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Professional-Data-Engineer Questions and Answers

Question # 1

You have a data pipeline with a Dataflow job that aggregates and writes time series metrics to Bigtable. You notice that data is slow to update in Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the data. What should you do?

Choose 2 answers

A.

Configure your Dataflow pipeline to use local execution.

B.

Modify your Dataflow pipeline lo use the Flatten transform before writing to Bigtable.

C.

Modify your Dataflow pipeline to use the CoGrcupByKey transform before writing to Bigtable.

D.

Increase the maximum number of Dataflow workers by setting maxNumWorkers in PipelineOptions.

E.

Increase the number of nodes in the Bigtable cluster.

Question # 2

You are collecting loT sensor data from millions of devices across the world and storing the data in BigQuery. Your access pattern is based on recent data tittered by location_id and device_version with the following query:

You want to optimize your queries for cost and performance. How should you structure your data?

A.

Partition table data by create_date, location_id and device_version

B.

Partition table data by create_date cluster table data by tocation_id and device_version

C.

Cluster table data by create_date location_id and device_version

D.

Cluster table data by create_date, partition by location and device_version

Question # 3

Your organization has been collecting and analyzing data in Google BigQuery for 6 months. The majority of the data analyzed is placed in a time-partitioned table namedevents_partitioned. To reduce the cost of queries, your organization created a view calledevents, which queries only the last 14 days of data. The view is described in legacy SQL. Next month, existing applications will be connecting to BigQuery to read theeventsdata via an ODBC connection. You need to ensure the applications can connect. Which two actions should you take? (Choose two.)

A.

Create a new view over events using standard SQL

B.

Create a new partitioned table using a standard SQL query

C.

Create a new view over events_partitioned using standard SQL

D.

Create a service account for the ODBC connection to use for authentication

E.

Create a Google Cloud Identity and Access Management (Cloud IAM) role for the ODBC connection and shared “events”

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