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The Google Professional-Data-Engineer Exam covers a wide range of topics, including data processing systems, data analysis, machine learning, and data security on Google Cloud Platform. Candidates are expected to have a thorough understanding of these topics and be able to apply them in real-world scenarios.

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Google Certified Professional Data Engineer Exam Sample Questions (Q163-Q168):

NEW QUESTION # 163
Your new customer has requested daily reports that show their net consumption of Google Cloud compute resources and who used the resources. You need to quickly and efficiently generate these daily reports. What should you do?

A. Do daily exports of Cloud Logging data to BigQuery. Create views filtering by project, log type, resource, and user.
B. Export Cloud Logging data to Cloud Storage in CSV format. Cleanse the data using Dataprep, filtering by project, resource, and user.
C. Filter data in Cloud Logging by project, log type, resource, and user, then import the data into BigQuery.
D. Filter data in Cloud Logging by project, resource, and user; then export the data in CSV format.

Answer: D

Explanation:
https://cloud.google.com/logging/docs/view/logs-explorer-interface?cloudshell=true

NEW QUESTION # 164
You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the dat
a. Which two actions should you take? (Choose two.)

A. Modify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable
B. Configure your Cloud Dataflow pipeline to use local execution
C. Increase the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions
D. Modify your Cloud Dataflow pipeline to use the CoGroupByKey transform before writing to Cloud Bigtable
E. Increase the number of nodes in the Cloud Bigtable cluster

Answer: C,E

Explanation:
References:

NEW QUESTION # 165
Your company is migrating their 30-node Apache Hadoop cluster to the cloud. They want to re-use Hadoop jobs they have already created and minimize the management of the cluster as much as possible. They also want to be able to persist data beyond the life of the cluster. What should you do?

A. Create a Google Cloud Dataflow job to process the data.
B. Create a Cloud Dataproc cluster that uses the Google Cloud Storage connector.
C. Create a Hadoop cluster on Google Compute Engine that uses persistent disks.
D. Create a Hadoop cluster on Google Compute Engine that uses Local SSD disks.
E. Create a Google Cloud Dataproc cluster that uses persistent disks for HDFS.

Answer: B

NEW QUESTION # 166
In order to securely transfer web traffic data from your computer's web browser to the Cloud Dataproc cluster you should use a(n) _____.

A. VPN connection
B. SSH tunnel
C. Special browser
D. FTP connection

Answer: B

Explanation:
To connect to the web interfaces, it is recommended to use an SSH tunnel to create a secure connection to the master node.

NEW QUESTION # 167
You are building a model to make clothing recommendations. You know a user's fashion preference is likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available.
How should you use this data to train the model?

A. Continuously retrain the model on a combination of existing data and the new data.
B. Train on the new data while using the existing data as your test set.
C. Continuously retrain the model on just the new data.
D. Train on the existing data while using the new data as your test set.

Answer: B

NEW QUESTION # 168
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