Become Google Certified with updated Professional-Data-Engineer exam questions and correct answers
You are working on a sensitive project involving private user data. You have set up a project on Google Cloud Platform to house your work internally. An external consultant is going to assist with coding a complex transformation in a Google Cloud Dataflow pipeline for your project. How should you maintain users’ privacy?
You stream order data by using a Dataflow pipeline, and write the aggregated result to Memorystore. You
provisioned a Memorystore for Redis instance with Basic Tier. 4 GB capacity, which is used by 40 clients for
read-only access. You are expecting the number of read-only clients to increase significantly to a few hundred
and you need to be able to support the demand. You want to ensure that read and write access availability is
not impacted, and any changes you make can be deployed quickly. What should you do?
Which of these operations can you perform from the BigQuery Web UI?
You work for a large ecommerce company. You are using Pub/Sub to ingest the clickstream data to Google
Cloud for analytics. You observe that when a new subscriber connects to an existing topic to analyze data,
they are unable to subscribe to older data for an upcoming yearly sale event in two months, you need a
solution that, once implemented, will enable any new subscriber to read the last 30 days of data. What should
you do?
By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?
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