JMX metrics in Kafka - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to specify the JMX port for Kafka broker.

Kafka

KAFKA_JMX_OPTS="-Dcom.sun.management.jmxremote.port=[1]"

Drag options to blanks, or click blank then click option'

A9999

B9092

C2181

D8080

Attempts:

3 left

💡 Hint

Common Mistakes

Using Kafka broker port 9092 as JMX port.

Using Zookeeper port 2181 as JMX port.

The default JMX port for Kafka metrics is often set to 9999 to avoid conflicts.

2fill in blank

medium

Complete the code to enable JMX remote access without authentication.

Kafka

KAFKA_JMX_OPTS="$KAFKA_JMX_OPTS -Dcom.sun.management.jmxremote.authenticate=[1]"

Drag options to blanks, or click blank then click option'

Ano

Byes

Ctrue

Dfalse

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'no' or 'yes' instead of boolean false or true.

Setting authentication to true when trying to disable it.

Setting com.sun.management.jmxremote.authenticate to false disables authentication for JMX remote access.

3fill in blank

hard

Fix the error in the JMX options to enable SSL for JMX remote connections.

Kafka

KAFKA_JMX_OPTS="$KAFKA_JMX_OPTS -Dcom.sun.management.jmxremote.ssl=[1]"

Drag options to blanks, or click blank then click option'

Atrue

Benable

Con

Dyes

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'enable' or 'yes' instead of true.

Using uppercase True which may cause issues.

The property com.sun.management.jmxremote.ssl expects a boolean value like true or false to enable or disable SSL.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that collects JMX metrics for topics with names longer than 5 characters.

Kafka

metrics = {topic: metrics_data[topic][1] for topic in topics if len(topic) [2] 5}

Drag options to blanks, or click blank then click option'

A["message_count"]

B>

C<

D['bytes_in']

Attempts:

3 left

💡 Hint

Common Mistakes

Using parentheses instead of square brackets for dictionary keys.

Using less than '<' instead of greater than '>' in condition.

The comprehension collects the 'message_count' metric for topics whose name length is greater than 5.

5fill in blank

hard

Fill all three blanks to filter and transform JMX metrics into a new dictionary with uppercase topic names and only metrics with values above 100.

Kafka

filtered_metrics = [1]: metrics_data[topic] for topic in topics if metrics_data[topic][[2]] [3] 100

Drag options to blanks, or click blank then click option'

Atopic.upper()

B'message_count'

C>

D'bytes_in'

Attempts:

3 left

💡 Hint

Common Mistakes

Using lowercase topic names instead of uppercase.

Filtering on 'bytes_in' instead of 'message_count'.

Using '<' instead of '>' in the condition.

This comprehension creates a dictionary with uppercase topic names as keys and filters metrics where 'message_count' is greater than 100.