H19-435_V1.0 · Question #23
Which of the following options does not belong to the GaussDB database features?
The correct answer is C. Support stream processing features. Option C is the correct answer because stream processing is not a native feature of GaussDB - that capability belongs to dedicated streaming engines like Apache Flink or Kafka Streams. GaussDB is a relational database optimized for OLTP/OLAP workloads, not real-time stream…
Question
Which of the following options does not belong to the GaussDB database features?
Options
- AHigh scalability, strong consistency of distribution, TPCC expansion ratio > 0.8
- BHigh availability, fault switching time < 10s, and support flashback
- CSupport stream processing features
- DHigh performance, based on the Kunpeng 920 processor, the performance of a single machine
How the community answered
(21 responses)- C95% (20)
- D5% (1)
Explanation
Option C is the correct answer because stream processing is not a native feature of GaussDB - that capability belongs to dedicated streaming engines like Apache Flink or Kafka Streams. GaussDB is a relational database optimized for OLTP/OLAP workloads, not real-time stream computation.
Why the distractors are wrong (i.e., they DO belong to GaussDB):
- A is a genuine GaussDB feature: it uses distributed architecture with strong consistency guarantees, and its TPCC scale-out ratio exceeding 0.8 is a documented benchmark claim.
- B is accurate: GaussDB targets high availability with sub-10-second failover and supports flashback queries for point-in-time data recovery.
- D is accurate: GaussDB's single-node performance is specifically optimized for Huawei's Kunpeng 920 ARM-based processor, which is a core part of its marketing.
Memory tip: Think of GaussDB as a storage and query database - it scales out, stays consistent, recovers fast, and runs fast on Kunpeng hardware. The moment you see "stream processing," that's a pipeline/event concern (Flink, Spark Streaming) - a different tool family entirely. If the answer involves real-time data flowing through, it's not GaussDB.
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