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Google Certified Professional Data Engineer Exam exam is one of the top-rated Google Professional-Data-Engineer exams. This Google Certified Professional Data Engineer Exam exam offers an industrial-recognized way to validate a candidate's skills and knowledge. Everyone can participate in Google Certified Professional Data Engineer Exam exam requirements after completing the Google Certified Professional Data Engineer Exam exam. With the Google Certified Professional Data Engineer Exam exam you can learn in-demand skills and upgrade your knowledge. You can enhance your salary package and you can get a promotion in your company instantly.

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Google Certified Professional Data Engineer Exam Sample Questions (Q67-Q72):

NEW QUESTION # 67
Your weather app queries a database every 15 minutes to get the current temperature. The frontend is
powered by Google App Engine and server millions of users. How should you design the frontend to
respond to a database failure?

• A. Retry the query with exponential backoff, up to a cap of 15 minutes.
• B. Retry the query every second until it comes back online to minimize staleness of data.
• C. Issue a command to restart the database servers.
• D. Reduce the query frequency to once every hour until the database comes back online.

Answer: A
NEW QUESTION # 68
You are migrating your data warehouse to BigQuery. You have migrated all of your data into tables in a dataset. Multiple users from your organization will be using the dat
a. They should only see certain tables based on their team membership. How should you set user permissions?

• A. Create authorized views for each team in datasets created for each team. Assign the authorized views data viewer access to the dataset in which the data resides. Assign the users/groups data viewer access to the datasets in which the authorized views reside
• B. Create SQL views for each team in the same dataset in which the data resides, and assign the users/groups data viewer access to the SQL views
• C. Create authorized views for each team in the same dataset in which the data resides, and assign the users/groups data viewer access to the authorized views
• D. Assign the users/groups data viewer access at the table level for each table

Answer: D
NEW QUESTION # 69
You want to automate execution of a multi-step data pipeline running on Google Cloud. The pipeline includes Cloud Dataproc and Cloud Dataflow jobs that have multiple dependencies on each other. You want to use managed services where possible, and the pipeline will run every day. Which tool should you use?

• A. Workflow Templates on Cloud Dataproc
• B. Cloud Scheduler
• C. cron
• D. Cloud Composer

Answer: D
NEW QUESTION # 70
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, enable a log sink export to Google Cloud Pub/Sub, and subscribe to the topic from your monitoring tool.
• C. Make a call to the Stackdriver API to list all logs, and apply an advanced filter.
• D. In the Stackdriver logging admin interface, and enable a log sink export to BigQuery.

Answer: A Explanation:
A and B are wrong since don't notify anything to the monitoring tool.
C has no filter on what will be notified. We want only some tables.
NEW QUESTION # 71
Your neural network model is taking days to train. You want to increase the training speed. What can you do?

• A. Increase the number of layers in your neural network.
• B. Subsample your test dataset.
• C. Subsample your training dataset.
• D. Increase the number of input features to your model.

Answer: A
NEW QUESTION # 72
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