List<String> stringList, List<String> queries) {
// Write your code here
// Use a HashMap to store the frequency of each string in stringList
    Map<String, Integer> frequencyMap = new HashMap<>();

    // Count occurrences of each string in stringList
    for (String str : stringList) {
        frequencyMap.put(str, frequencyMap.getOrDefault(str, 0) + 1);
    }

    // Prepare the result list
    List<Integer> result = new ArrayList<>();

    // Retrieve frequency for each query
    for (String query : queries) {
        result.add(frequencyMap.getOrDefault(query, 0));
    }

    return result;
}

public static List<Integer> matchingStrings(List<String> stringList, List<String> queries) {
    List<Integer> results = new ArrayList<>(); 
    for (String query: queries) {
        results.add(Collections.frequency(stringList, query));
    }
    return results; 
}

}

Perl:

sub matchingStrings {
    my ($strings, $queries) = @_;
    
    my %h;
    my @res;
    foreach (@$strings) {
        $h{$_} +=1;
    }
    foreach my $el (@$queries) {
        if ($h{$el}) {
            push(@res, $h{$el});
        } else {
            push(@res, 0);
        }
        
    }    
    return @res;
}

vector matchingStrings(vector stringList, vector queries) {

unordered_map mymap; vector ans;

for( auto i : stringList){ mymap[i]++; }

for( auto i : queries){ ans.push_back(mymap[i]); }

return ans; }

This task is a great exercise in working with collections and efficiently handling data queries. matchbox 9 registration