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Confluent CCDAK Exam - Topic 1 Question 37 Discussion

Actual exam question for Confluent's CCDAK exam
Question #: 37
Topic #: 1
[All CCDAK Questions]

You are using JDBC source connector to copy data from a table to Kafka topic. There is one connector created with max.tasks equal to 2 deployed on a cluster of 3 workers. How many tasks are launched?

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Suggested Answer: C

JDBC connector allows one task per table.


by Myra at May 28, 2023, 12:42 AM

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Maybelle
4 months ago
I thought it would scale with workers, but I guess not!
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Wayne
4 months ago
Yup, definitely 2 tasks.
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Joaquin
4 months ago
Wait, why not 3? That seems odd.
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Cyril
4 months ago
Totally agree, max.tasks limits it!
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Dulce
4 months ago
Only 2 tasks will be launched.
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Odette
5 months ago
Wait, does the number of workers affect how many tasks are launched? I might be mixing that up with something else.
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Gearldine
5 months ago
I practiced a similar question, and I believe the answer is 2 because that's what max.tasks specifies.
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Lavonne
5 months ago
I’m not entirely sure, but I remember something about tasks being limited by the max.tasks value, not the number of workers.
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Allene
5 months ago
I think the max.tasks setting determines how many tasks can run, so it should be 2, right?
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Rex
5 months ago
Okay, let's see. The question is asking about objects that support the connection between PPM and PS. I'm guessing the PS profile and PS network are the two correct answers.
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Mozell
5 months ago
Hmm, this one looks tricky. The iRule is checking the local port, but the question says the user is connecting to port 22. I'll need to think this through carefully.
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Ula
5 months ago
Hmm, I'm a bit unsure about the correct order here. I'll need to carefully review the steps and think through the logical sequence.
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Joesph
5 months ago
I think I've seen this operation before, but I'm not totally sure which one is the correct answer. I'll need to review my notes to refresh my memory.
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Vicky
5 months ago
I'm not entirely sure, but I think I/O throttling might be the best answer here. That's when the system intentionally limits the I/O rate to prevent overloading, which could explain the high number of writes.
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