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Professional-Data-Engineer Latest Test Format | Vce Professional-Data-Engineer Free

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Google Certified Professional Data Engineer exam is a comprehensive test that evaluates the candidate's proficiency in a variety of areas related to data processing systems. Professional-Data-Engineer Exam covers topics such as the design and implementation of data processing systems, the management of data storage and processing systems, and the optimization of data processing workflows. Professional-Data-Engineer exam is designed to be challenging and requires a deep understanding of data processing systems and the Google Cloud Platform.

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Google Certified Professional Data Engineer Exam Sample Questions (Q176-Q181):

NEW QUESTION # 176
Your company needs to upload their historic data to Cloud Storage. The security rules don't allow access from external IPs to their on-premises resources. After an initial upload, they will add new data from existing on-premises applications every day. What should they do?

A. Write a job template in Cloud Dataproc to perform the data transfer.
B. Use Cloud Dataflow and write the data to Cloud Storage.
C. Install an FTP server on a Compute Engine VM to receive the files and move them to Cloud Storage.
D. Execute gsutil rsync from the on-premises servers.

Answer: D

NEW QUESTION # 177
You work for a manufacturing plant that batches application log files together into a single log file once a day at 2:00 AM. You have written a Google Cloud Dataflow job to process that log file. You need to make sure the log file in processed once per day as inexpensively as possible. What should you do?

A. Manually start the Cloud Dataflow job each morning when you get into the office.
B. Change the processing job to use Google Cloud Dataproc instead.
C. Configure the Cloud Dataflow job as a streaming job so that it processes the log data immediately.
D. Create a cron job with Google App Engine Cron Service to run the Cloud Dataflow job.

Answer: D

NEW QUESTION # 178
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 slots/ allocated_for_project
B. 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
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 a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes

Answer: A

Explanation:
https://cloud.google.com/bigquery/docs/monitoring

NEW QUESTION # 179
You have a job that you want to cancel. It is a streaming pipeline, and you want to ensure that any data that is in-flight is processed and written to the output. Which of the following commands can you use on the Dataflow monitoring console to stop the pipeline job?

A. Drain
B. Cancel
C. Stop
D. Finish

Answer: A

Explanation:
Using the Drain option to stop your job tells the Dataflow service to finish your job in its current state. Your job will immediately stop ingesting new data from input sources, but the Dataflow
service will preserve any existing resources (such as worker instances) to finish processing and writing any buffered data in your pipeline.

NEW QUESTION # 180
You are designing a pipeline that publishes application events to a Pub/Sub topic. You need to aggregate events across hourly intervals before loading the results to BigQuery for analysis. Your solution must be scalable so it can process and load large volumes of events to BigQuery. What should you do?

A. Schedule a Cloud Function to run hourly, pulling all avertable messages from the Pub/Sub topic and performing the necessary aggregations
B. Create a Cloud Function to perform the necessary data processing that executes using the Pub/Sub trigger every time a new message is published to the topic.
C. Create a streaming Dataflow job to continually read from the Pub/Sub topic and perform the necessary aggregations using tumbling windows
D. Schedule a batch Dataflow job to run hourly, pulling all available messages from the Pub-Sub topic and performing the necessary aggregations

Answer: C

NEW QUESTION # 181
......

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