Free Access Google.Professional-Data-Engineer.v2025-09-04.q126 Practice Test (Page 11)

Question 46

When you store data in Cloud Bigtable, what is the recommended minimum amount of stored data?

A.500 TB

B.1 GB

C.1 TB

D.500 GB

Question 47

You want to use Google Stackdriver Logging to monitor Google BigQuery usage. You need an instant notification to be sent to your monitoring tool when new data is appended to a certain table using an insert job, but you do not want to receive notifications for other tables. What should you do?

A.Using the Stackdriver API, create a project sink with advanced log filter to export to Pub/Sub, and subscribe to the topic from your monitoring tool.

B.In the Stackdriver logging admin interface, and enable a log sink export to BigQuery.

C.Make a call to the Stackdriver API to list all logs, and apply an advanced filter.

D.In the Stackdriver logging admin interface, enable a log sink export to Google Cloud Pub/Sub, and subscribe to the topic from your monitoring tool.

Question 48

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.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

B.Use a larger instance type for your Cloud Dataflow workers

C.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

D.Increase the number of max workers

E.Change the zone of your Cloud Dataflow pipeline to run in us-central1

Question 49

Which methods can be used to reduce the number of rows processed by BigQuery?

A.Splitting tables into multiple tables; putting data in partitions

B.Splitting tables into multiple tables; putting data in partitions; using the LIMIT clause

C.Putting data in partitions; using the LIMIT clause

D.Splitting tables into multiple tables; using the LIMIT clause

Question 50

Which Java SDK class can you use to run your Dataflow programs locally?

A.LocalRunner

B.DirectPipelineRunner

C.MachineRunner

D.LocalPipelineRunner

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Question 46

Question 47

Question 48

Question 49

Question 50

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