Free Access Google.Professional-Data-Engineer.v2022-02-11.q268 Practice Test (Page 32)

Question 151

What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

A.Sessions

B.OutputCriteria

C.Windows

D.Triggers

Question 152

Each analytics team in your organization is running BigQuery jobs in their own projects. You want to enable each team to monitor slot usage within their projects. What should you do?

A.Create a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes

B.Create a Stackdriver Monitoring dashboard based on the BigQuery metric slots/ allocated_for_project

C.Create a log export for each project, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric

D.Create an aggregated log export at the organization level, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric

Question 153

You are building a data pipeline on Google Cloud. You need to prepare data using a casual method for a machine-learning process. You want to support a logistic regression model. You also need to monitor and adjust for null values, which must remain real-valued and cannot be removed. What should you do?

A.Use Cloud Dataflow to find null values in sample source data. Convert all nulls to 'none' using a Cloud Dataprep job.

B.Use Cloud Dataprep to find null values in sample source data. Convert all nulls to 'none' using a Cloud Dataproc job.

C.Use Cloud Dataflow to find null values in sample source data. Convert all nulls to using a custom script.

D.Use Cloud Dataprep to find null values in sample source data. Convert all nulls to 0 using a Cloud Dataprep job.

Question 154

Business owners at your company have given you a database of bank transactions. Each row contains the
user ID, transaction type, transaction location, and transaction amount. They ask you to investigate what
type of machine learning can be applied to the data. Which three machine learning applications can you
use? (Choose three.)

A.Reinforcement learning to predict the location of a transaction.

B.Supervised learning to predict the location of a transaction.

C.Unsupervised learning to predict the location of a transaction.

D.Clustering to divide the transactions into N categories based on feature similarity.

E.Supervised learning to determine which transactions are most likely to be fraudulent.

F.Unsupervised learning to determine which transactions are most likely to be fraudulent.

Question 155

Cloud Dataproc is a managed Apache Hadoop and Apache _____ service.

A.Blaze

B.Spark

C.Fire

D.Ignite

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Question 151

Question 152

Question 153

Question 154

Question 155

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