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To prepare for the Google Professional-Data-Engineer Certification Exam, candidates must have a solid understanding of data engineering fundamentals, as well as knowledge of the Google Cloud Platform and its associated services. Candidates can use a variety of study resources, such as official Google Cloud Platform documentation, online courses, and practice exams, to prepare for the exam. Additionally, candidates should have experience working with data processing systems, data warehousing, and data analysis tools.

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Exam Details

The Google Professional Data Engineer certification exam has the duration of 2 hours. The qualifying test is made up of multiple-select and multiple-choice questions. The exam is available either in Japanese or English. To register for it, you are required to go through the official webpage and pay the fee of $200 plus applicable taxes. While completing the registration process, the potential individuals can choose the preferred method of exam delivery. It can be taken in person at the nearest testing center or online from a remote location.

Google Professional-Data-Engineer Certification is highly respected in the industry, and it can open up new career opportunities for individuals who hold it. Google Cloud Platform is one of the leading cloud computing platforms, and companies across different industries are increasingly adopting it. Professionals who are certified in Google Cloud Platform technologies are in high demand, and they can earn competitive salaries. Therefore, passing the Professional-Data-Engineer exam is a worthwhile investment for individuals who want to advance their careers in the field of data engineering.

Google Certified Professional Data Engineer Exam Sample Questions (Q131-Q136):

NEW QUESTION # 131
You have Google Cloud Dataflow streaming pipeline running with a Google Cloud Pub/Sub subscription as the source. You need to make an update to the code that will make the new Cloud Dataflow pipeline incompatible with the current version. You do not want to lose any data when making this update. What should you do?

A. Create a new pipeline that has a new Cloud Pub/Sub subscription and cancel the old pipeline.
B. Update the current pipeline and provide the transform mapping JSON object.
C. Update the current pipeline and use the drain flag.
D. Create a new pipeline that has the same Cloud Pub/Sub subscription and cancel the old pipeline.

Answer: C

Explanation:
The key requirement is not to lose the data, the Dataflow pipeline can be stopped using the Drain option.
Drain options would cause Dataflow to stop any new processing, but would also allow the existing processing to complete.

NEW QUESTION # 132
You have a data stored in BigQuery. The data in the BigQuery dataset must be highly available. You need to define a storage, backup, and recovery strategy of this data that minimizes cost. How should you configure the BigQuery table?

A. Set the BigQuery dataset to be multi-regional. Create a scheduled query to make copies of the data to tables suffixed with the time of the backup. In the event of an emergency, use the backup copy of the table.
B. Set the BigQuery dataset to be regional. Create a scheduled query to make copies of the data to tables suffixed with the time of the backup. In the event of an emergency, use the backup copy of the table.
C. Set the BigQuery dataset to be multi-regional. In the event of an emergency, use a point-in-time snapshot to recover the data.
D. Set the BigQuery dataset to be regional. In the event of an emergency, use a point-in-time snapshot to recover the data.

Answer: B

NEW QUESTION # 133
You work for a car manufacturer and have set up a data pipeline using Google Cloud Pub/Sub to capture
anomalous sensor events. You are using a push subscription in Cloud Pub/Sub that calls a custom HTTPS
endpoint that you have created to take action of these anomalous events as they occur. Your custom
HTTPS endpoint keeps getting an inordinate amount of duplicate messages. What is the most likely cause
of these duplicate messages?

A. Your custom endpoint has an out-of-date SSL certificate.
B. The Cloud Pub/Sub topic has too many messages published to it.
C. The message body for the sensor event is too large.
D. Your custom endpoint is not acknowledging messages within the acknowledgement deadline.

Answer: A

NEW QUESTION # 134
You have two projects where you run BigQuery jobs:
- One project runs production jobs that have strict completion time
SLAs. These are high priority jobs that must have the required compute
resources available when needed. These jobs generally never go below a
300 slot utilization, but occasionally spike up an additional 500
slots.
- The other project is for users to run ad-hoc analytical queries. This project generally never uses more than 200 slots at a time. You want these ad-hoc queries to be billed based on how much data users scan rather than by slot capacity.
You need to ensure that both projects have the appropriate compute resources available. What should you do?

A. Create two reservations, one for each of the projects. For the SLA project, use an Enterprise Edition with a baseline of 300 slots and enable autoscaling up to 500 slots. For the ad-hoc project, configure on-demand billing.
B. Create a single Enterprise Edition reservation for both projects. Set a baseline of 300 slots.
Enable autoscaling up to 700 slots.
C. Create two Enterprise Edition reservations, one for each of the projects. For the SLA project, set a baseline of 800 slots. For the ad-hoc project, enable autoscaling up to 200 slots.
D. Create two Enterprise Edition reservations, one for each of the projects. For the SLA project, set a baseline of 300 slots and enable autoscaling up to 500 slots. For the ad-hoc project, set a reservation baseline of 0 slots and set the ignore idle slots flag to False.

Answer: A

NEW QUESTION # 135
The Dataflow SDKs have been recently transitioned into which Apache service?

A. Apache Spark
B. Apache Hadoop
C. Apache Kafka
D. Apache Beam

Answer: D

Explanation:
Dataflow SDKs are being transitioned to Apache Beam, as per the latest Google directive Reference: https://cloud.google.com/dataflow/docs/

NEW QUESTION # 136
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