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Question 212 - Professional Data Engineer discussion

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You are running a pipeline in Cloud Dataflow that receives messages from a Cloud Pub/Sub topic and writes the results to a BigQuery dataset in the EU. Currently, your pipeline is located in europe-west4 and has a maximum of 3 workers, instance type n1-standard-1. You notice that during peak periods, your pipeline is struggling to process records in a timely fashion, when all 3 workers are at maximum CPU utilization. Which two actions can you take to increase performance of your pipeline? (Choose two.)

A.
Increase the number of max workers
Answers
A.
Increase the number of max workers
B.
Use a larger instance type for your Cloud Dataflow workers
Answers
B.
Use a larger instance type for your Cloud Dataflow workers
C.
Change the zone of your Cloud Dataflow pipeline to run in us-central1
Answers
C.
Change the zone of your Cloud Dataflow pipeline to run in us-central1
D.
Create a temporary table in Cloud Bigtable that will act as a buffer for new data. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery
Answers
D.
Create a temporary table in Cloud Bigtable that will act as a buffer for new data. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery
E.
Create a temporary table in Cloud Spanner that will act as a buffer for new data. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
Answers
E.
Create a temporary table in Cloud Spanner that will act as a buffer for new data. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
Suggested answer: A, B
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asked 18/09/2024
Reneus Martini
33 questions
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