Free Access Google.Professional-Data-Engineer.v2023-09-14.q233 Practice Test (Page 43)

Question 206

A shipping company has live package-tracking data that is sent to an Apache Kafka stream in real time. This is then loaded into BigQuery. Analysts in your company want to query the tracking data in BigQuery to analyze geospatial trends in the lifecycle of a package. The table was originally created with ingest-date partitioning. Over time, the query processing time has increased. You need to implement a change that would improve query performance in BigQuery. What should you do?

A.Implement clustering in BigQuery on the ingest date column.

B.Implement clustering in BigQuery on the package-tracking ID column.

C.Tier older data onto Cloud Storage files, and leverage extended tables.

D.Re-create the table using data partitioning on the package delivery date.

Question 207

Google Cloud Bigtable indexes a single value in each row. This value is called the
_______.

A.primary key

B.unique key

C.row key

D.master key

Question 208

Which of these is not a supported method of putting data into a partitioned table?

A.If you have existing data in a separate file for each day, then create a partitioned table and upload each file into the appropriate partition.

B.Run a query to get the records for a specific day from an existing table and for the destination table, specify a partitioned table ending with the day in the format "$YYYYMMDD".

C.Create a partitioned table and stream new records to it every day.

D.Use ORDER BY to put a table's rows into chronological order and then change the table's type to
"Partitioned".

Question 209

You set up a streaming data insert into a Redis cluster via a Kafka cluster. Both clusters are running on Compute Engine instances. You need to encrypt data at rest with encryption keys that you can create, rotate, and destroy as needed. What should you do?

A.Create encryption keys in Cloud Key Management Service. Use those keys to encrypt your data in all of the Compute Engine cluster instances.

B.Create a dedicated service account, and use encryption at rest to reference your data stored in your Compute Engine cluster instances as part of your API service calls.

C.Create encryption keys in Cloud Key Management Service. Reference those keys in your API service calls when accessing the data in your Compute Engine cluster instances.

D.Create encryption keys locally. Upload your encryption keys to Cloud Key Management Service. Use those keys to encrypt your data in all of the Compute Engine cluster instances.

Question 210

You are developing a software application using Google's Dataflow SDK, and want to use conditional, for loops and other complex programming structures to create a branching pipeline. Which component will be used for the data processing operation?

A.PCollection

B.Transform

C.Pipeline

D.Sink API

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