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A developer is working for a company with internal best practices that dictate that there is no single point of failure for all data stored.
What is the best approach to make sure the developer is complying with this best practice when creating Kafka topics?
See the explanation below.
Replication factor determines how many copies of each partition exist across different brokers. A replication factor of 3 ensures that even if one or two brokers fail, the data is still available, thus eliminating a single point of failure.
Where are Apache Kafka Access Control Lists stored'?
See the explanation below.
In Apache Kafka (open-source), Access Control Lists (ACLs) are stored in ZooKeeper. Kafka brokers retrieve and enforce ACLs from ZooKeeper at runtime.
What are important factors in sizing a ksqlDB cluster? (Choose three.)
See the explanation below.
The complexity of the schema (number of fields, data types, etc.) affects processing and memory usage.
Each ksqlDB persistent query consumes resources (CPU, memory), so more queries require more capacity.
More partitions increase parallelism, but also resource usage, especially in scaling and state management.
Why does Kafka use ZooKeeper? (Choose two.)
See the explanation below.
ZooKeeper stores metadata such as partition leadership and ISR (in-sync replicas), which brokers use to coordinate.
Kafka uses ZooKeeper to perform leader election for the Controller broker, which manages cluster metadata and leadership changes.
Kafka broker supports which Simple Authentication and Security Layer (SASL) mechanisms for authentication? (Choose three.)
See the explanation below.
SASL/PLAIN -- A simple username/password mechanism supported by Kafka.
SASL/GSSAPI (Kerberos) -- Kafka supports Kerberos authentication through the GSSAPI mechanism.
SASL/OAUTHBEARER -- Kafka supports OAUTHBEARER for token-based authentication.
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