Online Access Free Google.Professional-Data-Engineer.v2022-06-04.q132 Practice Test (Page 11)

Professional-Data-Engineer Exam Question 46

You have spent a few days loading data from comma-separated values (CSV) files into the Google BigQuery table CLICK_STREAM. The column DT stores the epoch time of click events. For convenience, you chose a simple schema where every field is treated as the STRING type. Now, you want to compute web session durations of users who visit your site, and you want to change its data type to the TIMESTAMP. You want to minimize the migration effort without making future queries computationally expensive. What should you do?

A.Create a view CLICK_STREAM_V, where strings from the column DT are cast into TIMESTAMP values. the view CLICK_STREAM_V instead of the table CLICK_STREAM from now on.

B.Add two columns to the table CLICK STREAM: TS of the TIMESTAMP type and IS_NEW of the BOOLEAN type. Reload all data in append mode. For each appended row, set the value of IS_NEW to true. For future queries, the column TS instead of the column DT, with the WHERE clause ensuring that the value of IS_NEW must be true.

C.Add a column TS of the TIMESTAMP type to the table CLICK_STREAM, and populate the numeric values from the column TS for each row. the column TS instead of the column DT from now on.

D.Construct a query to return every row of the table CLICK_STREAM, while using the built-in function to cast strings from the column DT into TIMESTAMP values. Run the query into a destination table NEW_CLICK_STREAM, in which the column TS is the TIMESTAMP type. the table NEW_CLICK_STREAM instead of the table CLICK_STREAM from now on. In the future, new data is loaded into the table NEW_CLICK_STREAM.

E.Delete the table CLICK_STREAM, and then re-create it such that the column DT is of the TIMESTAMP type. Reload the data.

Professional-Data-Engineer Exam Question 47

You need to create a near real-time inventory dashboard that reads the main inventory tables in your BigQuery data warehouse. Historical inventory data is stored as inventory balances by item and location. You have several thousand updates to inventory every hour. You want to maximize performance of the dashboard and ensure that the data is accurate. What should you do?

A.Use the BigQuery bulk loader to batch load inventory changes into a daily inventory movement table.
Calculate balances in a view that joins it to the historical inventory balance table. Update the inventory balance table nightly.

B.Partition the inventory balance table by item to reduce the amount of data scanned with each inventory update.

C.Use the BigQuery streaming the stream changes into a daily inventory movement table. Calculate balances in a view that joins it to the historical inventory balance table. Update the inventory balance table nightly.

D.Leverage BigQuery UPDATE statements to update the inventory balances as they are changing.

Professional-Data-Engineer Exam Question 48

What are the minimum permissions needed for a service account used with Google Dataproc?

A.Execute to Google Cloud Storage; write to Google Cloud Logging

B.Write to Google Cloud Storage; read to Google Cloud Logging

C.Execute to Google Cloud Storage; execute to Google Cloud Logging

D.Read and write to Google Cloud Storage; write to Google Cloud Logging

Professional-Data-Engineer Exam Question 49

What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

A.Sessions

B.OutputCriteria

C.Windows

D.Triggers

Professional-Data-Engineer Exam Question 50

What are two of the characteristics of using online prediction rather than batch prediction?

A.It is optimized to handle a high volume of data instances in a job and to run more complex models.

B.Predictions are returned in the response message.

C.Predictions are written to output files in a Cloud Storage location that you specify.

D.It is optimized to minimize the latency of serving predictions.

Other Version: 1121Google.Professional-Data-Engineer.v2026-07-25.q215; 1485Google.Professional-Data-Engineer.v2026-04-15.q159; 1459Google.Professional-Data-Engineer.v2025-12-07.q173; 3476Google.Professional-Data-Engineer.v2025-08-26.q176; 1798Google.Professional-Data-Engineer.v2024-06-19.q174; 3036Google.Professional-Data-Engineer.v2022-08-25.q116; 107Google.Test4engine.Professional-Data-Engineer.v2022-06-06.by.scott.132q.pdf; 3668Google.Professional-Data-Engineer.v2022-01-31.q110; 71Google.Actual4cert.Professional-Data-Engineer.v2021-08-19.by.tammy.173q.pdf

Latest Upload: 106PaloAltoNetworks.NGFW-Engineer.v2026-09-07.q58; 104Microsoft.MB-500.v2026-09-07.q167; 115Oracle.1Z0-1074-26.v2026-09-07.q40; 114Cisco.810-110.v2026-09-07.q34; 105SAP.C_THR81.v2026-09-07.q98; 145VMware.6V0-21.25.v2026-09-05.q33; 240HashiCorp.Terraform-Associate-004.v2026-09-05.q165; 464PMI.CAPM.v2026-09-05.q632; 161SAVEInternational.CVS.v2026-09-04.q65; 129Fortinet.NSE6_FSM_AN-7.4.v2026-09-04.q20

Professional-Data-Engineer Exam Question 46

Professional-Data-Engineer Exam Question 47

Professional-Data-Engineer Exam Question 48

Professional-Data-Engineer Exam Question 49

Professional-Data-Engineer Exam Question 50

Download PDF File