Describe Pravega and Its Storage Architecture DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   How does Pravega ensure ordered reads within a segment?

   • ABy using a distributed lock to serialize all reads.
   • BBy allowing readers to specify a sort key for each read request.
   • CBy maintaining a monotonically increasing sequence number for each event.
   • DBy assigning each event a unique timestamp and sorting reads by that timestamp.
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   In the context of processing streaming and IoT data, what is Pravega primarily used for?

   • AProviding a SQL interface for querying historical IoT data.
   • BOrchestrating containerized microservices that process IoT events.
   • CStoring and serving continuous data streams for real-time and batch consumption.
   • DTransforming and enriching streaming data using user-defined functions.
   Reveal Solution Discussion Select an answer first
4. 8expert · medium

   A company uses Pravega to stream IoT data from sensors. They have a Flink job that aggregates data by sensor type. The stream currently has 10 segments, and the Flink job has a parallelism of 4. They observe that the job's throughput is lower than expected. What is the most likely cause?

   • AThe Flink job is using event-time processing, which introduces watermarking delays.
   • BThe durable tier is too slow, causing reads to be slow.
   • CThe stream's retention policy is too short, causing data to be deleted before processing.
   • DThe Flink job's parallelism is lower than the number of segments, so some segments are not being read.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   What benefit does Pravega's integration with Flink provide for real-time data processing?

   • AExactly-once processing semantics for streaming applications.
   • BGuaranteed zero latency for all data processing.
   • CElimination of the need for any storage system in the pipeline.
   • DAutomatic conversion of streaming data into batch files for offline analysis.
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   How does Pravega integrate with Apache Flink?

   • ABy embedding Flink inside Pravega's storage nodes.
   • BBy using Flink's SQL engine to query Pravega's internal metadata.
   • CThrough a connector that allows Flink to read from and write to Pravega streams.
   • DBy converting Pravega streams into Kafka topics for Flink to consume.
   Reveal Solution Discussion Select an answer first