What is an adequate topic configuration for the topic word-count-output?

StreamsBuilder builder = new StreamsBuilder();

KStream<String, String> textLines = builder.stream("word-count-input");

KTable<String, Long> wordCounts = textLines

.mapValues(textLine -> textLine.toLowerCase())

.flatMapValues(textLine -> Arrays.asList(textLine.split("W+")))

.selectKey((key, word) -> word)

.groupByKey()

.count(Materialized.as("Counts"));

wordCounts.toStream().to("word-count-output", Produced.with(Serdes.String(), Serdes.Long()));

builder.build();

What is an adequate topic configuration for the topic word-count-output?
A . max.message.bytes=10000000
B . cleanup.policy=delete
C . compression.type=lz4
D . cleanup.policy=compact

Answer: D

Explanation:

Result is aggregated into a table with key as the unique word and value its frequency. We have to enable log compaction for this topic to align the topic’s cleanup policy with KTable semantics.