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Exam Professional Data Engineer topic 1 question 121 discussion

Actual exam question from Google's Professional Data Engineer
Question #: 121
Topic #: 1
[All Professional Data Engineer Questions]

You currently have a single on-premises Kafka cluster in a data center in the us-east region that is responsible for ingesting messages from IoT devices globally.
Because large parts of globe have poor internet connectivity, messages sometimes batch at the edge, come in all at once, and cause a spike in load on your
Kafka cluster. This is becoming difficult to manage and prohibitively expensive. What is the Google-recommended cloud native architecture for this scenario?

  • A. Edge TPUs as sensor devices for storing and transmitting the messages.
  • B. Cloud Dataflow connected to the Kafka cluster to scale the processing of incoming messages.
  • C. An IoT gateway connected to Cloud Pub/Sub, with Cloud Dataflow to read and process the messages from Cloud Pub/Sub.
  • D. A Kafka cluster virtualized on Compute Engine in us-east with Cloud Load Balancing to connect to the devices around the world.
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
by [deleted] at March 22, 2020, 11:22 a.m.

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Highly Voted 3 years, 7 months ago
Should be C
upvoted 21 times
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[Removed]
Highly Voted 3 years, 7 months ago
Answer: C Description: Pubsub is global and dataflow can scale workers
upvoted 19 times
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ga8our
Most Recent 5 months ago
Can anyone pls explain what's wrong with D, the load balancing solution?
upvoted 1 times
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musumusu
8 months, 1 week ago
Answer C: What is wrong with D, nothing, Cloud load balancing can shift traffic for high volume and low internet in one region. It cost avg. 0.01-0.25 $ per GB, or if volume is too high. 0.05 $ per Hour http request. This might be the answer if your exam for network engineer.
upvoted 2 times
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musumusu
8 months, 2 weeks ago
Answer C, but it will not solve bad internet connection, make sure 100mbps speed of internet is at sensor side.
upvoted 1 times
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zellck
10 months, 4 weeks ago
Selected Answer: C
C is the answer. https://cloud.google.com/architecture/iot-overview#cloud-pubsub Pub/Sub can act like a shock absorber and rate leveller for both incoming data streams and application architecture changes. Many devices have limited ability to store and retry sending telemetry data. Pub/Sub scales to handle data spikes that can occur when swarms of devices respond to events in the physical world, and buffers these spikes to help isolate them from applications monitoring the data.
upvoted 10 times
AzureDP900
10 months ago
Agree with your explanation
upvoted 1 times
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MisuLava
12 months ago
"single on-premises Kafka cluster in a data center in the us-east region" is it on-prem or in a datacenter in us-east ?
upvoted 1 times
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JamesKarianis
1 year, 3 months ago
Selected Answer: C
Answer is C
upvoted 1 times
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Prasanna_kumar
1 year, 8 months ago
Answer is option C
upvoted 1 times
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ivanhsiav
2 years, 3 months ago
Answer c kafka cluster in on-premise for streaming msgs pub/sub for streaming msgs in cloud
upvoted 4 times
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sumanshu
2 years, 3 months ago
Vote for C
upvoted 4 times
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Allan222
2 years, 8 months ago
Should be C
upvoted 4 times
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daghayeghi
2 years, 8 months ago
C is correct: the main trick come from A, and response is that TPU only use when we have a deployed machine learning model that we don't have now.
upvoted 5 times
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ArunSingh1028
2 years, 8 months ago
Answer - C
upvoted 4 times
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Alasmindas
2 years, 11 months ago
Easy Question : ANswer is Option C. Alterative to Kafka in google cloud native service is Pub/Sub and Dataflow punched with Pub/Sub is the google recommended option
upvoted 5 times
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atnafu2020
3 years, 2 months ago
C the issue is with a single Kafka cluster is the need to scale automatically with Dataflow
upvoted 4 times
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haroldbenites
3 years, 2 months ago
C is correct
upvoted 4 times
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