Quiz 2023 Professional-Data-Engineer: Google Certified Professional Data Engineer Exam – Efficient Latest Study Materials

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NEW QUESTION 49
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 is not acknowledging messages within the acknowledgement deadline.
  • B. Your custom endpoint has an out-of-date SSL certificate.
  • C. The Cloud Pub/Sub topic has too many messages published to it.
  • D. The message body for the sensor event is too large.
Answer: B

NEW QUESTION 50
When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a ____ proxy.
  • A. HTTPS
  • B. HTTP
  • C. SOCKS
  • D. VPN
Answer: C
Explanation:
When using Cloud Dataproc clusters, configure your browser to use the SOCKS proxy. The SOCKS proxy routes data intended for the Cloud Dataproc cluster through an SSH tunnel.
Reference: https://cloud.google.com/dataproc/docs/concepts/cluster-web- interfaces#interfaces

NEW QUESTION 51
You create an important report for your large team in Google Data Studio 360. The report uses Google BigQuery as its data source. You notice that visualizations are not showing data that is less than 1 hour old.
What should you do?
  • A. Refresh your browser tab showing the visualizations.
  • B. Disable caching by editing the report settings.
  • C. Clear your browser history for the past hour then reload the tab showing the virtualizations.
  • D. Disable caching in BigQuery by editing table details.
Answer: B
Explanation:
Explanation/Reference: https://support.google.com/datastudio/answer/7020039?hl=en

NEW QUESTION 52
You are migrating a table to BigQuery and are deeding on the data model. Your table stores information related to purchases made across several store locations and includes information like the time of the transaction, items purchased, the store ID and the city and state in which the store is located You frequently query this table to see how many of each item were sold over the past 30 days and to look at purchasing trends by state city and individual store. You want to model this table to minimize query time and cost. What should you do?
  • A. Top-level cluster by store ID first, then city then state.
  • B. Top-level cluster by stale first, then city then store
  • C. Partition by transaction tome cluster by store ID first, then city, then stale
  • D. Partition by transaction time; cluster by state first, then city then store ID
Answer: B

NEW QUESTION 53
Your software uses a simple JSON format for all messages. These messages are published to Google Cloud Pub/Sub, then processed with Google Cloud Dataflow to create a real-time dashboard for the CFO.
During testing, you notice that some messages are missing in the dashboard. You check the logs, and all messages are being published to Cloud Pub/Sub successfully. What should you do next?
  • A. Check the dashboard application to see if it is not displaying correctly.
  • B. Use Google Stackdriver Monitoring on Cloud Pub/Sub to find the missing messages.
  • C. Run a fixed dataset through the Cloud Dataflow pipeline and analyze the output.
  • D. Switch Cloud Dataflow to pull messages from Cloud Pub/Sub instead of Cloud Pub/Sub pushing messages to Cloud Dataflow.
Answer: B
Explanation:
Stackdriver can be used to check the error like number of unack messages, publisher pushing messages faster.

NEW QUESTION 54
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