AWS MSK Scenario based Questions ❓
❓Your application requires a high-throughput data stream processing capability. How can you use AWS MSK to handle this requirement?
Answer: Set up an AWS MSK cluster and use Kafka producers to send data to Kafka topics. Use Kafka consumers to process data from these topics in real-time.
❓You need to integrate your existing Apache Kafka setup with AWS services. How can AWS MSK facilitate this integration?
Answer: Migrate your existing Kafka setup to AWS MSK to leverage seamless integration with AWS services like Lambda, S3, Redshift, and Kinesis Data Analytics.
❓Your team wants to ensure that all Kafka data is encrypted both in transit and at rest. How can you configure AWS MSK to meet this security requirement?
Answer: Enable encryption at rest using AWS KMS and configure encryption in transit using TLS for your AWS MSK cluster.
❓Your application needs to process data with low latency. How can AWS MSK help achieve low-latency data processing?
Answer: AWS MSK provides high-throughput and low-latency streaming capabilities by optimizing the Kafka cluster performance, which can be further enhanced by selecting appropriate instance types and storage configurations.
❓Your company requires monitoring and alerting on Kafka cluster health and performance. What AWS tools can you use with AWS MSK to achieve this?
Answer: Use Amazon CloudWatch to monitor AWS MSK cluster metrics and set up CloudWatch Alarms for alerting on specific performance and health indicators.
❓You need to scale your Kafka cluster to handle increased load during peak times. How can AWS MSK assist with this requirement?
Answer: AWS MSK allows you to scale your Kafka cluster by adding more brokers and adjusting the storage capacity as needed to handle increased load.
❓Your application must maintain high availability for the Kafka cluster across multiple availability zones. How can AWS MSK be configured for high availability?
Answer: Deploy your AWS MSK cluster across multiple availability zones to ensure high availability and fault tolerance.
❓You need to migrate your on-premises Kafka cluster to AWS MSK with minimal downtime. What steps can you take to perform this migration?
Answer: Use the AWS MSK migration tool to replicate data from your on-premises Kafka cluster to AWS MSK, ensuring minimal downtime during the migration process.
❓Your Kafka consumers are experiencing high lag. What strategies can you use to reduce consumer lag in AWS MSK?
Answer: Optimize consumer configuration, increase the number of partitions in the Kafka topic, scale out consumer instances, and ensure consumers are reading from the nearest replicas.
❓ You want to implement fine-grained access control for different Kafka topics in your AWS MSK cluster. How can you achieve this?
Answer: Use AWS IAM policies to control access to the AWS MSK cluster and configure Kafka ACLs (Access Control Lists) to manage permissions for specific Kafka topics.
❓ Your application requires processing of streaming data with event-driven architectures. How can you integrate AWS MSK with AWS Lambda to process Kafka events?
Answer: Use AWS Lambda with the AWSLambdaKafkaEventSource library to create Lambda functions that consume and process events from Kafka topics in your AWS MSK cluster.
❓ You need to troubleshoot issues in your Kafka cluster by analysing logs. How can you access Kafka broker logs in AWS MSK?
Answer: Configure AWS MSK to send broker logs to Amazon CloudWatch Logs or an S3 bucket for analysis and troubleshooting.
❓ Your team needs to ensure compliance with data retention policies for Kafka topics. How can you configure AWS MSK to meet these requirements?
Answer: Set topic-level data retention policies in AWS MSK by configuring the retention.ms and retention. Bytes parameters for your Kafka topics.
❓ Your application has bursty workloads with periods of high and low traffic. How can you optimize cost and performance for AWS MSK under such conditions?
Answer: Use auto-scaling features to adjust the number of brokers and storage capacity dynamically based on workload requirements to optimize cost and performance.
❓ You need to implement data replication across Kafka clusters in different AWS regions for disaster recovery. How can AWS MSK help you achieve cross-region replication?
Answer: Use Mirror Maker 2.0 to set up cross-region replication between Kafka clusters in different AWS regions to ensure data availability and disaster recovery.
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