CCDAK Exam Question 101
In Kafka, what are Topics split into?
CCDAK Exam Question 102
You create a producer that writes messages about bank account transactions from tens of thousands of different customers into a topic.
* Your consumers must process these messages with low latency and minimize consumer lag
* Processing takes ~6x longer than producing
* Transactions for each bank account must be processedin orderWhich strategy should you use?
* Your consumers must process these messages with low latency and minimize consumer lag
* Processing takes ~6x longer than producing
* Transactions for each bank account must be processedin orderWhich strategy should you use?
CCDAK Exam Question 103
Refer to the producer code below. It features a 'Callback' class with a method called 'onCompletion()'. When will the 'onCompletion()' method be Invoked?
producer.send(record, new MyCallback(record));
producer.send(record, new MyCallback(record));
CCDAK Exam Question 104
How will you read all the messages from a topic in your KSQL query?
CCDAK Exam Question 105
A customer has many consumer applications that process messages from a Kafka topic. Each consumer application can only process 50 MB/s. Your customer wants to achieve a target throughput of 1 GB/s. What is the minimum number of partitions will you suggest to the customer for that particular topic?