• Google Professional-Data-Engineer Dumps

Google Professional-Data-Engineer Dumps

Google Professional Data Engineer Exam

    EXAM CODE : Professional-Data-Engineer

    UPDATION DATE : 2023-03-30





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Sample Questions

Question 1

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. Run a fixed dataset through the Cloud Dataflow pipeline and analyze the output.

C. Use Google Stackdriver Monitoring on Cloud Pub/Sub to find the missing messages.

D. Switch Cloud Dataflow to pull messages from Cloud Pub/Sub instead of Cloud Pub/Sub pushing messages to Cloud Dataflow.


Question 2

Your startup has never implemented a formal security policy. Currently, everyone in the company has access
to the datasets stored in Google BigQuery. Teams have freedom to use the service as they see fit, and they
have not documented their use cases. You have been asked to secure the data warehouse. You need to discover
what everyone is doing. What should you do first?

A. Use Google Stackdriver Audit Logs to review data access.

B. Get the identity and access management IIAM) policy of each table

C. Use Stackdriver Monitoring to see the usage of BigQuery query slots.

D. Use the Google Cloud Billing API to see what account the warehouse is being billed to.


Question 3

You are building new real-time data warehouse for your company and will use Google BigQuery streaming inserts. There is no guarantee that data will only be sent in once but you do have a unique ID for each row of data and an event timestamp. You want to ensure that duplicates are not included while interactively querying data. Which query type should you use?

A. Include ORDER BY DESK on timestamp column and LIMIT to 1.

B. Use GROUP BY on the unique ID column and timestamp column and SUM on the values.

C. Use the LAG window function with PARTITION by unique ID along with WHERE LAG IS NOT

D. Use the ROW_NUMBER window function with PARTITION by unique ID along with WHERE row
equals 1.


Question 4

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. The message body for the sensor event is too large.

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. Your custom endpoint is not acknowledging messages within the acknowledgement deadline.


Question 5

You are designing a basket abandonment system for an ecommerce company. The system will send a message to a user based on these rules:
No interaction by the user on the site for 1 hour
Has added more than $30 worth of products to the basket
Has not completed a transaction
You use Google Cloud Dataflow to process the data and decide if a message should be sent. How should you design the pipeline?

A. Use a fixed-time window with a duration of 60 minutes.
B. Use a sliding time window with a duration of 60 minutes.
C. Use a session window with a gap time duration of 60 minutes.
D. Use a global window with a time based trigger with a delay of 60 minutes.