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You are designing a data mesh on Google Cloud by using Dataplex to manage data in BigQuery and Cloud Storage. You want to simplify data asset permissions. You are creating a customer virtual lake with two user groups: * Data engineers, which require lull data lake access * Analytic users, which require access to curated data You need to assign access rights to these two groups. What should you do?
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Question 142 - Professional Data Engineer discussion

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Your analytics team wants to build a simple statistical model to determine which customers are most likely to work with your company again, based on a few different metrics. They want to run the model on Apache Spark, using data housed in Google Cloud Storage, and you have recommended using Google Cloud Dataproc to execute this job. Testing has shown that this workload can run in approximately 30 minutes on a 15-node cluster, outputting the results into Google

BigQuery. The plan is to run this workload weekly. How should you optimize the cluster for cost?

A.
Migrate the workload to Google Cloud Dataflow
Answers
A.
Migrate the workload to Google Cloud Dataflow
B.
Use pre-emptible virtual machines (VMs) for the cluster
Answers
B.
Use pre-emptible virtual machines (VMs) for the cluster
C.
Use a higher-memory node so that the job runs faster
Answers
C.
Use a higher-memory node so that the job runs faster
D.
Use SSDs on the worker nodes so that the job can run faster
Answers
D.
Use SSDs on the worker nodes so that the job can run faster
Suggested answer: A
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asked 18/09/2024
Yener Yuksel
39 questions
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