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Google Professional Data Engineer Exam Questions and Answers

Question 33

Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?

Options:

A.

A sequential numeric ID

B.

A timestamp followed by a stock symbol

C.

A non-sequential numeric ID

D.

A stock symbol followed by a timestamp

Question 34

When you design a Google Cloud Bigtable schema it is recommended that you _________.

Options:

A.

Avoid schema designs that are based on NoSQL concepts

B.

Create schema designs that are based on a relational database design

C.

Avoid schema designs that require atomicity across rows

D.

Create schema designs that require atomicity across rows

Question 35

Flowlogistic wants to use Google BigQuery as their primary analysis system, but they still have Apache Hadoop and Spark workloads that they cannot move to BigQuery. Flowlogistic does not know how to store the data that is common to both workloads. What should they do?

Options:

A.

Store the common data in BigQuery as partitioned tables.

B.

Store the common data in BigQuery and expose authorized views.

C.

Store the common data encoded as Avro in Google Cloud Storage.

D.

Store he common data in the HDFS storage for a Google Cloud Dataproc cluster.

Question 36

Flowlogistic’s CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they’ve purchased a visualization tool to simplify the creation of BigQuery reports. However, they’ve been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?

Options:

A.

Export the data into a Google Sheet for virtualization.

B.

Create an additional table with only the necessary columns.

C.

Create a view on the table to present to the virtualization tool.

D.

Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.