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PROFESSIONAL-DATA-ENGINEER-ON-GOOGLE-CLOUD-PLATFORM

Prepare for Professional Data Engineer on Google Cloud Platform with curated, exam-aligned practice questions, explanations, and a study plan focused on real-exam outcomes.

335
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50
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120m
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Maintaining and automating data workloadsmedium

24 votes · last validated recently

You are troubleshooting your Dataflow pipeline that processes data from Cloud Storage to BigQuery. You have discovered that the Dataflow worker nodes cannot communicate with one another. Your networking team relies on Google Cloud network tags to define firewall rules. You need to identify the issue while following Google-recommended networking security practices. What should you do?
A
Determine whether your Dataflow pipeline has a custom network tag set.
0%
B
Determine whether there is a firewall rule set to allow traffic on TCP ports 12345 and 12346 for the Dataflow network tag.
100%
C
Determine whether there is a firewall rule set to allow traffic on TCP ports 12345 and 12346 on the subnet used by Dataflow workers.
0%
D
Determine whether your Dataflow pipeline is deployed with the external IP address option enabled.
0%
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04 · coverage

Exam domains

Designing data processing systems22%
49 q
Ingesting and processing the data25%
84 q
Storing the data20%
73 q
Preparing and using data for analysis15%
81 q
Maintaining and automating data workloads18%
48 q
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335 questions

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