I can certainly provide you with the top 10 AWS Kinesis interview questions and answers, drawing upon my knowledge of AWS and other cloud services. Here they are:
- What is Amazon Kinesis and what are its main components?
Answer: Amazon Kinesis is a fully managed, real-time data streaming service provided by AWS. It allows users to ingest, process, and analyze large volumes of data in real-time. The main components of Kinesis are Kinesis Data Streams, Kinesis Data Firehose, Kinesis Data Analytics, and Kinesis Video Streams.
- How does Kinesis Data Streams differ from Kinesis Data Firehose?
Answer: Kinesis Data Streams is a low-latency, highly scalable service for collecting and processing real-time data. It allows users to build custom applications using Kinesis Client Library (KCL) to process data. Kinesis Data Firehose, on the other hand, focuses on delivering streaming data to specified destinations such as Amazon S3, Redshift, or Elasticsearch Service without requiring any custom application development.
- What are the key features of Amazon Kinesis Data Analytics?
Answer: Amazon Kinesis Data Analytics enables users to analyze real-time data using SQL or Apache Flink. Key features include real-time data processing, built-in machine learning capabilities, scalability, and integration with other AWS services.
- How do you partition data in Kinesis Data Streams?
Answer: Data in Kinesis Data Streams is partitioned into shards. Each shard can handle up to 1 MB/sec data input or 1,000 records/sec and up to 2 MB/sec data output. You can partition data using a partition key, which determines the shard that a particular data record is assigned to.
- How does Amazon Kinesis ensure data durability?
Answer: Kinesis ensures data durability by automatically replicating data across multiple Availability Zones within the same region. This prevents data loss in the event of hardware failures or other issues in a single Availability Zone.
- What is the Kinesis Client Library (KCL)?
Answer: The Kinesis Client Library (KCL) is a set of pre-built libraries that simplify the process of building applications that process data from Kinesis Data Streams. KCL manages load balancing, checkpointing, and error handling, making it easier to focus on the core application logic.
- Can you explain the role of Amazon Kinesis Data Firehose data transformation?
Answer: Kinesis Data Firehose allows you to perform data transformation using AWS Lambda before the data is delivered to its destination. This enables users to modify, filter, or enrich the data as it flows through the pipeline.
- What is the Amazon Kinesis Producer Library (KPL)?
Answer: The Kinesis Producer Library (KPL) is a set of client libraries that help developers efficiently write data to Kinesis Data Streams. KPL simplifies the process of aggregating and compressing records, ensuring optimal throughput and minimizing the number of API calls.
- How can you monitor the performance of Amazon Kinesis services?
Answer: You can monitor the performance of Kinesis services using Amazon CloudWatch. CloudWatch provides metrics for Kinesis Data Streams, Data Firehose, and Data Analytics, allowing you to track throughput, latency, and other performance indicators.
- How does Amazon Kinesis handle data encryption?
Answer: Amazon Kinesis provides server-side encryption for data at rest using AWS Key Management Service (KMS) keys. For data in transit, Kinesis services use SSL/TLS encryption to ensure secure data transmission between the service and your applications.
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